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一种基于价格弹性矩阵的居民峰谷分时电价激励策略
引用本文:刘浩田,陈锦,朱熹,刘顺成,邓凯. 一种基于价格弹性矩阵的居民峰谷分时电价激励策略[J]. 电力系统保护与控制, 2021, 49(5): 116-123
作者姓名:刘浩田  陈锦  朱熹  刘顺成  邓凯
作者单位:能源互联网供需运营湖南省重点实验室,湖南长沙410004;国网湖南省电力有限公司经济技术研究院,湖南长沙410004;湖南省送变电工程有限公司,湖南长沙410000
基金项目:国家重点研发计划政府间国际科技创新合作重点专项资助(2018YFE0125300);湖南省科技创新平台与人才计划项目资助(2019TP1053)。
摘    要:需求响应(DR)是利用价格信号和激励机制来保证电力系统安全可靠和经济运行的重要措施.传统价格激励在所有时间段的激励作用是一致的,可能导致对某个特定时间段的预测精度不够.研究了需求价格弹性矩阵(PriceElasticity Matrix of Demand,PEMD),提出了一种基于弹性效应权重的改进价格弹性矩阵模型....

关 键 词:需求侧管理  电力市场  需求响应  峰谷分时电价  弹性价格矩阵  负荷特性  激励机制
收稿时间:2020-05-12
修稿时间:2020-09-07

An incentive strategy of residential peak-valley price based on price elasticity matrix of demand
LIU Haotian,CHEN Jin,ZHU Xi,LIU Shuncheng,DENG Kai. An incentive strategy of residential peak-valley price based on price elasticity matrix of demand[J]. Power System Protection and Control, 2021, 49(5): 116-123
Authors:LIU Haotian  CHEN Jin  ZHU Xi  LIU Shuncheng  DENG Kai
Affiliation:(Hunan Key Laboratory of Energy Internet Supply-demand and Operation,Changsha 410004,China;State Grid Hunan Electric Power Co.,Ltd.,Institute of Economics and Technology,Changsha 410004,China;State Grid Hunan Power Transmission Engineering Company,Changsha 410000,China)
Abstract:Using price signal and an incentive mechanism,Demand Response(DR)is an important measure to ensure the safe,reliable,and economic operation of a power system.The incentive effect of traditional price incentive is the same in all periods,resulting in insufficient prediction accuracy in any particular period.In this paper,the Price Elasticity Matrix of Demand(PEMD)is studied,and an improved price elasticity matrix model based on the weight of the elasticity effect is proposed.The advantage of the model is that it can unify the rigid load and the flexible load,and set the weight for the price impact of different periods on other periods.The structure and calculation method of the price elasticity matrix determined by the price policy and load type is proposed.Finally,the effectiveness of the model is verified by simulation.The results show that the method can reduce peak power consumption by 4.23%and increase valley value power consumption by 4.86%.
Keywords:demand side management  electricity market  demand response  peak-valley price  price elasticity matrix of demand  load characteristic  incentive mechanism
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