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Design and Analysis of Electrical Distribution Networks and Balancing Markets in the UK: A New Framework with Applications

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  • Vijayanarasimha Hindupur Pakka

    (Institute of Energy & Sustainable Development, Faculty of Technology, De Montfort University, The Gateway, Leicester LE1 9BH, UK)

  • Richard Mark Rylatt

    (Institute of Energy & Sustainable Development, Faculty of Technology, De Montfort University, The Gateway, Leicester LE1 9BH, UK)

Abstract

We present a framework for the design and simulation of electrical distribution systems and short term electricity markets specific to the UK. The modelling comprises packages relating to the technical and economic features of the electrical grid. The first package models the medium/low distribution networks with elements such as transformers, voltage regulators, distributed generators, composite loads, distribution lines and cables. This model forms the basis for elementary analysis such as load flow and short circuit calculations and also enables the investigation of effects of integrating distributed resources, voltage regulation, resource scheduling and the like. The second part of the modelling exercise relates to the UK short term electricity market with specific features such as balancing mechanism and bid-offer strategies. The framework is used for investigating methods of voltage regulation using multiple control technologies, to demonstrate the effects of high penetration of wind power on balancing prices and finally use these prices towards achieving demand response through aggregated prosumers.

Suggested Citation

  • Vijayanarasimha Hindupur Pakka & Richard Mark Rylatt, 2016. "Design and Analysis of Electrical Distribution Networks and Balancing Markets in the UK: A New Framework with Applications," Energies, MDPI, vol. 9(2), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:2:p:101-:d:63729
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    1. Junjie Sun & Leigh Tesfatsion, 2007. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 291-327, October.
    2. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    3. Klessmann, Corinna & Nabe, Christian & Burges, Karsten, 2008. "Pros and cons of exposing renewables to electricity market risks--A comparison of the market integration approaches in Germany, Spain, and the UK," Energy Policy, Elsevier, vol. 36(10), pages 3646-3661, October.
    4. Hiroux, C. & Saguan, M., 2010. "Large-scale wind power in European electricity markets: Time for revisiting support schemes and market designs?," Energy Policy, Elsevier, vol. 38(7), pages 3135-3145, July.
    5. Leombruni, Roberto & Richiardi, Matteo, 2005. "Why are economists sceptical about agent-based simulations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 103-109.
    6. Hogan, William W, 1992. "Contract Networks for Electric Power Transmission," Journal of Regulatory Economics, Springer, vol. 4(3), pages 211-242, September.
    7. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    8. Bower, John & Bunn, Derek, 2001. "Experimental analysis of the efficiency of uniform-price versus discriminatory auctions in the England and Wales electricity market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 561-592, March.
    9. Tesfatsion, Leigh, 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," ISU General Staff Papers 200201010800001251, Iowa State University, Department of Economics.
    10. Farahmand, H. & Doorman, G.L., 2012. "Balancing market integration in the Northern European continent," Applied Energy, Elsevier, vol. 96(C), pages 316-326.
    11. Thorin, Eva & Brand, Heike & Weber, Christoph, 2005. "Long-term optimization of cogeneration systems in a competitive market environment," Applied Energy, Elsevier, vol. 81(2), pages 152-169, June.
    12. Henri L.F. de Groot & Peter Mulder & Daan P. van Soest, 2004. "Subsidizing the Adoption of Energy-Saving Technologies: Analyzing the Impact of Uncertainty, Learning and Maturation," Tinbergen Institute Discussion Papers 03-019/3, Tinbergen Institute.
    13. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
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    3. Chong Chen & Xuan Zhou & Xiaowei Yang & Zhiheng He & Zhuo Li & Zhengtian Li & Xiangning Lin & Ting Wen & Yixin Zhuo & Ning Tong, 2018. "Collaborative Optimal Pricing and Day-Ahead and Intra-Day Integrative Dispatch of the Active Distribution Network with Multi-Type Active Loads," Energies, MDPI, vol. 11(4), pages 1-22, April.

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