计及需求响应衔接和偏差考核前馈的混合型虚拟电厂现货交易决策研究OA

In light of the core issue of the sustainable and normalized operation of domestic virtual power plants(VPPs),this article explores the spot trading strategy for hybrid virtual power plants based on the operation and regulation of integrated distributed resources.First,it explains the necessity of participating in spot market transactions and of managing deviation assessment for a hybrid VPP to achieve long-term stable operation and expand its business model.It clarifies the spot trading process of a hybrid VPP across the day-ahead,real-time,and settlement stages in the spot electricity market,considering the linkage to demand response.And,based on the temporal transmission of quantity and price risks,it proposes an integrated decision-making framework that considers real-time operation and settlement costs in the day-ahead decision-making stage,with a focus on feeding the deviation assessment costs forward to the spot returns for collaborative optimization.Accordingly,a forward-looking collaborative optimization model for spot trading decisions in a hybrid VPP is developed.It mainly combines uncertain scenarios and conditional value at risk(CVaR)to quantify the global expected benefits and transaction risks of a hybrid VPP in the spot day-ahead decision-making stage,based on the returns from the spot electricity market and the demand response market,and real-time operation and control costs.Finally,the feasibility and effectiveness of the proposed model are verified through case analysis.The results show that the collaborative optimization of transaction decision-making,taking into account deviation assessment feedforward,offers global and forward-looking advantages for the hybrid VPP,increasing expected returns and reducing transaction risks.