考虑分时电价的风光储联合“削峰”优化调度模型  

OPTIMAL DISPATCHING MODEL OF WIND-SUNLIGHT-STORAGE COMBINING WITH“PEAK SHAVING”CONSIDERING TIME-OF-USE ELECTRICITY PRICE

作　　者：杨晓萍[1] 刘浩杰[1] 黄强[1] Yang Xiaoping;Liu Haojie;Huang Qiang(Institute of Water Resources and Hydro-Electric Engineering, Xi＇an University of Technology Power Engineering, Xi＇an 710048, China)

机构地区：[1]西安理工大学水利水电学院

出　　处：《太阳能学报》2018年第6期1752-1760,共9页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(50779053)

摘　　要：针对大规模风电和光伏发电并网对电网调度所带来的不利影响,结合大型钠硫电池储能系统,综合考虑峰谷分时电价政策和提高水火电机组运行效率等各方面因素,提出一种风光储联合＂削峰＂的优化调度新模式。为提高清洁能源上网带来的总体收益和实现水火电机组经济平稳运行,构建风光储联合＂削峰＂和水火电机组经济平稳出力2种调度模型。采用多目标粒子群算法求解所建模型。通过算例分析和验证所建模型的可行性和钠硫电池储能系统在提高清洁能源消纳和水火电机组运行效率方面的有效性。In view of the negative impact of large-scale wind power and photovoltaic power generation on griddispatching, combining with large-scale sodium-sulfur battery energy storage system, taking into accountcomprehensively the various factors such as the peak-valley and time of use electricity price policy,and improving theoperation efficiency of hydropower units and thermal power units,a new optimal dispatching model of wind-sunlightstorage combining with ＂peak shaving＂ was put forward. In order to increase the overall benefits of clean energy access tothe grid and achieve smooth economic operation of hydro power-thermal power plants,two kinds of dispatching modelswere constructed：wind-sunlight-storage combining with ＂peak shaving＂ and stable economic output of hydropower unitand thermal power unit. Multi-objective particle swarm optimization（PSO）was used to solve the model. The exampleswere used to analyze and verify the feasibility of the proposed model and the effectiveness of the sodium-sulfur batteryenergy storage system in improving clean energy consumption and operation efficiency of hydropower unit and thermalpower unit.

关 键 词：优化调度模型 多目标粒子群算法 风力、光伏发电 峰谷分时电价 钠硫电池储能系统 

分 类 号：TK743[动力工程及工程热物理—流体机械及工程]