优化岛屿微电网的能源和负载管理,以提高对资源中断的弹性
Majid Hosseina1, Mahmoud Samiei Moghaddam2, Amir Hassannia3
1Department of Electrical Engineering, Hakim Sabzevari University, Sabzevar, Iran. majidhosseina@gmail.com.
Scientific reports
|May 10, 2025
概括
本研究介绍了岛屿微电网的弹性重点框架,优化能源管理,尽量减少成本,损失和排放,同时最大限度地利用可再生能源. 这种新的方法确保在中断期间减少零负载,提高电网稳定性和可靠性.
科学领域:
- 电气工程 电气工程
- 电力系统工程 电力系统工程
- 优化理论 优化理论
背景情况:
- 由于集成可再生能源 (RES),储能系统 (ESS),电动汽车 (EV) 充电和需求响应 (DR),微电网越来越复杂.
- 岛屿微电网面临着运营挑战,特别是对可再生能源发电中中断和波动的脆弱性.
- 现有的管理策略往往优先考虑成本或排放,忽视同时优化减负,电压稳定性和不确定性下的弹性.
研究的目的:
- 为岛屿微电网提出一个以弹性为导向的新能源和负载管理框架.
- 开发一个多目标优化功能,最大限度地减少负载缩减,能源损失,电压偏差,排放和采购成本.
- 为了最大限度地利用可再生能源,提高整体电网弹性.
主要方法:
- 一个协调的控制策略共同优化了需求侧管理,分布式发电,电动汽车充电/放电,ESS调度和反应功率补偿.
- 多目标火焰算法 (MOMFA) 是一种先进的元启发法,用于解决高维,非线性优化问题.
- 模拟在33节点的微电网上进行,将MOMFA与遗传算法 (GA),粒子群优化 (PSO) 和灰狼优化 (GWO) 进行比较.
主要成果:
- 拟议的框架实现了显著的减少:电压偏差60%,能源损耗81%,二氧化碳排放量86%.
- 即使在严重的可再生能源停电场景下,也保持了零负载限制.
- 与GA,PSO和GWO相比,MOMFA在处理复杂的权衡方面表现优越.
结论:
- 开发的框架提供了一个可扩展的,实时可实施的解决方案,用于增强岛屿微电网对可再生能源间歇性的弹性.
- 它提供了一个整体的,多目标的,灵活性驱动的优化策略,推进微电网能源管理.
- 该方法有效平衡运营成本,可靠性和弹性,确保稳定的电力供应.
相关概念视频
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