| 物联网环境下售电商运营优化模型 |
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| 引用本文： | 郭曼兰,,陈皓勇,肖文平,陈志峰,沈娜,黄钊文,刘丰华,张立荣.物联网环境下售电商运营优化模型[J].陕西电力,2020,0(11):80-85,91. |
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| 作者姓名： | 郭曼兰 陈皓勇 肖文平 陈志峰 沈娜 黄钊文 刘丰华 张立荣 |
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| 作者单位： | 1. 华南理工大学，广东 广州 510000； 2. 顺德职业技术学院，广东 佛山 528000；
3. 华南理工大学 广州学院，广东 广州 510000 |
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| 摘 要： | 在物联网和市场化环境下不同类型用户制定相同的电价策略会影响售电商收益，降低市场竞争力。首先分析了售电商运营模式，对不同类型用
户进行划分。再者，基于物联网环境下需求侧响应发展与电量电价弹性系数，对用户的需求响应行为建模。在此基础上，基于峰谷分时电价，以售电
商收益最大化为目标，建立多类型负荷协调运营优化模型，并设计3种策略进行算例分析。结果表明，策略3能够使售电商在收益上升的同时有效提高
负荷曲线负荷率，更容易得到用户支持。
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| 关 键 词： | 物联网 售电商 多类型负荷 峰谷分时电价 电价弹性系数 |
Operational Optimization Model for Electricity Suppliers under the
Internet of Things Environment |
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| GUO Manlan,,CHEN Haoyong,XIAO Wenping,CHEN Zhifeng,SHEN Na,HUANG Zhaowen,LIU Fenghua,ZHANG Lirong.Operational Optimization Model for Electricity Suppliers under the
Internet of Things Environment[J].Shanxi Electric Power,2020,0(11):80-85,91. |
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| Authors: | GUO Manlan CHEN Haoyong XIAO Wenping CHEN Zhifeng SHEN Na HUANG Zhaowen LIU Fenghua ZHANG Lirong |
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| Affiliation: | 1. South China University of Technology， Guangzhou 510000， China； 2. Shunde Polytechnic， Foshan 528000， China； 3.Guangzhou
College of South China University of Technology， Guangzhou 510000， China |
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| Abstract: | Under the Internet of things and marketing environment， different types of users use the same electricity pricing
strategy， affecting the electricity supplier benefit and reducing market competitiveness. Firstly， the paper analyzes the
operating mode of the supplier and divides users into different types. Furthermore， according to the development of demand
response under the Internet of things environment and a price elasticity coefficient of demand， this paper establishes the
behaviour model of the load response to electricity price. On this basis， with the goal of maximizing the supplier benefit， the
time-of-use electricity price-based coordination operation optimization model with multi-type loads is established， and the
example analysis is done with three strategies proposed in the paper. The result shows that the strategy 3 can increase the
supplier benefit while increasing the load rate of load curve， making it easier for the supplier to get the user support. |
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| Keywords: | Internet of things electricity supplier multi-type loads time-of-use price price-elasticity coefficient |
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