Potential evaluation of demand response based on fuzzy optimization of set pair analysis

刘国辉; 赵佳; 孙毅

doi:10.3969/j.issn.1009-1831.2018.06.001

您当前的位置：

首页 >

文章列表页 >

Potential evaluation of demand response based on fuzzy optimization of set pair analysis

更新时间：2026-03-05

- Potential evaluation of demand response based on fuzzy optimization of set pair analysis
- Vol. 20, Issue 6, (2018)
- 作者机构：
  
  1. 国网黑龙江省电力有限公司鹤岗供电公司,黑龙江,鹤岗,154100
  2. 华北电力大学电气与电子工程学院,北京,102206
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2018.06.001
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
刘国辉, 赵佳, 孙毅. Potential evaluation of demand response based on fuzzy optimization of set pair analysis[J]. 2018, 20(6).
DOI：

刘国辉, 赵佳, 孙毅. Potential evaluation of demand response based on fuzzy optimization of set pair analysis[J]. 2018, 20(6). DOI： 10.3969/j.issn.1009-1831.2018.06.001.

摘要

以负荷聚合商为中间商的需求响应（demand response

DR）运营模式可以充分挖掘需求侧资源潜力，实现综合优化配置。针对该模式下需求响应潜力评估的问题，提出一种基于模糊优化集对分析理论的需求侧用户响应潜力评估方法。通过分析影响该模式下用户参与响应的因素，建立用户评估指标体系。在此基础上，对集对分析理论进行模糊优化，建立潜力评估的量化模型，实现对用户响应潜力的初步量化。通过模拟聚合商与用户之间的负荷分配仿真实验，验证该评估方法在提高聚合商削减负荷任务分配的准确性及任务完成率方面的有效性。

Abstract

The demand-response business model with load aggregators as the middleman can fully exploit the potential of the demand-side resources and achieve the comprehensive optimization of power grid. Based on fuzzy set pair analysis

the potential evaluation method of demand response is proposed. By analyzing the influences of clients’response

the index system is established. Based on fuzzy set pair analysis

a model of potential assessment is established to achieve a preliminary quantification of user response potential. Through the load distribution simulation experiment between the aggregator and the user

the effectiveness of the evaluation method in improving the accuracy and task completion rate of the load reduction is verified.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Review of research on the assessment and regulation of the demand side resources under electricity market circumstances

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

Related Author

吴争

甘海庆

田闽哲

李俊楠

何心铭

郭露方

马茗婕

黄梦旗

Related Institution

国网江苏省电力有限公司

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）

AI问答

⁰