Regional Autonomy Strategy of Multi‐Virtual Power Plant Considering Waste Incineration and Cloud Energy Storage Operator: A Low‐Carbon Mixed Game Method

ABSTRACT Under the background of the low‐carbon strategy and power market reform, multiple virtual power plants (MVPP) will coexist in the distribution network in the future. In order to improve the energy utilisation rate and the autonomy of virtual power plant (VPP) under the high proportion of renewable energy sources, and solve the conflict of interest and information asymmetry among MVPP, a mixed game dual‐layer energy optimisation operation strategy between the distribution network and MVPP with the consideration of environmental benefits under the background of cloud energy storage operator (CSO) is proposed. First, a Stackelberg game dual‐layer energy trading model is constructed to maximise the benefits of the upper layer and minimise the cost of the lower layer. Second, a cooperative game among members of the VPP is introduced to enable peer‐to‐peer trading among MVPP, and a mixed game optimisation model is established. The joint operation of the waste incineration power plant and carbon capture system is introduced into the VPP, which takes into account the economy and low carbon of the system. Then, according to the characteristics of the model, the Stackelberg model is solved by using the genetic algorithm combined with CPLEX, and the cooperative model is solved by using the alternating direction method of multipliers. The dual‐layer models interact with each other, and the balanced optimal operation strategy of the CSO, MVPP and mixed game model within the MVPP is obtained. Finally, the feasibility and effectiveness of the strategy are verified by simulation examples. The low‐carbon mixed game strategy proposed in this paper effectively improves the interest of CSO and MVPP, protects the data privacy of members and improves the autonomy of VPP.