The Dynamic Distribution System: A Concept for the 51st State Project
Transcription
The Dynamic Distribution System: A Concept for the 51st State Project
The Dynamic Distribution System: A Concept for the 51st State Project By Bruce Beihoff, Tom Jahns, Robert Lasseter, and Gary Radloff Any statements and opinions expressed in this paper are solely from the authors and are not the views and opinions of the University of Wisconsin System, University of Wisconsin-Madison, Wisconsin Energy Institute, or any other affiliated organizations of the authors. Table of Contents 51st State Project – Dynamic Distribution System Introduction of the Dynamic Distribution System (p. 3-4) Major Dynamic Distribution System Operation and Control Principles (p. 4) A Systems Approach Required for Design (p. 5) Networks as Architectural Endeavor (p. 5-6) Designing New Small Networks: Resilience, Autonomy, and Plug & Play (p. 7-8) Guiding Principles for Dynamic Distribution System Marketplace and Rates (p. 8) Designing the Market and Rates in a Dynamic System (p. 8-10) Designing the Network (p. 10-11) The Importance of enhancing steady DERs growth and strategic microgird use in creating the evolution of the energy system (p. 11-13) Key Constituents (Stakeholders roles and impacts) (p. 14-15) Designing the Policy (p. 15-17) Notes and References (p. 18-19) Images Figure 1 – Dynamic Distribution System – p. 3. Figure 2 – Architectural Approach Defined – p. 6. Figure 3 – Dynamic Distribution with Multiple DSO’s and their Relationship to the TSO – p. 8. Figure 4 – Architectural approach to DDS Site Design – p. 13. 2 The 51st State Project – Creating a Dynamic Distribution System Introduction: The 51st State would create a dynamic distribution system1 that includes oversight by a distribution system operator (DSO)2 as the local energy balancing authority and marketplace clearinghouse. (Figure 1) As conceived, the dynamic distribution system uses local sources to track loads, stabilize voltage and frequency, and smooth intermittent renewable energy generation providing a predictable, constant load profile to the utility. The primary purpose of the dynamic distribution system is to allow for integration of thousands of distributed energy resources (DERs), defined as power generation and/or storage systems (including electric vehicle batteries), that connect directly to the distribution network or connect on the customer side of the meter, including photovoltaics (PV), internal combustion engines, gas turbines, fuels cells, wind turbines, biomass anaerobic digesters, heat pumps, combined heat and power facilities, and microgrids. This new dynamic distribution system connects central and local electricity generation with a marketplace that enables energy transactions, such as payments passing between buyers and sellers of energy at the local distribution level. This new system provides a promising framework for (DERs) to deliver the same services at a better price, with decreased power losses, decreased emissions, and better reliability. Figure 1 – Dynamic Distribution Systems 1 Beihoff, B., Jahns, T., Lasseter, R., and Radloff, G. (2014). Transforming the Grid from the Distribution System Out. The Potential for Dynamic Distributions Systems to Create a New Energy Marketplace. A Wisconsin Energy Institute white paper, University of Wisconsin-Madison. July 2014. Available at www.energy.wisc.edu. st 2 Kristov, L. and De Martini., P. (2014) 21 Century Electric Distribution System Operations. http://resnick.caltech.edu/docs/21st.pdf 3 Key Dynamic Distribution System features: (for details see pp. 7-8) • Emphasize plug-and-play functionality with the distribution region. • Promote peer-to-peer model among DER sources (no master controller is required for dynamic control of the distribution system). • Encourage fast autonomous control for load tracking, voltage and frequency control. • Enable market participation by all sources. • Localized control is exercised to implement balancing authority and market provider responsibilities. Dynamic distribution is an energy and power system founded on principles that are emerging from the latest in power systems control theory, microgrid research and implementation, grid automation experiences, dynamic market models, ethernet, to produce dynamically adapting networks. A key assumption is that the dynamic distribution system removes most of the technical issues and planning uncertainty from the legacy interconnected central station generation due to the growth of distributed energy resources.3 The increased volatility seen at the transmission-distribution, (T/D) interface due to increased penetration of renewables and DERs is stabilized by the use of advanced DER technology and demand side management in the distribution system. Many alternatives to the dynamic distribution system are being explored and practiced today. Smart Grid, Mesh-Grid, Strong Grid, Co-Generation, Off-Grid, are all fairly well known brand names for electricity grid solutions that are either focused on large centralized master controls or minimalist, single home or factory isolated generation approaches. The dynamic distribution system attempts to draw the best elements of the grid design ideas continuum today to create a dynamic marketplace. Major Dynamic Distribution System Operation and Control Principles • • • • • The ISO/TSO continue to play their current role as balancing authority and electricity market providers at the transmission level. Each local distribution region has its own distribution system operator that serves as the balancing authority and electricity market provider for its close proximity region. Central power plants have responsibility for delivering bulk power to distribution regions. The distribution system operators act to reduce the volatility of power flow from central power plants to their distribution regions. The distribution system operator has authority in region to adjust DER power sources, utilize energy storage, and loads to achieve objective of reducing volatility of power flow. 3 Accenture (2014) How can utilities survive energy demand distruption? Accessed February 9, 2015 at www.accenture.com 4 A Systems Approach Required for Design One of several critical questions in designing a new energy system for the 51st State is how to most effectively integrate thousands of (DERs) while still maintaining a balance and a connection to the other 50 states with their legacy central generation electric power system and aging electrical grid. To put it simply, the 51st State is still a part of a robust energy system requiring an understanding of systems designs, networks, architectures, technologies, economic markets, the environment, and policies – including standards, rules and regulations. The new energy system design in the 51st state is not an isolated silo. Yet, the 51st State does create a unique opportunity to design a new system, first, from the bottom-up starting at the home, business, industrial park, campus, and community to best integrate distributed energy resources and these local energy generation load centers, and then consider how they connect to what will remain of legacy energy infrastructures. This means answering a second critical question of how to rethink and redesign the transmission and distribution interface of the energy system. The dynamic distribution system is a framework for providing local or regional power generation architecture at the intersection of the transmission and distribution system. The dynamic distribution system approach is to create smart local distribution centers run by Distribution System Operators (DSOs).4 Competing in the marketplace overseen by the DSO could be local users groups, third party companies, utilities, and combinations of these entities. The DSO and the dynamic distribution system forms an adaptive and self-optimizing system for best solving the interactions of reliability, efficiency, total economy, and total sustainability. It also enables the most symbiotic integration with fuel and water networks in the densely packed environments. Networks as Architectural Endeavor The present technological approaches have not yet taken the central problem of grid evolution and it’s relation to the other related energy networks as a architectural endeavor. (Figure 2 Architectural Approach Defined see next page) Successful architectural evolutions of the past three decades have taught us some central principles that we have combined in new ways to conceptualize the dynamic distribution system: (1) Self-adapting distributed control that has balance between totally autonomous operation and optimum global cooperation; (2) Adaptive market model imbedded into the improved technology system architecture; (3) Self-organizing and resilience capability encompassing grids containing wide range of centralized and decentralized resources. 4 st Kristov, L. and De Martini., P. (2014) 21 Century Electric Distribution System Operations. http://resnick.caltech.edu/docs/21st.pdf 5 Figure 2. Architectural Approach Defined Distributed energy resources include many different technologies with very different characteristics, for example battery storage, inverter-based generation can respond to load changes in a few cycles. Natural gas generators, microturbines and flow batteries take seconds to respond while fuel cells requiring many minutes. Renewables are intermittent changing with local weather and cannot alone provide power for a changing load. Currently, diurnal intermittency of solar PV creates risk of over-generation and excessive ramping of dispatchable base power. In layman’s terms some observers refer to this as the “duck curve” where in areas with large amounts of self-generation PV the existing large utilities must deal with customer power demand increase at the end of the day as house lights and air conditioners power up and the sun goes down. The increased penetration of micro power in the electrical network is creating technical and financial challenges for today’s utilities, but this need not be the case. A new dynamic distribution system can address these challenges to traditional electric utilities by having the responsibility of tracking load fluctuations, firming intermittent renewables and providing a distribution-level marketplace at the local or neighborhood level. Off-loading these fluctuations allows for more efficient operation and planning for the centralized generation system. Changing these management functions to the dynamic distribution system enables the efficient and effective integration of larger amounts of renewable energy, including biomass power, geothermal, and intermittent solar and wind. This system combines the best of both the centralized generation system and distributed energy resources and could be the technological foundation for a new energy value proposition in which both utilities and third party power providers prosper. This means designing a new market model and at the same time creating a new network model. 6 Designing New Small Networks: Resilience, Autonomy, and Plug & Play The dynamic distribution system represents a paradigm shift from the legacy centralized generation plant. The dynamic distribution system design and architecture starts with a bottom up approach meaning the new network is a clustering of smaller networks of power generators and loads – existing in close proximity to each other – with peer-to-peer sharing of information and technology. The paradigm shift is also away from – the concept of “economies of scale” which historically has defined the advantages of large base load generation – to the concept of “economies of numbers.” What the latter means is having many functionally clustered generators close to demand (loads) reducing costs compared to getting power from a remote power station, further reducing the amount of expensive transmission build outs, and reducing the inefficiencies associated with power and heat losses in the legacy energy system. Again, another paradigm shift is away from legacy unidirectional power flow to bidirectional power flows. It is also believed that when fully operation the dynamic distribution system can significantly reduce base load generation reserve capacity, and typical energy system over building, resulting in further savings with the economies of numbers over economies of scale. Technology advances are what will make the dynamic distribution system a success, but many of these technologies are on the market today. For example, advanced controller technology provides the fast autonomous control for load tracking, voltage and frequency control and will eventually allow for communications with the distribution system operator in the new market model. The peer-to-peer model common among distributed energy resources create system flexibility and combined with autonomous controls allow microgrids to work with generation, storage, and loads to seamlessly operate while balancing voltage and frequency issues. The plug and play functionality also contributes to system flexibility and adaptability, for example, having generators near the heat loads creating more opportunities to use highly efficient combined heat and power plants. It is best to conceptualize the plug and play functionality of DERs as when using a home appliance. In addition, the new functional cluster energy networks located below the substation level of the energy system will lessen risk and enhance resiliency as DER hardware and software exist at this smaller scale design points. Potential energy system problems, if they occur, can be solved or managed at this local hub or micro level. In the event of catastrophic weather events, the proliferation of microgrids allow for local energy generation to go into island mode and ramp up as needed. (See Figure 3 next page) – showing the broader picture of dynamic distribution systems with multiple Distribution System Operators (DSO) having different mixes of sources, loads, and storage. 7 Figure 3 – Dynamic Distribution with Multiple DSO’s and their relationship to the TSO Guiding Principles for Dynamic Distribution System Marketplace and Rates 1. Eliminate volatility at the Transmission / Distribution (T&D) Interface 2. Open access participation to the marketplace. 3. Transparency in all energy market transactions. 4. Performance goals for utilities and energy providers with clear metrics for success. 5. Incentives to meet performance goals and penalties for failure to meet performance goals. 6. Maximize opportunities for energy technology innovation including as needed experimental tariffs or temporary buy back rates in markets to test new technology innovation. 7. Energy rates and tariffs will include calculations for externalities in rate making including: reducing water usage, reducing greenhouse gases from generation sources, improving air quality, and other risk assessments. 8. Designing rates that equitably distribute key infrastructure costs and necessary build outs. Designing the Market and Rates in a Dynamic System A dynamic distribution system, based on a new balance in structure and function between centralized and decentralized architecture, requires a new market model. This involves a balance between highly regulated exclusive franchise and free-for-all bid and trade schemes. Alone these two energy market schemes are sub-optimal when taken as isolated solutions to our ever more dynamic social and economic needs. These factors suggest a dynamic market built from building 8 blocks some of which are taken from the two ends of the central to ultradistributed spectrum of possibilities. This portfolio of sub-markets approach is logically centered on the distribution layer of the electrical network based on two major driving factors: (1) distribution is the natural interface between distributed energy, centralized power, and point of use generation; (2) the scale of distances in the distribution network allows waste heat to be distributed as a utility thereby greatly increasing efficiency; (3) the market can effectively and safely be tailored to the local and regional needs of the economic ecosystem at the distribution layer of the electrical network. The dynamic distribution system combines a regional and locally tailored market model built from this new set of building blocks. As an example the market in California and a market in New York would contain a different combination of tailored cooperative building blocks (e.g. Adaptive spot trade exchanges, supply-demand equilibrium exchanges, bid-trade pools, performance rates exchanges, dynamic pricing plans, and energy services bundling (as an example). It is not intended that all these marketplace models would exist right away, but more likely would be an evolution of integration for achieving the best combinations. This building block approach for the first time creates flexible and robust, self-tuning market with number of cooperating submarkets. It is further envisioned that this new dynamic electrical and thermal distribution market would also serve as an evolutionary, cost-effective architecture to adapt and integrate centralized generation, transmission, fuel supplies and individualized energy markets into a more balanced and integrated energy ecosystem. To understand the designing of the 51st State marketplace the following definitions are helpful: Market Place Model Definitions: Adaptive spot trade exchange: market mechanism that changes the energy spot price and allowance of next price increment based on adaptation to overall market volatility and present value metrics; Supply-demand equilibrium exchange: market mechanism that ‘set’s next price bid based on computing distance of present bid price from the supply demand equilibrium point as inferred from availability and demand dispatch algorithms; Bid-trade pools: market mechanism that creates pools to which power users and producers subscribe that bid and dispatch as coordinated entities in larger markets; 9 Performance rate exchanges: energy purchase rates that are calculated on a specific updated schedule that are based on a balanced combination of spot cost, overall efficiency, and other externality measures; Dynamic pricing plan: market mechanism that dynamically changes the cost of energy based on real-time calculation of direct and indirect costs; Energy service bundling: market mechanism that permits the utilities and third party energy providers to offer additional services to consumers beyond metered power and apportion these the charges in various rate and billing structures (e.g. premium power system resilience. premium power quality, pulse power, power system maintenance, distributed energy system leasing, project financing, technology upgrades, system retrofits, etc.). Price signals are the key element of a dynamic distribution system and its dynamic marketplace. Transparency of pricing is critical to success. Rules of the marketplace will be set by policymakers and enforced through standards that apply to utilities, third-party vendors, and all other market participants. Designing the Network In the 51st state a traditional integrated utility-style energy generation-distributiontransmission infrastructure continues to exist. Industrial customers or residential end-users wishing to purchase bulk power or maintaining a traditional electric and/or thermal connection from a base-load plant could continue to have these transactions if desired. Certain assumptions are being made that the 51st state already has a large penetration of solar PV in the market and that other renewable generation from third-party providers is available through wind turbines, anaerobic digesters, and geothermal. The biggest difference is with the dynamic distribution system a new network and new market exists that has a level playing field for competition among third-party energy generations, customer-based generation, and utility spin off service and energy companies. The phrase “integrated distributed” electricity system has been coined by others to define a high-DER penetration, multi-directional energy flows and multi-level optimization network below the sub-station level.5 This design is particularly well suited to meeting the needs of residential or industrial parks utilizing DERs, community-solar clusters, municipalities and smaller community energy sights, for example, individual buildings with smart energy systems that may or may not use microgrids. Many of the DERs will be self-optimizing meaning they would be able to island with smart building and microgrid technologies. Another term to describe these areas is the “local distribution area” and a distribution system operator (DSO) would exist at the transmission-distribution interface. The purpose is to simplify issues involving control and coordination mechanisms, networking, data management and other operational issues relating to a 5 st Kristov, L. and De Martini, P. (2014). 21 Century Electric Distribution System Operations. http://resnick.caltech.edu/docs/21st.pdf 10 balancing authority. The DSO would aggregate and coordinate all DER and enduse loads within each of the local distribution areas. This also allows for a single point bid and ability to respond to dispatch signals from an independent system operator (ISO) or regional transmission organization (RTO). Most importantly, it allows for balancing of intermittency because the integrated decentralize system may be a layered or nested hierarchy of self-optimizing sub-systems. This grid control platform allows for data analytics and new business models for managing volatility. The new business model has the DSO providing open-access distribution services. This area services include balancing supply-demand, using the interchange with an ISO/RTO for sales and purchases, settling transactions with DERs and end-users, assisting with open access interconnection procedures. One aspect of the DSO and service arrangement could include that the DER/customers who add variability might have added service fees and the DER/customers helping managing variability receive bonus payments. Further, this system allows for scalability and management of any system risks at level well below the other areas of the grid. The new business model increases market service opportunities that may be provided via tariffs, bilateral contracts, or other methods to service other entities across the distribution system such as a municipal utility or cooperative utility in the area or region. The DSO could operate local markets and relieve customers and energy end-users of many administrative burdens. The importance of enhancing steady DERs growth and strategic microgrids use for creating the evolution of the energy system Distributed energy resources provide great promise in building out the new dynamic distribution system. The growth of DERs combined with greater utilization of microgrids creates a network architecture that can allow for a transition from the legacy energy system to the dynamic distribution system. Microgrids are drawing increased international attention as a means of harnessing these forces for the mutual benefit of end users, third-party providers of energy services, and utilities. The microgrid is a localized grid that can seamlessly enable plug-and-play interconnection of any type of distributed resource while efficiently transferring both electrical and thermal energy between sources and loads, and smoothly disconnecting/reconnecting to the main grid as needed to provide resiliency. Future microgrids will need to increasingly take on the role of market builders. To create this new value paradigm, we need to extend the microgrid concept to accommodate and support an advanced distribution system.6 In other words, micro-power’s reliability and low cost proposition is challenging the basic electrical utility’s “economy of scale” model, and the possibility of building highly distributed power network containing thousands of micro-generators is become a serious competitor to the traditional model. 6 Lasseter, Robert H. (2011). Smart Distribution: Coupled Microgrids. Proceedings of the IEEE. Vol. 99, No. 6, June 2011. 11 A new energy distribution system combining the best of plug and play DERs, microgrids, and advanced power distribution and control equipment present the possibility of evolving the existing utilities and third party energy stakeholders to a better, more adaptive system. This new thoroughfare allows the electric utility, third parties, and power users to access (and profit from) a network of distributed energy resources (DERs), including greater clean energy generation options, demand response, and energy storage, as well as other technologies. In fact, this option may enable a better use of the overall energy transmission resource by allowing for measures such as targeted customer services of improved reliability, clean energy generation, pulse power, campus reconfiguration, and ongoing upgrades, preventative maintenance and overall lower system operating costs. What can come from the increased deployment of microgrids and the creation of a new distribution system is the chance to re-task the electric utility and extract more return from the associated investments. This is the new value proposition for the energy system of the future and can grow the revenue pie for all parties. A microgrid is the ultimate culmination of the distributed generation concept, creating a localized grid of electricity for a community, business park, or individual firm. Policymakers and regulators faced with the challenge of lowering the energy sector carbon emissions are called on to embrace the benefits of a microgrid as the great integrator of all the DER sub-networks and their benefits. Utilities must recognize that the microgrid can be a critical part of their new business model by providing the key linkage between the existing substations to what some call the “distribution edge” or “grid edge”7 where distributed generation resources will be located. A California Public Utility Commission (PUC) white paper8 points out that there can be an easy way to encourage electrical utilities and third-party distribution, control, DERS equipment and microgrid developers to collaborate by creating a policy that targets sitting tailored DERs combinations, microgrids, and distribution automation in areas that would provide benefits to the existing electric grid (distribution networks). Such a process would motivate DERs distribution equipment and microgrid developers to collaborate with utilities to identify areas that are experiencing congestion, power quality, capacity, or grid-balancing issues. The targeted sitting strategy might allow for costs to be built into a utility rate structure or attached to the physical assets tax equity instead of requiring the microgrid developer or specific customer to shoulder the full installation costs. One advantage of microgrids is their ability to be located near distributed generation sites, at locations that will benefit from having CHP onsite without requiring major grid infrastructure upgrades. Another added value of microgrids is the customer benefit of resiliency, and the ability to function as an island during a 7 The Rocky Mountain Institute. (2013). New Business Models for the Distribution Edge. Published April 2013. www.rmi.org/new_business_models GTM Research. (2013) Grid Edge. Utility Modernization in the Age of Distributed Generation. Accessed at www.greentechmedia.com 8 Villarreal, Christopher, Erickson, David, and Zafar, Marzia. (2014) Microgrids: A Regulatory Perspective. California Public Utilities Commission. April 14, 2014. 12 major weather event. Microgrids can also be strategically located to provide resilient power to critical urban infrastructure sites such as hospitals, police and fire department, as well as sites that can serve as safe havens for citizens in a catastrophic event such as public schools and university campus areas.9 Reviewing figure 4 (Architectural Approach to Dynamic Distribution System Site Design see below) shows a conceptual approach to this evolutionary method. This system architecture based planning and management process enables utilities, third party stakeholders and governmental entities to start small and produce large benefits. The design depicted in figure 4 shows (starting far left and moving to the right) the targeted selection of neighborhoods with either high DERs penetration or that might benefit the grid in balancing of intermittent generation, network mapping of the region, looking at all networks integration (exp. electrical, water, and fuel networks), running market models based on dynamic economic pricing, and layering findings over life-cycle assignments to measure and determining overall system benefits. Figure 4 - Architectural Approach to DDS Site Design 9 Villarreal, Christopher, Erickson, David, and Zafar, Marzia. (2014) Microgrids: A Regulatory Perspective. California Public Utilities Commission. April 14, 2014. 13 Key Constituents (aka stakeholders) - Electric utilities, whether vertically integrated or distribution only The solar/DER industry value chain, from manufacturers to developers to installers The solar/DER customer The non-solar/DER customer Regulatory and policy-making bodies Independent power producers Municipalities as unique government entity A critical constituency in the success of the dynamic distribution system remains the electrical and thermal, gas and wires market regulators. The DSO could be an important player in planning for the energy system, but much of its feedback must also go back to regulators overseeing the state and/or region. Many believe that advancing DERs, microgrids, energy storage could take some pressure off the short-term need to build out more transmission infrastructure. Yet, it must also be acknowledged that with thousands of new self-generation and storage sites other infrastructure builds out may be necessary. This means a statewide planning process remains critical in the 51st state, similar to other states. The traditional integrated resource planning for energy must be adapted to the dynamic distribution system with the additions of merchant DER, microgrids and thousands of behind-the-meter DER systems in a local market alone. This gets back to an earlier discussion about systems approaches needing to recognize that top-down administration will likely continue for system-wide planning needs. Still, the bottom-up approach of the dynamic distribution system allows for greater citizen-engagement as businesses and homeowners now become a partner/collaborator in a successful energy delivery system versus the more traditional end-user consumer only role. Organizations such as the Institute for Local Self-Reliance, and their energy researcher John Farrell, have produced policy papers on the “democratization of the electric grid” opportunities with rooftop solar PV10. The creation of local distribution areas in the dynamic distribution system model has many synergistic opportunities with community solar sites, the formation of energy cooperatives, and local government policy goals whether the community does or does not have a municipal utility. A core value in the dynamic distribution system is making energy generation and economic transactions transparent to all. The local government entities in partnership with distribution system operators, along with a role for state regulators, must make sure that there are rules of the operation of the new energy market that guarantee it is a “free market” versus a “free-for-all”. The bottom line is that that solar/DER customers, the DSO, local and state government have a new relationship in a more transparent and democratic energy market place. 10 Farrell, J. (2014). Beyond Utility 2.0 to Energy Democracy. Institute for Self Reliance. December 2014. 14 A great new business opportunity is created under the establishment of a dynamic distribution system for the solar/DER industry value chain, from manufacturers to developers to installers. While some assumptions were made that solar PV market penetration was higher than today in the other 50 states, it is still expected that the DDS will be a catalyst for market growth and new value propositions. There is no reason why existing electric utilities cannot also participate in the growth of the energy value pie if they are willing to compete with third party energy generators and other new businesses. The expertise of utilities and their ability to invest in the market is an asset and will help make the energy system meet goals that electricity is provided safely, reliably, and affordably. While regulators will need to make sure utilities are not given an unfair market advantage, a balance can be struck to allow for maintaining utility investments in transmission assets in the 51st state. Likewise, non-solar/DER customers can chose to contract for energy services with utilities if they wish. More alternatives may be available to these customers in the 51st state, but if there is a customer loyalty with their utility that can remain. Municipalities and local government may see an increasing role in energy policy and market development. Today, municipal government is playing a leading role in climate change policy and clean energy development and that role can likely increase with the dynamic distribution system. Community organizations may engage citizens more around energy as solar PV, storage, microgrids, and smart energy buildings proliferate in their hometown. Some issues such as zoning and industrial park development have always been local and now energy may well be an increasing part of that policy mix. Again, with transparency of energy development and prices, the local citizenry should gain an understanding of what energy means to their lives and community. Designing the Policy In the United States, federal energy policy, from the Federal Energy Regulatory Commission (FERC) – covering wholesale generation, inter-state transmission, and wholesale energy markets, North American Electric Reliability Commission (NERC) – covering policies to guarantee reliability of the transmission grid, and to a lesser degree some of the Department of Energy policies, will continue to impact the 51st state. Likewise, the ISO/RTO will continue to provide nondiscriminatory transmission access and organized wholesale markets for electricity to facilitate competition among wholesale suppliers, schedule the use of transmission lines and manage transmission with locational pricing signals. Since the U.S. delegates a large portion of energy policy to states, the 51st state will have great latitude to design unique energy policies. Broadly speaking a federal carbon tax policy would help the new dynamic distribution system to price true energy generation costs by better reflecting externalities such as carbon dioxide, methane, and other greenhouse gases from any high carbon fuels such as coal, oil and natural gas. In lieu of a federal carbon tax, the 51st state would utilize transitional policies such as performance based incentives or rates with 15 utilities, independent power producers and other energy generators to advance clean energy production, greater energy efficiency steps, more use of combined heat and power generation, and reductions in greenhouse gases. The performance based incentives or rates might be a transitional policy step if the market starts to correct itself to advance clean energy technology over high carbon energy generation. The 51st state would develop policy goals for increasing renewable energy generation, targets for energy efficiency, and targets for environmental compliance and develop strong, clear metrics for achieving goals and targets. Generally, using clean energy generation such as solar PV, wind, anaerobic digesters in the local distribution area of the dynamic distribution system could benefit the entire energy system. It is likely that energy services will come in new categories and that cost allocation will have to reflect these changes in the service delivery. On a simple level, some customers will see categories like their cable service contract such as a basic level of service at a lower cost, and then an enhanced level or levels of service depending upon customer needs and wishes. Some easy to understand enhanced services might include frequency and voltage quality, backup service, a higher-reliability of service. Related to DERs there may be services for installation, repair, maintenance, and upgrade of PV panels, microgrids, storage equipment, vehicle plug-in equipment, and other equipment. Many providers may wish to get into the whole building energy management system including energy efficiency, a possible CHP operation, smart meters, among others. For many of these areas pricing is based on services delivered. Traditional utility cost recovery based on investment and generation assets and energy kilowatt hours used may not entirely go away, but it will be less and less a part of the utility business as demand goes down with energy efficient buildings, demand response, time of use, and most important distributed generation from many local sources grow. Again, transmission and related infrastructure may look more like the traditional model based on use and sales, in addition new fees for limited users versus large industrial users, while traditional distribution services will go more to the service model. Finally, some policy may need to be designed for low income homes in terms of either a subsidy for joining something like a community solar project to have self-generation or subscribing to a more basic level of energy service coming from a utility or other provider. The marketplace in the dynamic distribution system would have careful oversight from distribution systems operator, in collaboration with existing federal agencies cited above, and the ISO/DTO. Keeping transactions transparent and accessible to the public is critical for success. Market participants would likely have service/performance contracts with some type of service and delivery aggregator, and the DSO would oversee contract compliance. Since it is anticipated that the local distribution areas could be cooperatives, community solar sites, local government oversight would be logical. While the dynamic marketplace creates opportunities for strong market self-regulation, the rules of the market still will 16 need to be spelled out to avoid the “free-for-all” scenario versus “free market” and the 51st state will have state and local regulations. An opportunity exists to require a robust utility strategic planning process in the 51st state to require large utilities, independent service or third-party businesses, the cooperative and community organizations in local distribution areas, to all provide input on statewide and local infrastructure investments in shared architecture needs and policy to govern the marketplace. Citizens would be encouraged to participate in local and state meetings feeding into the 51st energy planning process. Ideas and metrics for performance-based rates could be reviewed in five year increments to adjust as necessary the marketplace changes or incorporation of new technologies. Access to energy market data can be managed by the 51st state to both protect privacy and still allow for transparent transactions. It will take transitional steps for most of the 50 states to complete the energy market transformation found in the proposed dynamic distribution system. The 51st State energy market could be a national model for other states to observer during their transitional or evolutionary period. The key is to create adaptive and flexible policies, including experimental rate structures and performance-based rates, recognizing evolutionary change may require learning from some design mistakes along the way and making changes as necessary. Most importantly, creating policies empowering the new energy citizen and energy prosumer to be an active participant in the energy system makes our democracy stronger. 17 References Accenture (2014) How can utilities survive energy demand disruption? Accessed February 9, 2015 at www.accenture.com Beihoff, B., Jahns, T., Lasseter, R., and Radloff, G. (2014). Transforming the Grid from the Distribution System Out. The Potential for Dynamic Distributions Systems to Create a New Energy Marketplace. Wisconsin Energy Institute, University of WisconsinMadison. July 2014. 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Microgrids: A Regulatory Perspective, CPUC Policy & Planning Division. Authors: Bruce Beihoff, Technical Director of Industry Relations, Wisconsin Energy Institute Tom Jahns, Grainger Professor of Power Electronics and Electrical Machines, University of Wisconsin-Madison Robert Lasseter, Emeritus Professor, Electrical and Computer Engineering, University of Wisconsin-Madison Gary Radloff, Director of Midwest Energy Policy Analysis, Wisconsin Energy Institute Authors Note: The authors wish to thank Dr. Lorenzo Kristov, California Independent System Operation (CAISO) for his input and critique of this paper. 19