摘要
极地环境复杂多样,常年低温且伴有极夜现象。为了合理配置极地环境微电网系统容量,提高极地环境微电网系统的供电可靠性,文中以中国南极科考站——中山站为研究对象,根据极地环境特性,提出利用富余风电制氢,并配置蓄电池储能装置的风氢储微电网容量优化配置模型。综合考虑极地低温对风机出力、蓄电池容量以及电力负荷的实时影响,以年度平均成本最小为目标,全年负载缺电率为约束,对极地环境下微电网供电系统的容量进行优化配置。算例仿真结果表明,风氢储系统不仅可以提高系统经济性和供电可靠性,还能有效减少能源浪费。
The polar environment is complex and diverse,with low temperature all year round and accompanied by polar night conditions.In order to rationally configure the capacity of the polar environment microgrid system,and improve the reliability of it,so China′s Antarctic Scientific Research Station-Zhongshan station is regarded as the research object.According to the characteristics of the polar environment,a wind-hydrogen-storage microgrid capacity optimization model is proposed,that uses surplus wind power to produce hydrogen and is equipped with battery energy storage devices.Considering the real-time impact of low temperature on wind turbine output,battery capacity and electrical load,taking the minimum annual cost of systems as the goal,the loss of power supply probability as the constraint,the capacity of the microgrid power supply system in the polar environment is optimized.The simulation results of the example are to be proved that the wind-hydrogen-storage system can not only improve the system economy and reliability,but also effectively reduce energy waste.
作者
张长云
黄景光
李振兴
汪潭
熊华健
ZHANG Changyun;HUANG Jingguang;LI Zhengxing;WANG Tan;XIONG Huajian(College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,China)
出处
《电力工程技术》
北大核心
2022年第1期108-116,共9页
Electric Power Engineering Technology
基金
国家自然科学基金资助项目(52077120)。
关键词
极地环境
微电网
蓄电池储能
氢储能
负载缺电率
容量优化配置
遗传算法
polar environment
microgrid
battery energy storage
hydrogen energy storage
loss of load probability
optimization configuration of capacity
genetic algorithm
