Local Electricity Markets
- 1st Edition - July 3, 2021
- Imprint: Academic Press
- Editors: Tiago Pinto, Zita Vale, Steve Widergren
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 0 7 4 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 2 6 6 6 - 7
Local Electricity Markets introduces the fundamental characteristics, needs, and constraints shaping the design and implementation of local electricity markets. It addresses… Read more
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Request a sales quoteLocal Electricity Markets introduces the fundamental characteristics, needs, and constraints shaping the design and implementation of local electricity markets. It addresses current proposed local market models and lessons from their limited practical implementation. The work discusses relevant decision and informatics tools considered important in the implementation of local electricity markets. It also includes a review on management and trading platforms, including commercially available tools. Aspects of local electricity market infrastructure are identified and discussed, including physical and software infrastructure. It discusses the current regulatory frameworks available for local electricity market development internationally. The work concludes with a discussion of barriers and opportunities for local electricity markets in the future.
- Delineates key components shaping the design and implementation of local electricity 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
Academics, researchers and students in the power and energy domain (in particular those working in the fields of electricity markets, smart grid and microgrid). Power and energy systems designers, planners, operators and consultants. Practicing engineers. Software developers (service providers). International organisations (e.g. International Energy Agency). Government scientists and analysts (developed and developing countries). Government policymakers (developed and developing countries). Distribution network utilities
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Introduction
- 1 Introduction
- I: Distributed energy resources as enablers of local electricity markets
- Chapter 1. New electricity markets. The challenges of variable renewable energy
- Abstract
- 1.1 Introduction
- 1.2 Physical characteristics of renewable generation
- 1.3 Enhance the VRE value: from the large European to small local electricity markets
- 1.4 The challenges of the current market designs for ~100% renewable power systems
- 1.5 The need for new market designs and trading models under ~100% renewable power systems
- 1.6 Final remarks
- Acknowledgment
- References
- Chapter 2. Integration of electric vehicles in local energy markets
- Abstract
- 2.1 Introduction
- 2.2 Electric vehicles
- 2.3 Demand response and electric vehicles flexibility
- 2.4 Electric vehicles in local energy markets
- 2.5 Conclusions
- References
- Chapter 3. From wholesale energy markets to local flexibility markets: structure, models and operation
- Abstract
- 3.1 Introduction
- 3.2 Wholesale markets: models and operation
- 3.3 Key European markets
- 3.4 Agent-based tools for energy markets
- 3.5 The energy transition and flexibility markets
- 3.6 Key flexibility market platforms
- 3.7 Conclusion
- Acknowledgment
- References
- Chapter 4. From the smart grid to the local electricity market
- Abstract
- 4.1 Introduction
- 4.2 Emergence and widespread of the smart grid
- 4.3 Technological and infrastructure developments
- 4.4 Transactive energy
- 4.5 The local electricity market concept
- 4.6 Conclusion
- References
- II: Local market models and opportunities
- Chapter 5. Local market models
- Abstract
- 5.1 Introduction
- 5.2 Local electricity trading
- 5.3 Simulation results
- Acknowledgments
- References
- Chapter 6. Peer-to-peer energy platforms
- Abstract
- 6.1 Introduction
- 6.2 Why do we need P2P?
- 6.3 How do we design a P2P platform?
- 6.4 What do P2P platforms look like—now and the future?
- 6.5 Concluding remarks
- References
- Chapter 7. Transmission system operator and distribution system operator interaction
- Abstract
- 7.1 Transmission system operator/distribution system operator cooperation
- 7.2 Cooperative market approaches
- 7.3 Information exchange needs
- 7.4 TSO/DSO coordination challenges
- References
- Chapter 8. Local electricity markets—practical implementations
- Abstract
- 8.1 Introduction
- 8.2 Search methodology
- 8.3 Local electricity market implementation
- 8.4 Discussion and future directions
- 8.5 Conclusion
- Acknowledgment
- References
- III: Enablers for local electricity markets
- Chapter 9. Local energy markets, commercially available tools
- Abstract
- 9.1 Local energy markets, commercially available tools
- 9.2 Enabling the local marketplace
- 9.3 Participant architecture
- 9.4 Community and end customer architecture
- 9.5 Conclusions
- References
- Chapter 10. Distributed energy resource management system
- Abstract
- 10.1 Energy management system in local energy market
- 10.2 Architecture and functionalities of EMS
- 10.3 EMS design and implementation
- 10.4 Case study 1: centralized EMS in a single microgrid
- 10.5 Case study 2: distributed EMS in a multimicrogrid network
- 10.6 Conclusion
- References
- Chapter 11. Modeling, simulation, and decision support
- Abstract
- 11.1 Introduction
- 11.2 Modeling approaches
- 11.3 Modeling electricity markets
- 11.4 Local electricity markets
- 11.5 Concluding remarks
- References
- Chapter 12. Blockchain as messaging infrastructure for smart grids
- Abstract
- 12.1 Introduction
- 12.2 Current, emerging, and blockchain-based communication protocols for smart grids
- 12.3 Use case: renewable energy community pilots in the Netherlands
- 12.4 Discussion
- 12.5 Conclusions and future work
- Acknowledgments
- References
- Chapter 13. Load profiling revisited: prosumer profiling for local energy markets
- Abstract
- 13.1 Introduction
- 13.2 Load profiling principles
- 13.3 Timing and amplitude aspects of the electricity usage patterns
- 13.4 Trends and opportunities for local energy systems and markets
- 13.5 Conclusions
- References
- Chapter 14. Forecasting
- Abstract
- 14.1 Introduction
- 14.2 Energy prediction: particularities
- 14.3 Energy prediction: methods
- 14.4 Experiments and results: country level
- 14.5 Forecasting: a glimpse into the future
- References
- Chapter 15. Mathematical models and optimization techniques to support local electricity markets
- Abstract
- 15.1 Introduction
- 15.2 Mathematical models for power flow and distributed energy resources
- 15.3 Mathematical programming models: mixed-integer linear, stochastic, and robust optimization
- 15.4 Metaheuristic and decomposition methods
- 15.5 Conclusion
- Acknowledgments
- References
- IV: Regulatory framework: Current trends and future perspectives
- Chapter 16. An economic analysis of market design: Local energy markets for energy and grid services
- Abstract
- 16.1 Introduction
- 16.2 DERs for energy and grid services
- 16.3 An economic framework for LEM grid services
- 16.4 Economics of LEMs in the US regulatory context
- 16.5 Conclusion
- References
- Chapter 17. South American Markets—regulatory framework: current trends and future prospects in South America
- Abstract
- 17.1 Introduction
- 17.2 Brazil
- 17.3 Chile
- 17.4 Colombia
- 17.5 South America countries comparison
- 17.6 Conclusion
- References
- Chapter 18. Electricity markets and local electricity markets in Europe
- Abstract
- 18.1 Introduction
- 18.2 Electricity markets in the European Union
- 18.3 Local electricity markets in the EU: challenges and benefits
- 18.4 Some examples of local electricity market pilots in Europe
- 18.5 Conclusion
- References
- Chapter 19. Local electricity markets: regulation, opportunities, and challenges in the United Kingdom
- Abstract
- 19.1 Introduction
- 19.2 Background on local electricity markets in the United Kingdom
- 19.3 Enablers of local energy market
- 19.4 Challenges for the deployment of LEM and future steps
- 19.5 Example of innovative local electricity markets in the United Kingdom
- 19.6 Conclusions
- References
- Chapter 20. Competition and restructuring of the South African electricity market
- Abstract
- 20.1 Introduction
- 20.2 Current energy situation in sub-Saharan African countries
- 20.3 Rolling blackouts in South Africa
- 20.4 Electricity Markets in Southern Africa
- 20.5 Electricity pricing
- 20.6 Local electricity markets
- 20.7 Restructuring of the South African power utility
- 20.8 Conclusions
- References
- Chapter 21. Asia electricity markets
- Abstract
- 21.1 China’s electricity market
- 21.2 Other Asian markets
- 21.3 Conclusion
- References
- Chapter 22. Current trends and perspectives in Australia
- Abstract
- 22.1 Introduction
- 22.2 Concluding comments
- References
- Conclusions and paths for future research and development
- Index
- Edition: 1
- Published: July 3, 2021
- Imprint: Academic Press
- No. of pages: 472
- Language: English
- Paperback ISBN: 9780128200742
- eBook ISBN: 9780128226667
TP
Tiago Pinto
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.
Affiliations and expertise
Lecturer, BISITE research group, University of Salamanca, SpainZV
Zita Vale
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.
Affiliations and expertise
Professor, School of Engineering (ISEP) of the Polytechnic of Porto (IPP) and Director, GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and DevelopmentsSW
Steve Widergren
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.
Affiliations and expertise
Principal Engineer, Pacific Northwest National Laboratory, USARead Local Electricity Markets on ScienceDirect