在多个相互连接的水和电力微电网中设计一个基于MOPSO算法的多目标能源管理系统
Abdulaziz Alkuhayli1, Masoud Dashtdar2, Aymen Flah3,4,5,6,7
1Electrical Engineering Department, College of Engineering, King Saud University, Riyadh, 11421, Saudi Arabia.
Heliyon
|May 30, 2024
概括
本研究介绍了多个微电网的能源管理系统,优化运营以降低成本和污染. 层次控制和多目标优化有效地管理能源交换,提高系统的稳定性.
科学领域:
- 电气工程 电气工程
- 优化理论 优化理论
- 环境科学 环境科学
背景情况:
- 现代能源系统在有效管理多个相互连接的微电网方面面临着挑战.
- 同时优化能源流量,运营成本和环境影响是一个复杂的任务.
- 集成水网组件,如变速和储,为能源管理增加了另一层复杂性.
研究的目的:
- 为多个微电网开发一个分层的能源管理系统 (EMS).
- 基于考虑运营成本,污染和操作的三项目标模型来优化系统.
- 要有效地整合电力和水网规划,使用灵活的资源,如储和变速.
主要方法:
- 对于EMS,具有初级 (本地) 和二级 (中央) 层的等级控制策略.
- 优化规划变速和储作为灵活的资源.
- 多目标粒子群集优化 (MOPSO) 解决了三目标问题.
- 敏感性分析,以评估发电机组不确定性的影响.
主要成果:
- 实现了运营成本 (高达41.1%) 和污染 (高达52.2%) 的显著降低.
- 拟议的控制方案在各种条件下显示出强度和稳定的性能.
- 水和电网规划的整合导致了改进的目标功能和增强的算法性能 (高达51%).
结论:
- 开发的层次式EMS有效地管理了多个微电网中的能源交换,同时考虑了电流限制.
- 水和电网规划的整合提供了一个强大的和高效的解决方案,以减少运营成本和环境影响.
- MOPSO算法在优化复杂的多目标问题上被证明是有效的,证实了该模型的实际适用性.
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