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Joint Scheduling Optimization of Virtual Power Plants and Equitable Profit Distribution Using Shapely Value Theory

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  • Zhong-fu Tan
  • Huan-huan Li
  • Li-wei Ju
  • Qing-kun Tan

Abstract

The installation capacity of wind and solar photovoltaic power is continually increasing, which makes renewable energy grid connection and power generation an important link of China’s power structure optimization. A virtual power plant (VPP) is an important way to help distributed energy resource grid connection and promote renewable energy industry development. To study the economic scheduling problem of various distributed energy resources and the profit distribution problem of VPP alliance, this study builds a separate operation scheduling model for individual VPP and a joint operation scheduling model for VPP alliance, as well as the profit distribution model. The case study verifies the feasibility and effectiveness of the proposed model. The sensitivity analysis provides information about VPP decision-making in accordance with the policy environment development trend.

Suggested Citation

  • Zhong-fu Tan & Huan-huan Li & Li-wei Ju & Qing-kun Tan, 2018. "Joint Scheduling Optimization of Virtual Power Plants and Equitable Profit Distribution Using Shapely Value Theory," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-13, February.
    • Handle: RePEc:hin:jnlmpe:3810492
    DOI: 10.1155/2018/3810492
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