摘要
大规模风电并网后,外送通道狭窄以及常规电源调峰能力不足导致弃风问题严重,为此,需要寻求提高风电消纳能力的新途径。分析了高载能负荷、电热锅炉和电动汽车负荷的可调节特性,基于各类负荷的可调节能力,建立以消纳风电最大和系统运行成本最小的源荷互动调峰多目标优化模型,并采用改进遗传算法进行求解。通过算例验证了调峰优化方法的可行性与有效性。
With integration of large-scale wind power,narrowness of the transmission channel and lack of the peaking regulation ability of the conventional power source often lead to the serious problem of abandoned wind.Therefore,it is necessary to find out new ways to improve the wind power integration capability.In this paper,first of all,the characteristics of adjustable loads such as high-energy load,electric boilers and electric vehicles are analyzed.Secondly,based on the adjustable characteristics of all kinds of loads,a multi-objective optimal model of source-load interacting peaking regulation is established to minimize the operating cost and maximum the consumed capacity of wind power.Next,an improved genetic algorithm is used to solve the model.Finally,the feasibility and validity of peak shaving optimization method are verified by an example.
作者
田浩
刘文颖
王方雨
王维洲
药炜
TIAN Hao;LIU Wenying;WANG Fangyu;WANG Weizhou;YAO Wei(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China;Jiangsu Keneng Electric Power Engineering Consulting Co.,Ltd.,Nanjing 210036,Jiangsu,China;State Grid Gansu Electric Power Research Institute,Lanzhou 730070,Gansu,China;Taiyuan Electric Power Supply Company,State Grid Shanxi Electric Power Company,Taiyuan 030012,Shanxi,China)
出处
《电网与清洁能源》
2018年第11期32-38,共7页
Power System and Clean Energy
基金
国家自然科学基金面上项目(51377053)
国家科技支撑计划(2015BAA01B04)
国家电网公司科技项目(52272216002D)
国网甘肃省电力公司科技项目(SGGSKY00JNJS1700152)~~
关键词
源荷互动
调峰
可调节负荷
改进遗传算法
source-load interaction
peaking regulation
adjustable load
improved genetic algorithm
