Research on Optimal Bidding Strategies for Load Aggregators Considering Multiple Risks

The objective of this paper is to delve into the optimization of bidding strategies for load aggregators in the face of multiple risks. Initially, the study establishes resource aggregation models and subsequently analyzes the sources of revenue and cost for load aggregators when they participate in day-ahead main energy market bidding, thereby deriving the net profit value for these entities. Following this, the paper takes into account the relevant operational constraints associated with distributed photovoltaics, distributed wind power, adjustable load aggregation bodies, and energy storage devices. Considering the net profit of load aggregators in the day-ahead main energy market is susceptible to various uncertain factors, the paper proposes a Worst-Case Conditional Value at Risk (WCVaR) model that incorporates multiple risks. Ultimately, a case study analysis is performed to ascertain the bidding strategies for load aggregators in the day-ahead main energy market under diverse scenarios. Additionally, the WCVaR model, developed under conditions of multiple risks, is subjected to a sensitivity analysis to validate its feasibility and effectiveness as a decision-making tool.