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The Tripartite Game Model for Electricity Pricing in Consideration of the Power Quality

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  • Tianlei Zang

    (National Rail Transit Electrification and Automation Engineering Technology Research Center, School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
    State Key Laboratory of Security Control and Simulation of Power Systems and Large Scale Generation Equipment, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)

  • Yueping Xiang

    (National Rail Transit Electrification and Automation Engineering Technology Research Center, School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Jianwei Yang

    (National Rail Transit Electrification and Automation Engineering Technology Research Center, School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

Under the Energy Internet concept the distribution and management of resources in the electricity market have been gradually transiting from a centralized pattern to a decentralized pattern. Correspondingly, the methodological model for the analysis of economic behaviors needs to be upgraded too. Based on the idea of non-cooperative game theory, this paper puts forward a tripartite game model for electricity pricing in consideration of the power quality, which is applicable to the electricity market under the Energy Internet with distributed generation, including the State Grid Corporation of China (SGCC), generating companies (GENCOs) and the marketers which correspond to the regional power-retailing companies. Then, the sequential quadratic programming based on the quasi-Newton method is given to solve the game model. Finally, four sets of tests with different game factors are carried out to verify the validity and feasibility of the proposed model and algorithm. The SGCC price, the cost and the number of GENCOs and the cross-regional environment are considered in each test, respectively. The results show that this model can adapt well to the various conditions.

Suggested Citation

  • Tianlei Zang & Yueping Xiang & Jianwei Yang, 2017. "The Tripartite Game Model for Electricity Pricing in Consideration of the Power Quality," Energies, MDPI, vol. 10(12), pages 1-27, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2025-:d:121251
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    References listed on IDEAS

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    1. Söderberg, Magnus, 2008. "A choice modelling analysis on the similarity between distribution utilities' and industrial customers' price and quality preferences," Energy Economics, Elsevier, vol. 30(3), pages 1246-1262, May.
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    Cited by:

    1. Jun Liu & Jinchun Chen & Chao Wang & Zhang Chen & Xinglei Liu, 2020. "Market Trading Model of Urban Energy Internet Based on Tripartite Game Theory," Energies, MDPI, vol. 13(7), pages 1-24, April.
    2. Yuanqian Ma & Xianyong Xiao & Ying Wang, 2018. "Investment Strategy and Multi–Objective Optimization Scheme for Premium Power under the Background of the Opening of Electric Retail Side," Energies, MDPI, vol. 11(8), pages 1-25, August.

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