Demand response trading model of virtual power plant considering electricity consumption satisfaction degree and response quantity expectation

The participation of virtual power plant（VPP） in demand response can improve the regulation capacity of the power grid，but the decrease of user electricity consumption satisfaction degree and the uncertainty of user response quantity will lead to the failure of VPP to obtain expected benefits and the failure of power grid to obtain sufficient demand response. Therefore，a demand response trading model of VPP considering user electricity consumption satisfaction degree and response quantity expectation is proposed. The internal flexible loads of VPP are subdivided into three categories：curtailable loads，transferable loads and substitutable loads. According to the electricity consumption modes，influencing factors and service modes of participation in demand response for different flexible load users，the subdivision electricity consumption satisfaction degree models of three types of flexible load users are constructed respectively. The uncertain sources of demand response service provided by three types of flexible load users are analyzed，and the response quantity expectation models of three types of flexible load users participating in demand response are established respectively. Based on the electricity consumption satisfaction degree model and response quantity expectation model，the demand response trading model is constructed under the VPP demand response trading mode dominated by power grid companies. The effectiveness of the proposed model is verified by an example simulation. © 2023 Electric Power Automation Equipment Press. All rights reserved.