基于旗鱼优化算法的电力系统动态经济调度方法研究  

Research on dynamic economic dispatch method of power system based on swordfish optimization algorithm

作　　者：李国全 李玲玲[2] LI Guoquan;LI Linging(Kailuan Energy Chemical Co.,Lid,Tangshan,063018,China;Hebei University of Technology,Tianjin,300401,China)

机构地区：[1]开滦能源化工股份有限公司,河北唐山063018 [2]河北工业大学,天津300401

出　　处：《华北科技学院学报》2023年第6期69-75,共7页Journal of North China Institute of Science and Technology

摘　　要：电力系统动态经济调度(DED)是一种复杂的多目标优化问题,旨在使发电机组的总燃料成本和污染排放最小化。然而,由于约束条件的复杂性,一般的数学方法难以解决这个问题。因此,本文采用了旗鱼优化算法(SFO)来解决考虑风电情况下的动态经济调度问题。为了验证SFO算法的性能,本文使用了5台火电机组的测试系统,并在MATLAB软件中对模型进行了仿真和测试。实验结果表明,SFO算法能够有效降低电力系统的燃料成本和污染排放,从而提高电力行业的经济效益。Dynamic economic dispatch(DED)of power system is a complex multi-objective optimization problem that aims to minimize the total fuel cost and pollution emissions of generating units.However,due to the complexity of the constraints,general mathematical methods are dfficult to solve this problem.Therefore,this paper adopts the swordfish optimization algorithm(SFO)to solve the dynamic economic dispatch problem considering wind power.In order to verify the performance of the SFO algorithm,this article uses the test system of 5 thermal power units,and simulates and tests the model in MATLAB software.Experimental results show that the SFO algorithm can effectively reduce the fuel cost and pollution emissions of the power system,thereby improving the economic benefits of the power industry.

关 键 词：电力经济调度 火电机组优化 多目标旗鱼优化算法 

分 类 号：TM73[电气工程—电力系统及自动化]