摘要
针对电网新能源承载能力分析中需要考虑潮流约束的问题,文中建立了新能源承载能力分析优化模型。考虑到电网的潮流约束,提出了一种改进的粒子群优化算法,通过引入修正因子,对不满足约束条件的解进行修正。仿真结果表明,文中算法能够在满足潮流约束的前提下,有效算出电网的新能源最大可接入容量。与现有算法相比,文中算法可将新能源承载能力提高7.3%,同时将迭代次数降低43.9%,具有优化效果好、迭代次数少的优势。
The paper presents a model for optimizing the renewable energy hosting capacity analysis.With the constraints of power flow in view, an improved particle swarm optimization algorithm is proposed, in which a correcting factor is introduced to correct the particles which do not meet the constraints.Numerical results show that by the proposed algorithm, the highest access capacity of renewable energy can be calculated effectively with the constraints of power flow fitted.The proposed algorithm can increase the renewable energy hosting capacity by 7.3% and reduce the iteration by 43.9%.It is concluded that the proposed algorithm is effective and of fewer iterations.
作者
储国良
邵竹星
孙文兵
任泰安
吴磊
CHU Guoliang;SHAO Zhuxing;SUN Wenbing;REN Taian;WU Lei(Anqing Power Supply Company,State Grid Anhui Electric Power Co.,Ltd.,Anqing 246003,China;Engineering Quality Education Center of Graduate School,Hefei University of Technology,Hefei 230009,China)
出处
《西安工业大学学报》
CAS
2022年第5期513-519,526,共8页
Journal of Xi’an Technological University
基金
中央高校基本科研业务费专项资金(JZ2021HGTA0157,JZ2020HGQA0174)
电力传输与功率变换控制教育部重点实验室开放课题(2020AC03)
安徽省工业节电与用电安全重点实验室开放课题(KFKT201905)。
关键词
新能源
承载能力
潮流约束
粒子群算法
renewable energy
hosting capacity
constraints of power flow
particle swarm optimization algorithm
