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Multi-Party Energy Management for Clusters of Roof Leased PV Prosumers: A Game Theoretical Approach

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  • Nian Liu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing 102206, China)

  • Cheng Wang

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing 102206, China)

  • Xinhao Lin

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing 102206, China)

  • Jinyong Lei

    (Electrical Power Research Institute, China Southern Power Grid (CSG), Guangzhou 510080, China)

Abstract

The roof-leased business mode is an important development method for the distributed photovoltaic (PV) systems. In this paper, the benefits of the PV energy are considered in a PV cluster (PVC) consisting of a certain number of prosumers and a PVC operator (PVCO). In order to distribute the benefits, a multi-party energy management method for the PVC is proposed, including an internal pricing model and a demand response (DR) model. First, the dynamic internal pricing model for the trading between PVCO and prosumers is formulated according to the economic principle of demand and supply relation. Moreover, in order to improve the local consumption of PV energy, the DR model is formulated as a non-cooperative game among the prosumers. Meanwhile, the existence and uniqueness of the Nash Equilibrium (NE) are proved, and a distributed solving algorithm is introduced to approach the NE solution. Finally, the PVC including four prosumers is selected as the study object, the results have shown that the internal pricing model and DR model can improve the benefit of both prosumers and PVCO, as well as the local consumption of PV energy.

Suggested Citation

  • Nian Liu & Cheng Wang & Xinhao Lin & Jinyong Lei, 2016. "Multi-Party Energy Management for Clusters of Roof Leased PV Prosumers: A Game Theoretical Approach," Energies, MDPI, vol. 9(7), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:536-:d:73816
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    Cited by:

    1. Kai Ma & Shubing Hu & Jie Yang & Chunxia Dou & Josep M. Guerrero, 2017. "Energy Trading and Pricing in Microgrids with Uncertain Energy Supply: A Three-Stage Hierarchical Game Approach," Energies, MDPI, vol. 10(5), pages 1-16, May.
    2. Federica Cucchiella & Idiano D’Adamo & Massimo Gastaldi, 2017. "Economic Analysis of a Photovoltaic System: A Resource for Residential Households," Energies, MDPI, vol. 10(6), pages 1-15, June.

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