Industrial User Decision Model Considering Differentiated Power Quality Services in the Context of Carbon Market

ZHANG Yi; XIANG Mengru; ZHENG Zonghua

doi:10.13334/j.0258-8013.pcsee.240372

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Industrial User Decision Model Considering Differentiated Power Quality Services in the Context of Carbon Market

更新时间：2026-10-12

- Industrial User Decision Model Considering Differentiated Power Quality Services in the Context of Carbon Market
- Vol. 45, Issue 19, Pages: 7443-7455(2025)
- 作者机构：
  
  福州大学电气工程与自动化学院,福建省,福州市,350108
- 作者简介：
- 基金信息：
- DOI：10.13334/j.0258-8013.pcsee.240372
  CLC：
- Published：2025
- 稿件说明：
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ZHANG Yi, XIANG Mengru, ZHENG Zonghua. Industrial User Decision Model Considering Differentiated Power Quality Services in the Context of Carbon Market[J]. 2025, 45(19): 7443-7455.
DOI：

ZHANG Yi, XIANG Mengru, ZHENG Zonghua. Industrial User Decision Model Considering Differentiated Power Quality Services in the Context of Carbon Market[J]. 2025, 45(19): 7443-7455. DOI： 10.13334/j.0258-8013.pcsee.240372.

摘要

如何在分布式新能源接入的同时保证电能质量，并在电-碳市场交易中做出合理决策，是高耗能工业用户亟待解决的现实问题。为此，提出一种碳市场背景下考虑差异化电能质量服务的用户决策模型。首先，分析安装分布式新能源对用户电能质量和碳排放量的影响，并计算用户选取不同电能质量服务时的碳排放量；其次，以用户参与双市场交易履约期利润最大为目标函数，计及电能质量-碳排放量耦合约束，建立碳市场背景下考虑差异化电能质量服务的用户决策模型；最后，以某钢铁生产企业为算例进行分析。结果表明，所提模型可以实现工业用户月度购电与碳配额交易量的协调优化，通过合理部署分布式新能源和提升电能质量等级，能使其减少碳排放量的同时获取更大收益。

Abstract

For high energy-consuming industrial users

making reasonable decisions in the power carbon market trading is a matter of urgency. At the same time

how to ensure the users' power quality when accessing distributed new energy is a practical problem. Therefore

this paper proposes a user decision model considering differentiated power quality services in the context of carbon market. Firstly

the impact of the installation of distributed new energy on the user's power quality and carbon emissions is analyzed. The carbon emissions from different power quality service choices are calculated. Secondly

a user decision model is established in the context of the carbon market

considering differentiated electricity quality services and the coupling constraint of electricity quality and carbon emissions. The objective function for the model aims to maximize profit during the user's participation in dual market transactions. Finally

a steel production enterprise is taken as an example for analysis. The calculation results show that the model proposed in this article can achieve coordinated optimization of monthly electricity purchase and carbon quota trading volume for industrial users. By reasonably arranging the access capacity of distributed new energy devices and improving the power quality level

it can obtain greater profits with less carbon emission.

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