基于可靠性评估的多个分布式微电网的最佳规划和分区
Hamid Amini Khanavandi1, Majid Gandomkar1, Javad Nikoukar1
1Department of Electrical Engineering, College of Engineering Technology, Saveh Branch, Islamic Azad University, Saveh, Iran.
PloS one
|July 31, 2024
概括
本研究介绍了一种随机优化框架,用于在配电系统中规划多个微电网 (MMG). 最佳的微电网布局提高了可靠性,减少了功耗损失,并优化了能源管理.
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:
- 微电网 (MG) 提供了在配电系统中提高可靠性,灵活性和减少排放.
- 整合多个微电网 (MMG) 提出了复杂的规划和分区挑战.
- 平衡MG所有者和配电系统运营商的目标至关重要.
研究的目的:
- 开发一个单一级的随机优化框架,用于规划和分区使用MMG的分销系统.
- 尽量减少系统总成本,包括投资,运营,损失和可靠性成本.
- 根据电压稳定性和利益相关者的观点,确定最佳的MG投资地点.
主要方法:
- 一个随机优化框架,包含电压稳定指数用于站点识别.
- 火算法 (FA) 和概率树方法用于模拟可再生能源 (PV和WTs) 的不确定性.
- 基因算法 (GA) 在MATLAB中用于解决优化模型和使用连接开关 (TS) 的网络分区.
主要成果:
- 在Feeder的开始附近确定了最佳的MG投资地点.
- 通过战略性 MG 放置,提高了负载点的可靠性.
- 显示了总主动功率损耗的显著降低和优化能源管理.
结论:
- 拟议的随机优化框架有效地计划和分区使用MMG的分布系统.
- 靠近料器的最佳MG放置可以提高整体系统性能和经济可行性.
- 该模型成功地平衡了各种利益相关者的经济和可靠性目标.
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