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A new approach for multi-agent coalition formation and management in the scope of electricity markets

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  • Pinto, T.
  • Morais, H.
  • Oliveira, P.
  • Vale, Z.
  • Praça, I.
  • Ramos, C.

Abstract

This paper presents a new methodology for the creation and management of coalitions in Electricity Markets. This approach is tested using the multi-agent market simulator MASCEM, taking advantage of its ability to provide the means to model and simulate VPP (Virtual Power Producers). VPPs are represented as coalitions of agents, with the capability of negotiating both in the market, and internally, with their members, in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself.

Suggested Citation

  • Pinto, T. & Morais, H. & Oliveira, P. & Vale, Z. & Praça, I. & Ramos, C., 2011. "A new approach for multi-agent coalition formation and management in the scope of electricity markets," Energy, Elsevier, vol. 36(8), pages 5004-5015.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:8:p:5004-5015
    DOI: 10.1016/j.energy.2011.05.045
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    1. Li, Hongyan & Tesfatsion, Leigh, 2009. "Development of Open Source Software for Power Market Research: The AMES Test Bed," ISU General Staff Papers 200901010800001391, Iowa State University, Department of Economics.
    2. Somani, Abhishek & Tesfatsion, Leigh, 2008. "An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures," ISU General Staff Papers 200801010800001392, Iowa State University, Department of Economics.
    3. Meeus, Leonardo & Purchala, Konrad & Belmans, Ronnie, 2005. "Development of the Internal Electricity Market in Europe," The Electricity Journal, Elsevier, vol. 18(6), pages 25-35, July.
    4. Nguyen, Hang T. & Nabney, Ian T., 2010. "Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models," Energy, Elsevier, vol. 35(9), pages 3674-3685.
    5. Wang, Jianhui & Zhou, Zhi & Botterud, Audun, 2011. "An evolutionary game approach to analyzing bidding strategies in electricity markets with elastic demand," Energy, Elsevier, vol. 36(5), pages 3459-3467.
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    Citations

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    Cited by:

    1. Tiago Pinto & Mohammad Ali Fotouhi Ghazvini & Joao Soares & Ricardo Faia & Juan Manuel Corchado & Rui Castro & Zita Vale, 2018. "Decision Support for Negotiations among Microgrids Using a Multiagent Architecture," Energies, MDPI, vol. 11(10), pages 1-20, September.
    2. Vinicius Braga Ferreira da Costa & Gabriel Nasser Doyle de Doile & Gustavo Troiano & Bruno Henriques Dias & Benedito Donizeti Bonatto & Tiago Soares & Walmir de Freitas Filho, 2022. "Electricity Markets in the Context of Distributed Energy Resources and Demand Response Programs: Main Developments and Challenges Based on a Systematic Literature Review," Energies, MDPI, vol. 15(20), pages 1-43, October.
    3. Kim, Seunghyok & Koo, Jamin & Lee, Chang Jun & Yoon, En Sup, 2012. "Optimization of Korean energy planning for sustainability considering uncertainties in learning rates and external factors," Energy, Elsevier, vol. 44(1), pages 126-134.
    4. Pinto, Tiago & Vale, Zita & Sousa, Tiago M. & Praça, Isabel, 2015. "Negotiation context analysis in electricity markets," Energy, Elsevier, vol. 85(C), pages 78-93.
    5. Vale, Zita & Morais, Hugo & Faria, Pedro & Ramos, Carlos, 2013. "Distribution system operation supported by contextual energy resource management based on intelligent SCADA," Renewable Energy, Elsevier, vol. 52(C), pages 143-153.
    6. Santos, Gabriel & Pinto, Tiago & Praça, Isabel & Vale, Zita, 2016. "MASCEM: Optimizing the performance of a multi-agent system," Energy, Elsevier, vol. 111(C), pages 513-524.
    7. Gabriel Santos & Tiago Pinto & Isabel Praça & Zita Vale, 2016. "An Interoperable Approach for Energy Systems Simulation: Electricity Market Participation Ontologies," Energies, MDPI, vol. 9(11), pages 1-22, October.
    8. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2016. "Agent-based modelling and simulation of smart electricity grids and markets – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 205-215.
    9. Acuña, Luceny Guzmán & Ríos, Diana Ramírez & Arboleda, Carlos Paternina & Ponzón, Esneyder González, 2018. "Cooperation model in the electricity energy market using bi-level optimization and Shapley value," Operations Research Perspectives, Elsevier, vol. 5(C), pages 161-168.
    10. Hugo Morais & Tiago Pinto & Zita Vale, 2020. "Adjacent Markets Influence Over Electricity Trading—Iberian Benchmark Study," Energies, MDPI, vol. 13(11), pages 1-22, June.

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