Review of demand response participating in power system peak shifting

党东升; 韩松; 周珏; 田星; 周宗川; 罗庚玉

doi:10.3969/j.issn.1009-1831.2017.05.003

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Review of demand response participating in power system peak shifting

更新时间：2026-03-05

- Review of demand response participating in power system peak shifting
- Vol. 19, Issue 5, (2017)
- 作者机构：
  
  1. 国网宁夏电力公司经济技术研究院,银川,750002
  2. 东南大学电气工程学院,南京　210096 江苏省智能电网技术与装备重点实验室东南大学,南京,210096
  3. 国家电网公司电力需求侧管理指导中心,南京,210024
  4. 国网安徽省电力公司,合肥,230061
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2017.05.003
  CLC：
- Published：2017
- 稿件说明：
移动端阅览
党东升, 韩松, 周珏, et al. Review of demand response participating in power system peak shifting[J]. 2017, 19(5).
DOI：

党东升, 韩松, 周珏, et al. Review of demand response participating in power system peak shifting[J]. 2017, 19(5). DOI： 10.3969/j.issn.1009-1831.2017.05.003.

摘要

于我国电力供需矛盾和系统负荷峰谷差逐渐加大，需求响应措施在需求侧管理中得到广泛地应用。通过采用价格和激励措施，电力部门引导用户改善用电负荷，达到调峰的效果。以需求响应调峰可行性、优化模型以及评估方法为立足点，对需求响应参与系统调峰研究进行综述。首先，分析了用户的调峰特性。接着讨论了电价制定方法以及电价参与调峰的优化模型建立。然后概述了激励和电价联合参与调峰及需求侧资源参与系统长期调峰，并介绍了需求响应调峰效果的评估方法。最后，结合需求侧管理和智能电网的发展要求，对需求响应参与系统调峰的研究方向进行展望。

Abstract

Due to the remarkable increase of unbalance between power supply and demand as well as load variation

demand response has been widely applied in electricity management in China.Through the use of price and incentive measures

power utilities can guide users to improve their electricity consumption behavior

resulting in effective load management.This paper is intended to make a survey on demand response applications in power system peak shaving

including the feasibility of peak shaving

optimization model and evaluation method.The characteristics of power user's peak shaving are analyzed first.Second

formulation method and the optimization model of peak load management based on electricity price are discussed.Then the paper summarizes the peak shaving researches based on the combination of incentive and price

and the long?term peak shaving considering the participation of demand side resources.The evaluation methods of peak shaving effect by demand response are also introduced.Finally

vistas of this research topic are projected into the future.

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