摘要
针对电力系统运行的安全经济、绿色环保问题,文中以含火电、风电、光伏、储能的电力系统为研究对象,构建了多目标调度运行优化模型。该模型以总运行成本最小的经济性目标与排放量最小的环保性目标为优化目标,采用结合非支配排序算法(NS)、差分进化算法(DE)对多个目标同时进行优化,通过模糊隶属度函数选取具有最大满意度的Pareto解作为最优折衷解。为了验证其有效性,以IEEE30节点模型进行仿真。测试结果表明,通过所提模型获取的调度运行方案可以有效降低系统总运行成本与污染物排放量,较好地兼顾了系统运行的经济性和环保性。
Ming at the safety,economy and environmental protection of power system operation,this paper takes the power system including thermal power,wind power,photovoltaic and energy storage as the research object,and constructs a multi-objective dispatching operation optimization model.The proposed model takes the economic objective with the minimum total operating cost and the environmental protection objective with the minimum pollutant emission as the optimization objective,uses the solution algorithm combining the non-dominated sorting algorithm(NS)and the differential evolution algorithm(DE)to optimize multiple objectives at the same time,and selects the Pareto solution with the maximum satisfaction as the optimal compromise solution through the fuzzy membership function.The simulation results of IEEE30 node model show that the scheduling scheme obtained by the proposed model can reduce the total operation cost and pollutant emissions of the system,and give good consideration to the economy and environmental protection of the system operation.
作者
刘路登
陈天宇
张炜
王海港
李玉龙
LIU Lu-deng;CHEN Tian-yu;ZHANG Wei;WANG Hai-gang;LI Yu-long(State Grid Anhui Electric Power Co.,Ltd.,Hefei 230022,China)
出处
《电子设计工程》
2020年第19期184-188,共5页
Electronic Design Engineering
基金
国网安徽省电力有限公司科技项目(52120019007X)。
关键词
电力多目标调度
差分进化算法
经济性
环保性
wer multi-objective dispatching
differential evolution algorithm
economy
environmental protection
