市场环境下售电公司客户管理与售电定价模型研究

论文总字数：29368字

摘 要

随着售电市场改革进程的不断发展，售电侧引入了市场竞争的机制，目前我国已经建立了不少售电公司但其中真正投入运行的却寥寥无几，究其原因在于我国目前所能提供的售电套餐较为单一，市场缺乏竞争，同时没有合理完善的客户管理模型以及售电定价模型为市场竞争提供支撑力，针对这方面的问题，本文进行了初步研究。

首先本文通过对美国、英国、澳大利亚等国电力市场的研究，总结出目前世界上存在的大部分电价套餐，并对其进行分析，总结出各类套餐的优缺点并分析其适用对象。第二部分针对客户管理选取了九个典型用电行为标签，对每个指标进行赋值，最终使用模糊c均值聚类法进行聚类，将客户分为四个大类，选取上海市闵行区的五十户客户进行分析，证实此模型的可行性。第三部分通过优化现有的分时定价对用户的用电负荷曲线进行优化，降低日负荷曲线的最大值，提高日负荷曲线的最小值，减小峰谷用电量的差值，以此提高电网的稳定性，降低事故的发生率。

关键词：电价套餐；模糊聚类；客户画像；定价模型；峰谷分时电价

Research on Customer Management Model and Pricing Model of Electricity Sales Company in Electricity Market

Abstract

With the continuous development of the electricity sales market reform process, the electricity sales side has introduced a market competition mechanism. At present, many electricity sales companies have been established in China, but few of them are actually put into operation. The electricity sales package is relatively single, the market lacks competition, and there is no reasonable and perfect customer management model and electricity sales pricing model to provide support for market competition. In this regard, this article conducted a preliminary study.

First of all, through the study of the electricity markets in the United States, the United Kingdom, Australia and other countries, this paper summarizes most of the current electricity price packages in the world, and analyzes them. The second part selects nine typical electricity consumption behavior labels for customer management, assigns values to each indicator, and finally uses fuzzy c-means clustering to cluster customers into four major categories. An analysis of fifty customers confirmed the feasibility of this model. The third part optimizes the user's electricity load curve by optimizing the existing time-sharing pricing, reducing the maximum value of the daily load curve, increasing the minimum value of the daily load curve, and reducing the difference between the peak and valley power consumption. Improve the stability of the power grid and reduce the incidence of accidents.

Keywords：Electricity price package，Fuzzy clustering，Customer portrait，Pricing model，Peak-valley time-of-use electricity price

目录

摘要 I

Abstract II

第一章 绪论 1

1.1选题背景及意义 1

1.2本文研究内容 1

第二章 售电公司产品服务设计 2

2.1售电套餐研究 2

2.1.1固定费率类电价套餐 2

2.1.2可变费率类电价套餐 3

2.1.3需求响应类电价套餐 3

2.1.4绿色能源电力套餐 5

2.1.5总结 6

2.2增值服务研究 6

2.2.1电力增值服务内容 6

2.2.2售电公司的典型案例 9

2.3.1电力增值服务组织形式 10

2.3.2电力增值服务业务流程 11

第三章 客户管理模型 12

3.1模糊聚类算法 12

3.2客户用电画像特征标签 13

3.2.1客户用电特征 13

3.2.2 电力客户用电行为标签 16

3.3电价敏感性分析 17

3.3.1价格响应静态分析 17

3.3.2价格响应动态分析 18

3.4温度敏感性分析 19

3.4.1气温累积效应的分析 19

3.4.2气温累积效应的修正 19

3.5算例分析 20

第四章 电价定价模型 22

4.1电价弹性模型 22

4.2分时电价优化模型 23

4.2.1目标函数 23

4.2.2约束条件 24

4.2.3结算公式 25

4.3影响售电公司定价的因素 25

4.3.1批发市场电价 25

4.3.2用户响应情况 25

4.3.3用户满意度 25

4.3.4售电公司的市场份额 25

4.4算例分析 25

致谢 28

参考文献 29

第一章 绪论

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