摘要
针对配电网规划领域负荷数据挖掘问题,基于实际数据,应用隐马尔科夫模型算法,建立空调负荷挖掘及需求侧响应评估模型,将空调负荷从用电数据中分离,准确描述需求侧响应限值。以配电系统折算到年的总成本最小为目标函数,提出扩展规划模型并进行求解,最后通过IEEE 33节点算例对模型有效性进行验证。结果表明,所提数据挖掘算法能够有效挖掘用户需求侧响应潜力,有利于优化配电网规划方案,降低系统总成本,延缓配电网扩展投资,提高配电系统整体经济性,对配电网规划具有重要的现实意义和作用。
This paper focuses on load data mining in the field of distribution network planning,on the basis of actual data,the model of response evaluation based on air-conditioning load data mining is established,separating air-conditioning load from power consumption data,which can describe the demand response limits accurately,and the distribution system expansion planning model is also proposed and solved by aiming at minimizing the total cost of the distribution system.The validity of the model is verified by an IEEE 33-node example.The results show that the data mining methodology can be used to evaluate the demand response potential,which enables the distribution network planning scheme to be optimized,the total system cost to be reduced,the investment of distribution system expansion to be delayed,and the overall economic efficiency of distribution system to be improved.The proposed method has important practical significance and function for distribution network planning.
作者
苏宁
李笑彤
梁惠施
贡晓旭
吕风波
席嫣娜
齐步洋
SU Ning;LI Xiaotong;LIANG Huishi;GONG Xiaoxu;LÜFengbo;XI Yanna;QI Buyang(State Grid Beijing Electric Power Company Economic and Technical Research Institute,Beijing 100055,China;Tsinghua Sichuan Energy Internet Research Institute,Chengdu 610213,China;Department of Electrical Engineering,Tsinghua University,Beijing 100084,China)
出处
《电力建设》
CSCD
北大核心
2021年第11期100-107,共8页
Electric Power Construction
基金
国网北京市电力公司科技项目“基于价值驱动的两网融合背景下配电网协调规划技术研究项目”(52023419000A)。
关键词
数据挖掘
需求侧响应
配电网规划
data mining
demand response
distribution network planning
