Real-time price retail package design based on demand response

何宇俊; 罗 钢; 张 轩; 张 妍; 辜唯朕; 陈启鑫

doi:10.3969/j.issn.1009-1831.2022.01.017

您当前的位置：

首页 >

文章列表页 >

Real-time price retail package design based on demand response

更新时间：2026-03-05

- Real-time price retail package design based on demand response
- Vol. 24, Issue 1, (2022)
- 作者机构：
  
  1. 清华大学电机系,北京,100084
  2. 广东电网有限责任公司电力控制调度中心,广州,510699
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2022.01.017
  CLC：
- Published：2022
- 稿件说明：
移动端阅览
何宇俊, 罗钢, 张轩, et al. Real-time price retail package design based on demand response[J]. 2022, 24(1).
DOI：

何宇俊, 罗钢, 张轩, et al. Real-time price retail package design based on demand response[J]. 2022, 24(1). DOI： 10.3969/j.issn.1009-1831.2022.01.017.

摘要

随着我国售电侧改革不断深入，零售市场竞争日趋激烈，制定套餐电价是其中的关键。在我国各省建设电力市场的背景下，推行实时电价零售套餐具有较好的可行性。虽然固定电价和分时电价的应用更为广泛，但实时电价在反映电能价值变化、引导电力消费方面独具优势。在考虑需求弹性的基础上建立了实时电价套餐的非线性优化模型，分别从售电利益最大化、峰谷差最小化等方面对零售套餐合理设计，并基于实际负荷数据进行算例验证，结果表明所提的实时套餐设计可统筹兼顾售电、用户、电网等各方利益，有效释放电力体制改革红利。

Abstract

With the further development of power market deregulation in China

competition in retail market is becoming increasingly fierce

which has enhanced the importance of retail pack-age design. Under the background of many provinces constructingelectricity market

it is feasible to carry out real-time - price retailpackage. Although fixed price and time - of-use packages are morewidely used

real-time price packages enjoy advantages of reflectingthe variation of electrical energy’s value and leading power consumption. On the basis of demand elasticity

a nonlinear optimization model for real time price packages is formulated

with properlydesigning the real-time price packages from the perspective of maxi-mizing the retailer’s profit and minimizing the gap of peak - valleyload. A realistic case study has been conducted

and the numericalresults show that real-time price packages can take the interests of electric power seller

consumers and power grid enterprises into consideration

so as to release the bonus of the reformation of electricpower system in China.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on distributionally robust optimization based group tuning control strategy for distributed photovoltaic system under solar load gap

Optimal scheduling of virtual power plant based on energy storage and conditional value at risk

Intelligent building demand response optimization strategy for flexible load and carbon trading mechanism

Research on multi state interaction capability of central air conditioning system based on data driven approach

Rapid evaluation method of large-scale air conditioning demand response potential based on simulation model library

Related Author

田闽哲

李俊楠

何心铭

郭露方

马茗婕

黄梦旗

易文飞

叶志刚

Related Institution

国网河南省电力公司营销服务中心

国网江苏省电力有限公司电力科学研究院

国网江苏省电力有限公司盐城供电公司

需求侧多能互补优化与供需互动技术北京市重点实验室（中国电力科学研究院有限公司）

华北电力大学电气与电子工程学院

AI问答

⁰