现代电力2024，Vol.41Issue(1)：47-54,8.DOI:10.19725/j.cnki.1007-2322.2022.0179
考虑基荷的联合电力系统多目标分层优化调度
Multi-objective Hierarchical Optimal Scheduling of Combined Power Systems Considering Base Loads
摘要
Abstract
To overcome the disadvantages of wind power on dispatching such as the randomness and intermittentness,and exert the flexible adjustment ability of high-proportion hydro-power.The optimization goal is set to promote full consump-tion of wind power,lowest operating cost of thermal power and minimum output fluctuation,then a multi-objective optimal dis-patch model for wind-hydro-thermal power systems is estab-lished to evaluate the results of dispatch.We considered a vari-ety of scenarios such as start-stop and low-load operation of thermal power generator and whether wind power has aban-doned wind,some quantitative indicators such as hydropower utilization rate and thermal power fluctuations are proposed.And hierarchical optimization strategy is designed to ensure the efficiency in solving model,first layer optimizes output of hy-dropower generators,ensures minimum total fluctuation of thermal power,and promotes full use of hydropower adjust-ment ability,second layer optimizes output of each thermal power generator to make the system operation cost the lowest,and uses particle swarm optimization(PSO)algorithm to solve each layer optimization problem.Through experimental test,the scheduling results before and after optimization,the scheduling results considering the start-stop of power unit,and the scheduling results under different wind power installed ca-pacity are compared,and the effectiveness of the proposed model and hierarchical optimization strategy is verified.关键词
风力发电/水力发电/多目标优化/经济调度/粒子群算法Key words
windpower/hydropower/multi-target optimiz-ation/economic scheduling/particle swarm algorithm分类
信息技术与安全科学引用本文复制引用
赵宁波,王开艳,李沛航,吕挺,贾宏涛,王争冕..考虑基荷的联合电力系统多目标分层优化调度[J].现代电力,2024,41(1):47-54,8.基金项目
陕西省自然科学基础研究计划项目(2022JM-208). Project Supported by Natural Science Basic Research Project of Shaanxi Province(2022JM-208). （2022JM-208）
