考虑不确定响应的分时电价分级优化模型

中国管理科学 ›› 2009, Vol. 17 ›› Issue (1): 50-57.

考虑不确定响应的分时电价分级优化模型

张丽英¹, 谭忠富¹, 王绵斌¹, 乞建勋¹, 张蓉²

1. 华北电力大学电力经济研究所, 北京 102206;
2. 北京京创兴业投资顾问有限公司, 北京 100043

收稿日期:2007-11-19 修回日期:2008-12-31 出版日期:2009-02-28 发布日期:2009-02-28
作者简介:张丽英(1959- ),女(汉族),华北电力大学电力经济研究所,博士研究生,高级工程师,研究方向:电力经济.
基金资助:
国家自然科学基金资助项目(70373017, 70571023, 50579101)

The Classification Optimization Model of Time-of-Use Price Considering Consumers’ Uncertain Responses

ZHANG Li-ying¹, TAN Zhong-Fu¹, WANG Mian-bin¹, QI Jian-xun¹, ZHANG Rong²

1. Institute of Electricity Economics, North China Electric Power University, Beijing 102206, China;
2. Beijing Jingchuang Xingye Investment Consultants, Beijing 100043, China

Received:2007-11-19 Revised:2008-12-31 Online:2009-02-28 Published:2009-02-28

摘要/Abstract

摘要： 针对我国用户执行峰谷分时电价的实际情况,本文构建了多类用户参与此项措施的分级优化模型.在考虑用户响应不确定性的条件下,先构造多类用户峰谷分时电价的一级优化模型;然后采用区间法,建立了供电公司和用户实行峰谷分时电价的风险损失评估二级优化模型;根据设定的风险阀值给出了最优峰谷分时电价方案的筛选方法.算例表明,该方法具有一定的可操作性,对电力监管部门推行此项措施具有一定的参考作用.

关键词: 电力需求响应, 峰谷分时电价, 区间法, 风险计算

Abstract: According to the fact of implementing peak and valley time price in our country, the paper constructs the classification optimization model of multiple-consumers participating in the measure.The first grade optimization model of multiple-consumers particating in peak and valley time price is established based on consumers' uncertain responses.Then, the second-grade optimization model of evaluating the risk losses of power supply companies and consumers implementing the measure is established with interval method.According to given risk threshold values, the filtration method of the optimization peak and valley time price project can be obtained.The example shows that the method has some maneuverability and it can provide reference for power supervise department to push the measure.

Key words: response of electricity demand, peak and valley time price, interval method, risk measure

中图分类号:

C931

张丽英,谭忠富,王绵斌, 等. 考虑不确定响应的分时电价分级优化模型[J]. 中国管理科学, 2009, 17(1): 50-57.

ZHANG Li-ying,TAN Zhong-Fu,WANG Mian-bin, et al. The Classification Optimization Model of Time-of-Use Price Considering Consumers’ Uncertain Responses[J]. Chinese Journal of Management Science, 2009, 17(1): 50-57.