含高比例新能源电力市场的不平衡资金优化OA

With the increasing proportion of renewable energy in Ningxia's power system,the electricity market faces growing challenges,particularly the accumulation of imbalance funds.This study focuses on the impact of imbalance funds on stable market operation and develops an improved settlement system based on multi-objective optimization.Data analysis identifies the primary sources of imbalance funds in Ningxia's electricity market,including deviations between generation and consumption plans,forecast errors of renewable energy output,and imperfections in the market-clearing mechanism.To address these issues,a settlement optimization model is developed,integrating renewable energy volatility and power generation plan execution discrepancies,and establishing a multi-constraint optimization framework centered on minimizing imbalance funds.This framework considers system power balance,nodal voltage limits,and gen-eration plan deviations as multidimensional constraints.Empirical analysis of short-term and medium-to-long-term trading data validates the effectiveness of the proposed approach.Results show that the optimized settlement mechanism can effectively reduce the accumulation of imbalance funds,significantly improve market operational efficiency and trading fairness,and provide a practical technical approach for promoting the healthy and sustainable development of Ningxia's electricity market.