基于多变异集成差分进化的电力经济调度方法  

Electric Power Economic Dispatch Method Based on Multi Mutation Ensemble Differential Evolution

作　　者：徐胜 郭萌 吴杨 周贤 张旭 XU Sheng;GUO Meng;WU Yang;ZHOU Xian;ZHANG Xu(Guizhou Electric Power Grid Dispatching and Control Center,Guiyang 550002 China)

机构地区：[1]贵州电网有限责任公司电力调度控制中心,贵州贵阳550002

出　　处：《自动化技术与应用》2024年第12期8-11,54,共5页Techniques of Automation and Applications

基　　金：国家自然科学基金资助项目(52167007);贵州省科技计划项目(黔科合基础-ZK[2022]一般121)。

摘　　要：经济调度是实现电力系统高效优质运行的基础。随着用电负荷的不断增加,电力系统规模不断扩大,特别是考虑发电机阀点效应和多燃料选择后,经济调度问题呈现出优化变量多、模型高度非线性的态势,求解极具挑战性。对此,提出一种多变异策略集成差分进化算法EMMSDE,设计了多变异策略集成和控制参数自适应策略,克服了基本差分进化算法变异策略单一和控制参数固定引致的收敛速度慢、求解精度低的缺点。在4个不同规模案例上进行了研究,结果表明EMMSDE可以给出更好的调度方案,在解集质量、收敛性和鲁棒性等方面均表现出了良好的优越性。Economic dispatch is the basis for efficient and high quality operation of power systems.With the increasing electric load,the scale of power system gradually expands,the economic dispatch problem presents a situation with many optimization variables and a highly nonlinear model,which is extremely challenging to solve,especially after considering the valve point effect and multi-fuel selection of generators.To solve the problem effectively,an ensemble of multiple mutation strategies of differential evolution named EMMSDE is proposed.EMMSDE adopts multiple mutation strategies ensemble and control parameters adaptive strategy to overcome the disadvantages of slow convergence and low solution accuracy caused by the single mutation strategy and fixed control parameters of the basic differential evolution.Simulation results of four cases of different scales show that EMMSDE can obtain better dispatch schemes.It gets good performance in terms of solution quality,convergence and robustness.

关 键 词：大规模电力系统 经济调度 阀点效应 多燃料选择 差分进化 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]