PSO/GA融合算法的风力和光伏发电与储能配置方法  

Wind power and photovoltaic power generation and energy storage configuration method of PSO/GA fusion algorithm

作　　者：田世骥 康德 TIAN Shiji;KANG De(China Railway Electrification Bureau Design and Research Institute,Beijing 100166,China)

机构地区：[1]中铁电气化局设计研究院,北京100166

出　　处：《粘接》2025年第3期138-141,共4页Adhesion

摘　　要：铁路是电能消耗的重点行业。我国“双碳”目标的提出,为铁路行业推进其自身能源结构调整,尤其是风光能储等新能源技术的引入提出了现实需求。风光能储系统在铁路电力供电系统中的设置方案是急待解决的问题。受风光能储系统设置方案的决定,系统在全生命周期内的成本也成为制约该系统在铁路中推广应用的关键因素之一。本文从成本角度出发,以潮流计算为基础,运用粒子群及遗传算法,以Matlab软件中IEEE9节点系统为工具,研究了铁路电力供电系统中风光能储系统接入位置、容量配置、运行策略的配置方法。Railways are a key sector for electricity consumption.The proposal of China's"dual carbon"goal has put forward a realistic demand for the railway industry to promote its own energy structure adjustment,especially the introduction of new energy technologies such as wind,solar,energy and storage.The installation scheme of wind and solar energy storage system in railway power supply system is an urgent problem to be solved.Due to the decision of the setting scheme of the wind and solar energy storage system,the cost of the system in the whole life cycle has also become one of the key factors restricting the promotion and application of the system in the railway.From the perspective of cost,based on power flow calculation,particle swarm and genetic algorithm were used,and taking the IEEE9 node system in Matlab software as a tool,this paper studied the configuration methods of wind and solar energy storage system access location,capacity configuration and operation strategy in railway power supply system.

关 键 词：铁路电力 风光能储装置 遗传算法 粒子群算法 

分 类 号：TM615.2[电气工程—电力系统及自动化] TP391[自动化与计算机技术—计算机应用技术]