流域梯级水电优化调度模型与方法研究综述  

Review on Optimization Scheduling Model and Method of Cascaded Hydropower Stations

作　　者：刘方[1] 张粒子[1] LIU Fang ZHANG Lizi(School of Electrical and Electronic Engineering, North China Electric Power University Beijing 102206, China)

机构地区：[1]华北电力大学电气与电子工程学院,北京102206

出　　处：《华北电力大学学报（自然科学版）》2017年第5期81-90,共10页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家自然科学基金资助项目(51277071)

摘　　要：我国大水电集中投产,形成大型流域梯级水电站群,使得如何做好梯级水电站群的调度运行工作,实现大范围资源优化配置显得尤为重要。阐述了我国水电发展现状;根据梯级水电在不同时间尺度下的运行特征和任务需求,对中长期/短期调度、日前调度和实时调度的目标函数与约束条件进行总结。优化算法方面,探讨了优化调度模型降维方法,重点分析了动态规划算法、遗传算法、粒子群算法的并行特征,并介绍了并行计算技术的实际应用。最后,针对未来梯级水电参与电力市场面临的问题及后续研究方向给予展望。Because of the centralized putting in operation of large hydropower,large-scale groups of cascade hydropower stations have formed in China. The issues that how to schedule cascade hydropower station efficiently and how to achieve a wide range of optimization and allocation of resources become increasingly important. In this paper analyzes the current development situation of China＇s hydropower. According to the operation characteristics and requirements of cascaded hydropower at different time scales,the paper summarizes the objective functions and constraint conditions in long and short schedule,day-ahead schedule and real-time schedule. As for optimization algorithm,the dimension reduction method of optimal scheduling model is discussed,and the parallel features of dynamic programming algorithm,genetic algorithm and particle swarm algorithm are analyzed. Besides,this paper also introduces the application of parallel computing technology. Finally,the problems that may occur for cascaded hydropower participating in power market and the further research are proposed.

关 键 词：梯级水电站 优化调度 优化方法 并行计算 电力市场 

分 类 号：TM721[电气工程—电力系统及自动化]