采用改进隶属度函数的梯级水电站多目标优化调度模型.pdfVIP

第35 卷 第2 期 电 网 技 术 Vol. 35 No. 2 2011 年2 月 Power System Technology Feb. 2011 文章编号：1000-3673 （2011 ）02-0048-05 中图分类号：TM 734 文献标志码：A 学科代码：470·4051 采用改进隶属度函数的 梯级水电站多目标优化调度模型 吴杰康，祝宇楠，韦善革 （广西大学电气工程学院，广西壮族自治区 南宁市 530004 ） Multi-Objective Optimal Scheduling for Cascaded Hydroelectric Power Plant Based on Improved Membership Functions WU Jiekang, ZHU Yunan, WEI Shange (Department of Electrical Engineering, Guangxi University, Nanning 530004, Guangxi Zhuang Autonomous Region, China) ABSTRACT: It is demanded for multi-objective optimal 问题的模糊算法普遍采用半升或半降直线型隶属度函数，文 dispatching for cascaded hydropower stations to ensure as high 中以定义域上连续可微的Sigmoid 函数及反Sigmoid 函数作 electric energy production as possible and to reduce water 为新的隶属度函数，确定了Sigmoid 隶属度函数各参数的计 consumption and water to be abandoned to improve 算方法。改进隶属度函数的应用要求目标函数可导的非线性 waterpower utilization. For this reason, an optimized fuzzy 规划法更加适于求解该多目标模型。算例结果验证了该模型 multi-objective dispatching model adopting improved 的可行性。 membership function is proposed, in which the maximum gross 关键词：梯级水电站；多目标优化调度；模糊算法；改进隶 power generation, the maximum total abandoned water and the 属度函数 maximum water storage at the end of the dispatching period are taken as objective functions, for cascaded hydropower stations. 0 引言 In the solution of multi-objective problem by traditional fuzzy 梯级水电站的发电优化调度是指合理优化各 algorithms, the increasing or decreasing linear membership functions are commonl