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发电侧与供电侧峰谷分时电价联动的分级优化模型
引用本文:谭忠富,王绵斌,张蓉,乞建勋,王成文.发电侧与供电侧峰谷分时电价联动的分级优化模型[J].电力系统自动化,2007,31(21):26-29.
作者姓名:谭忠富  王绵斌  张蓉  乞建勋  王成文
作者单位:华北电力大学电力经济研究所,北京市,102206;北京京创兴业投资顾问有限公司,北京市,100043
摘    要:实施峰谷分时电价,可以改变用户的用电特性,达到移峰填谷、降低发供电成本、提高能源使用效率的目的,但同时也带来供电公司收益减少的风险.为此,提出了发电侧与供电侧分时电价联动的2级优化模型.该模型分2级进行优化:首先基于用户价格反应度矩阵,对供电侧峰谷电价进行优化,使其负荷曲线达到最优;然后对发电侧峰谷电价进行优化,以平衡发电公司与供电公司之间的成本效益,达成发电侧与供电侧价格联动.算例表明,所建立的分级优化模型能合理地分配发、供电实施峰谷分时电价的利益和风险,促进这项措施的顺利实施.

关 键 词:峰谷分时电价  价格联动  用户价格反应矩阵  优化模型
收稿时间:2/6/2007 5:19:05 PM
修稿时间:2007-02-062007-05-24

Classification Linkage Optimization Model of Time of Use Power Price Between Generating Side and Retail Side
TAN Zhongfu,WANG Mianbin,ZHANG Rong,QI Jianxun,WANG Chengwen.Classification Linkage Optimization Model of Time of Use Power Price Between Generating Side and Retail Side[J].Automation of Electric Power Systems,2007,31(21):26-29.
Authors:TAN Zhongfu  WANG Mianbin  ZHANG Rong  QI Jianxun  WANG Chengwen
Affiliation:1, North China Electric Power University, Beijing 102206, China;2, Beiiing Jingchuang Xingye Investment Consultants, Beijing 100043, China
Abstract:To execute time-of-use power price can change users' electricity-consuming characteristics,which will shift peak load,reduce generating and power supplying cost and improve efficiency of using resources.It will,however,give rise to the risk for decreasing benefits of some power supply companies.Thus,a linkage model optimized by two steps is presented with the generating side and the retail side taken into account:firstly,optimizing the time-of-use power price of the retail side based on users reaction matrix,making the load curve optimal;then optimizing the time-of-use power price of the generating side,forming linkage price between the generating side and the retail side and balancing the cost benefits of generation company and power supply company.The case shows the classification optimizing model proposed can distribute the benefit and risk of generation companies and power supply companies derived from implementing the time of use power price and make the measure be implemented smoothly in return.
Keywords:time-of-use power price  linkage price  users reaction matrix  optimizing model
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