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Local Electricity Markets

  • ID: 5018841
  • Book
  • October 2020
  • Region: Global
  • 384 Pages
  • Elsevier Science and Technology
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Local Electricity Markets introduces the fundamental characteristics, needs, and resource constraints shaping the design and implementation of local electricity markets, and addresses proposed local market models and lessons from their limited implementation. The book discusses decision and informatics tools considered important in the implementation of local electricity markets. It features a review of management and trading platforms, including commercially available tools. Aspects of local electricity market infrastructure are identified and discussed, including physical and software infrastructure, regulatory frameworks available for local electricity market development internationally, and barriers and opportunities for local electricity markets in the future.
  • Delineates key components shaping the design and implementation of local energy market structure
  • Provides a coherent view on the enabling infrastructures and technologies that underpin local market expansion
  • Explores the current regulatory environment for local electricity markets drawn from a global panel of contributors
  • Exposes future paths toward widespread implementation of local electricity markets using an empirical review of barriers and opportunities
  • Reviews relevant local electricity market case studies, pilots, and demonstrators already deployed and under implementation
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PART 1: Distributed Energy Resources as enablers of local electricity markets 1. Dealing with uncertainties 2. Electric Vehicles 3. Demand Response 4. From the Smart Grid to the Local electricity Market

PART 2: Local Market Models and Opportunities 5. Local Market Models 6. Peer-to-Peer Transactions 7. Transactive Energy 8. Local Markets Operation Under Stressful Conditions 9. Local Market Services' Trading 10. TSO and DSO interaction 11. Practical Implementation

PART 3: Decision and informatics tools; equipment/devices as enablers for local electricity markets 12. Commercially available tools 13. P2P platforms 14. Distributed Energy Resource Management Systems 15. Modelling, simulation and decision support 16. Data-hubs 17. Blockchain and messaging infrastructure 18. DLC devices / Smart Metering 19. Profiling 20. Forecasting 21. Optimization Tools

PART 4: Regulatory Framework: Current Trends and Future Perspectives 22. US 23. South America 24. Europe 25. UK 26. Africa 27. Asia 28. Australia 29. Wrap-up: Barriers, benefits and feasibilities 30. Conclusions and Paths for Future Research and Development

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Pinto, Tiago
Tiago Pinto (Lecturer, BISITE research group, University of Salamanca, Spain) works in the application of AI techniques to the study of electricity markets, specifically in the decision support of negotiating agents. He has been involved in several research projects involving the development and use of: Multi-Agent systems, Machine Learning algorithms, Knowledge-Based systems, Game Theory, Neural Networks, Genetic Algorithms, Particle Swarm Intelligence, and Data Mining. He is particularly interested in electricity markets, addressing the decision-support for market participants, negotiation strategies, machine learning and agent-based market simulation. He is also interested in smart grids, accommodating an intensive use of Renewable Energy Sources, Distributed Energy Resources (DER) and Distributed Generation (DG), addressing the management of energy resources and the negotiation of DER in electricity markets. He has authored over 150 publications in international journals and conferences. He has co-edited several books and special issues in journals related to power and energy systems and artificial intelligence.
Vale, Zita
Zita Vale (GECAD research group, Polytechnic of Porto, Portugal) is Professor at the School of Engineering (ISEP) of the Polytechnic of Porto (IPP) and Director of GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Developments. Her main interests regard the application of Artificial Intelligence Techniques to Power systems, including Knowledge based systems, Multi-agent systems, Neural Networks, Meta-heuristics, Optimization, Machine Learning, and Knowledge Discovery Techniques. She has been involved in more than 40 R&D projects from which she coordinated more than 20 projects. She is principally interested in Smart Grids, with an intensive use of Renewable Energy Sources, Distributed Energy Resources and Distributed Generation, addressing the management of energy resources, the negotiation of DER in electricity markets, demand response, and electric vehicles. She is also interested in electricity markets, addressing prices and tariffs, decision-support for market participants, ancillary services, derivatives market, pricing and market simulation.
Widergren, Steve
Steve Widergren (Principal Engineer, Pacific Northwest National Laboratory, USA) is interested in the application of information technology to power engineering problems including simulation, control, and system integration. He was the founding Administrator for the GridWise Architecture Council - a group formed to enable interoperability of automated systems related to the electric system. Prior to joining the Laboratory, Mr. Widergren was a corporate engineer at ESCA, now GE, an electricity control center supplier. Prior to that, he worked at American Electric Power and interned at Pacific Gas and Electric. In these positions, he engineered and managed energy management systems products for electric power operations and supported power system computer applications.
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