Energies (May 2023)

A Power Evolution Game Model and Its Application Contained in Virtual Power Plants

  • Jinghong Zhou,
  • Ke Chen,
  • Weidong Wang

DOI
https://doi.org/10.3390/en16114373
Journal volume & issue
Vol. 16, no. 11
p. 4373

Abstract

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Demand response is an effective way to alleviate the pressure on power systems and improve energy utilisation efficiency. This study constructs a tripartite evolutionary game model on government, power companies and virtual power plants (VPPs), and analyses the dynamic behavioural selection mechanism of the three parties under demand-response mode. The results show that: (1) government guidance and management are effective means to promote the stability and equilibrium of the power system; (2) an increase in government subsidy, a reduction in the demand-response cost and an increase in opportunity cost will increase the enthusiasm for changes in demand-response behaviour in power companies; (3) government subsidies will improve the demand-response behaviour of VPPs. This study effectively provides theoretical support for the demand response of power systems, and realises the goal of power energy saving through the optimal choice of behaviour strategies for all parties in the power system.

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