引用本文:杨 楠,刘涤尘,董开松,王 波,魏大千,朱振山,杨赟磊.考虑柔性负荷补偿/激励机制的风电供需侧一体化随机调度方法[J].电力自动化设备,2015,35(2):
YANG Nan,LIU Dichen,DONG Kaisong,WANG Bo,WEI Daqian,ZHU Zhenshan,YANG Yunlei.Integrated random scheduling for supply and demand sides of wind power system considering flexible load compensation/incentives[J].Electric Power Automation Equipment,2015,35(2):
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考虑柔性负荷补偿/激励机制的风电供需侧一体化随机调度方法
杨 楠1, 刘涤尘2, 董开松3, 王 波2, 魏大千2, 朱振山2, 杨赟磊2
1.三峡大学 电气与新能源学院,湖北 宜昌 443000;2.武汉大学 电气工程学院,湖北 武汉 430072;3.国家电网甘肃省电力科学研究院,甘肃 兰州 730050
摘要:
电力系统中风电接入规模日益扩大,其对电网影响也显著增加。基于改进方案树理论,以概率方式对风电出力随机性、波动性进行货币化度量,建立了考虑柔性负荷补偿/激励机制的风电供需侧一体化随机调度模型。针对模型的随机特性,给出包含龙贝格积分模块的改进帝国竞争算法。仿真结果表明,所提调度方法可提高含风电系统的运行效益及系统的风电接纳能力。
关键词:  风电  柔性负荷  激励  改进方案树  供需侧一体化调度  帝国竞争算法  模型  概率
DOI:
分类号:
基金项目:国家自然科学基金资助项目(51207113);武汉大学博士自主科研基金资助项目(274703);含交直流混合多级微网的国家级兰州新区智能电网综合建设工程之微网试验系统开发(5227221350BR)
Integrated random scheduling for supply and demand sides of wind power system considering flexible load compensation/incentives
YANG Nan1, LIU Dichen2, DONG Kaisong3, WANG Bo2, WEI Daqian2, ZHU Zhenshan2, YANG Yunlei2
1.College of Electrical Engineering & New Energy,China Three Gorges University,Yichang 443000,China;2.College of Electrical Engineering,Wuhan University,Wuhan 430072,China;3.State Grid Gansu Electric Power Research Institute,Lanzhou 730050,China
Abstract:
The increasing scale of integrated wind power brings the increasing impact on power system. An integrated random scheduling model for both supply and demand sides of wind power system is built based on the improved project tree theory,which considers the flexible load compensation/incentives and monetarily quantifies the randomness and volatility of wind power in the form of probability. According to the stochastic property of the model,the improved imperialist competitive algorithm including Romberg integration module is adopted. Simulative results show that,the proposed scheduling method improves the operational efficiency of power system with wind farm and increases the wind power integration capacity.
Key words:  wind power  flexible load  incentives  improved project tree  integrated supply and demand sides scheduling  imperialist competitive algorithm  models  probability

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