电网技术2011，Vol.35Issue(2)：48-52,5.
采用改进隶属度函数的梯级水电站多目标优化调度模型
Multi-Objective Optimal Scheduling for Cascaded Hydroelectric Power Plant Based on Improved Membership Functions
摘要
Abstract
It is demanded for multi-objective optimal dispatching for cascaded hydropower stations to ensure as high electric energy production as possible and to reduce water consumption and water to be abandoned to improve waterpower utilization. For this reason, an optimized fuzzy multi-objective dispatching model adopting improved membership function is proposed, in which the maximum gross power generation, the maximum total abandoned water and the maximum water storage at the end of the dispatching period are taken as objective functions, for cascaded hydropower stations.In the solution of multi-objective problem by traditional fuzzy algorithms, the increasing or decreasing linear membership functions are commonly used. In this paper, the continuously differentiable Sigmoid function and inverse Sigmoid function are taken as new membership functions, then a method to calculate parameters of Sigmoid membership functions is determined. Because of applying improved membership functions, those nonlinear programming methods are suitable to solve this multi-objective dispatching model. The feasibility of the proposed model is verified by results of calculation example.关键词
梯级水电站/多目标优化调度/模糊算法/改进隶属度函数Key words
cascaded plant/ multi-objective optimal dispatching/ fuzzy algorithm/ improved membership function分类
信息技术与安全科学引用本文复制引用
吴杰康,祝宇楠,韦善革..采用改进隶属度函数的梯级水电站多目标优化调度模型[J].电网技术,2011,35(2):48-52,5.基金项目
国家自然科学基金项目(50767001) （50767001）
高等学校博士学科点专项科研基金资助项目(20094501110002). （20094501110002）
