基于差分进化算法的电力市场策略性竞价模型求解  

Solution of Strategic Bidding Model in Electricity Markets Based on Differential Evolution Algorithm

作　　者：董亚明 Dong Yaming(Shang hai electric group cerctral academe,Shanghai 200070,China)

机构地区：[1]上海电气集团股份有限公司中央研究院,上海200070

出　　处：《华东交通大学学报》2020年第5期127-133,共7页Journal of East China Jiaotong University

摘　　要：针对电力市场中的策略性竞价问题,使用差分进化算法(differential evolution algorithm,DE)进行模型求解。将该方法应用于美国PJM电力市场的报价问题,结果表明,相较于边际成本法、序列最小二乘规划法、粒子群优化算法等方法,DE算法具有稳定性好,运行时间短,报价利润高等优势,能够满足PJM电力市场策略性竞价问题的求解要求。For the strategic bidding problem in electricity market,differential evolution algorithm(DE)was used to solve the model.This method was applied to the biding problem of PJM electricity market in the United States.The results show that,compared with the marginal cost method(MC),the sequence least squares programming method(SLSQP)and the particle swarm optimization algorithm(PSO),the DE algorithm has advantages of good algorithm stability,short running time and high profit.This result can meet the solution requirements of strategic bidding problem in the PJM electricity market.

关 键 词：策略性竞价 PJM电力市场 差分进化算法 报价问题 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]