Platform-led demand response trading approach considering carbon reduction benefits of adjustable loads

宫飞翔; 徐 靖; 陈宋宋; 李德智

doi:10.3969/j.issn.1009-1831.2024.04.014

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Platform-led demand response trading approach considering carbon reduction benefits of adjustable loads

更新时间：2026-03-05

- Platform-led demand response trading approach considering carbon reduction benefits of adjustable loads
- Vol. 26, Issue 4, (2024)
- 作者机构：
  
  1. 中国电力科学研究院有限公司,北京,100192
  2. 需求侧多能互补优化与供需互动技术北京市重点实验室,北京,100192
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2024.04.014
  CLC：
- Published：2024
- 稿件说明：
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宫飞翔, 徐靖, 陈宋宋, et al. Platform-led demand response trading approach considering carbon reduction benefits of adjustable loads[J]. 2024, 26(4).
DOI：

宫飞翔, 徐靖, 陈宋宋, et al. Platform-led demand response trading approach considering carbon reduction benefits of adjustable loads[J]. 2024, 26(4). DOI： 10.3969/j.issn.1009-1831.2024.04.014.

摘要

需求响应（demand response

DR）交易不仅可以促进电力供需平衡

还有减少碳排放的潜力。为挖掘可调节负荷（adjust?able loads

ALs）参与DR交易的碳减排潜力

要求ALs在参与DR交易获得经济效益的同时

还应获得碳减排收益。首先

考虑ALs对降低碳排放量作用

提出基于响应量和碳减排量的双激励型需求响应竞价模型。其次

基于提出的双激励型需求响应竞价模型

提出了计及碳交易的平台主导型需求响应交易模式。然后

采用模糊决策法

求解提出的多目标模型在解集空间内的Pareto最优解。最后

在改进的IEEE 30节点系统上

研究了工业用户、商业用户、居民用户、电动汽车充电区、5G基站等5类ALs的碳减排效果

验证所提模型的有效性。

Abstract

Demand response trading not only promotes the balance between electricity supply and demand

but also has the potential to re?duce carbon emissions. The carbon emission reduction potential of ALs participating in DR trading is explored. Therefore

the economicbenefits of ALs’participation in DR trading should be accompanied by carbon emission reduction benefits. Firstly

considering the role ofALs in reducing carbon emissions

a dual incentive type of demand response model based on response volume and carbon emission reduc?tion is proposed. Secondly

based on the proposed dual incentive type of demand response model

a platform-led demand response tradingmodel is proposed to account for carbon trading. Then

the fuzzy decision-making method is used to solve the Pareto optimal solution of theproposed multi-objective model in the solution set space. Finally

the carbon reduction effects of five types of ALs

industrial customers

commercial customers

residential customers

electric vehicle charging zones

and 5G base stations

are investigated on the improved IEEE30-node system to verify the effectiveness of the proposed model.

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