在微电网系统中实现平衡经济排放的混合需求侧政策
Arvind R Singh1, Bishwajit Dey2, Srikant Misra3
1Department of Electrical Engineering, School of Physics and Electronic Engineering, Hanjiang Normal University, Shiyan, China.
iScience
|March 31, 2025
概括
本研究介绍了一种混合需求侧管理 (DSM) 方法,该方法结合了微电网的负载转移和限制政策. 混合动力战略,包括智能电动汽车充电,显著降低能源成本和排放.
科学领域:
- 电气工程 电气工程
- 能源系统 能源系统
- 环境科学 环境科学
背景情况:
- 需求侧管理 (DSM) 对于提高配电网络效率和减少压力至关重要.
- 负载转移政策 (LSP) 和负载限制政策 (LCP) 是现有的DSM策略,对负载管理有不同的方法.
- 插电式混合动力电动汽车 (PHEV) 代表了相当大的灵活负载,可以在微电网中进行优化.
研究的目的:
- 引入和评估一种新的混合DSM方法,将LSP和LCP与智能PHEV充电相结合.
- 优化微电网 (MG) 负载特征,以获得经济和环境效益.
- 评估拟议的混合负载转移和限制政策 (HLSCP) 在降低发电成本和排放方面的有效性.
主要方法:
- 开发一种混合DSM战略 (HLSCP),将LSP和LCP结合起来.
- 整合用于PHEV的智能充电策略.
- 使用差异演变 (DE) 算法优化微电网负载配置文件.
主要成果:
- 通过HLSCP,微电网的发电成本从707¥降至682¥.
- 整合智能PHEV充电进一步降低了成本至676¥.
- 通过混合DSM方法,排放量从1267kg减少到1246kg.
结论:
- 混合式DSM方法 (HLSCP) 有效地降低了电力系统的经济和环境负担.
- 智能PHEV充电的整合提高了微电网管理的成本效益和可持续性.
- 该DE优化方法证实了所提出的可持续微电网管理战略的稳定性和效率.
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