论文总字数：29059字

摘 要

峰谷时段划分是电力需求管理中的一项关键的措施,分时电价得到了非常广泛的应用。同时伴随着经济的周期性波动,和产业结构的变化,同时电力供求关系也在频繁的改变,电力用户对峰谷分时电价响应也在反复。到如今,我国各省市都已经开始在用户中大量推行峰谷分时电价。分时电价作为需求管理的一种关键手段,以此同时有很大必要性根据需求响应情况,对正在执行的峰谷分时电价建立起一个动态调整的机制,以快速高效地发挥其引导作用,以此来提高电力资源的利用效率，节约能源的使用。

本文根据峰谷分时电价的时段划分问题,在过去传统的峰谷时段的模糊隶属函数的基础上，对电力用户需求响应进行相应的评估,同时使用聚类算法峰值时段分模型。在本文中,首先对基于需求响应曲线峰谷分时电价的结构进行了分析,建立峰谷分时电价的用户响应，对用户需求的响应之下的曲线结构进行分析，与此同时，充分考虑响应度属性，使用模糊聚类方法建立了峰谷分时电价时段划分模型，而在最后论文在对一个地区的实例进行了分析，表明所建立的模型划分时分，可以很好的处理的用户执行峰谷分时电价的需求反应，提高了时段划分的科学性。

关键词:需求响应;峰谷分时电价;时段划分;响应度属性;隶属度属性

Peak and Valley Periods Division Based on Demand Response

Abstract

As the power demand side management - a kind of important measures, has been widely used to price.As the economic cyclical fluctuations, the adjustment of industrial structure, and power supply and demand situation changes frequently, power users on the dynamic characteristics of response to price increase.To 2003, the various provinces and cities have generally start on the user side push. TOU priceTime-sharing electricity as an important means of demand side management, it is necessary according to the demand response, to has been performed to establish TOU price - a dynamic adjustment mechanism, as well as when, effectively play to the role of the time-sharing electricity price mechanism to guide the power consumption, and improve the efficiency of electric power resource allocation and the social benefit of electricity.

In this paper, according to the division of TOU price time problem, in the past the traditional peak GuShiDuan, on the basis of fuzzy membership function, corresponding evaluation, carried out for the users' demand response peak points model at the same time using the clustering algorithm.In this article, first of all, based on demand response curves of the TOU price structure was analyzed, and establish the user response of TOU price, structure of user demand under the response curve is analyzed, at the same time, fully consider the responsivity attributes, using fuzzy clustering method to establish the time division TOU price model, and in the final paper on instances of a region is analyzed, indicates that the established model partitioning, can very good deal with users of the execution of TOU price demand response, improve the science of time division.

Keywords: demand response; ; the TOU price Time division; The responsivity properties; Membership attribute

目录

摘 要 I

Abstract II

第一章 绪论 1

1.1研究背景及意义 1

1.1.1 需求响应与峰谷电价 2

1.1.2 峰谷时段划分现状 2

1.2国内外研究现状 6

1.2.1 基于供电成本的划分方法 7

1.2.2基于电力用户负荷曲线的划分方法 7

1.3研究思路及具体内容 7

第二章 理论基础 9

2.1 需求响应理论 9

2.1.1基于价格的需求响应 9

2.1.2 基于激励的需求响应 10

2.2 模糊数学理论 10

2.2.1 概念^[27] 10

2.2.2 隶属函数 11

第三章 表述及建模 12

3.1 峰谷时段的确定 12

3.1.1 典型日负荷曲线 12

3.1.2 模糊分析 13

3.1.3 峰谷时段确定方法 13

3.2 峰谷时段划分与峰谷电价模型 15

3.2.1 模型的参量 15

3.2.2 模型的建立 17

3.2.3 负荷曲线的评价指标 19

3.2.4 程序流程图 19

第四章 峰谷时段划分的算例与分析 22

4.1 原始数据 22

4.2 单目标模型优化 25

4.2.1 最小化峰负荷 25

4.2.2 最大化谷负荷 27

4.2.3最小化峰谷差 29

4.2.4相邻时刻负荷变化最小 31

4.3 单目标优化结果比较 33

第五章 总结与展望 35

5.1 全文总结 35

5.2 工作展望 35

参考文献 37

致谢 39

附录（部分程序与结果） 40

1 原始数据（初始时段划分与原始负荷数据）： 40

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