分布式储能系统的最佳配置,以提高电压稳定性,并最大限度地降低总成本
Ramy Mohamed Hany1, Tarek Mahmoud2, El Said Abd El Aziz Osman2
1Department of Electrical Power and Machines Engineering, The Higher Institute of Engineering, Elshorouk City, Egypt.
PloS one
|January 29, 2024
概括
本研究介绍了花优化器 (DO) 用于在配电网络中优化能源存储系统 (ESS) 的放置和尺寸. DO方法有效地降低了年度系统成本,优于其他优化技术.
科学领域:
- 电气工程 电气工程
- 优化算法 优化算法
- 电力系统 电力系统
背景情况:
- 分布网络的能源效率对于性能至关重要.
- 储能系统 (ESS) 为提高效率提供了一个解决方案.
- 战略性配置和ESS的大小是最大化效益的关键.
研究的目的:
- 提出一种有效的方法,以优化ESS的配置和尺寸.
- 尽量减少分配系统的年度总体成本.
- 为了降低与功率损失,电压偏差和峰值需求相关的成本.
主要方法:
- 使用花优化器 (DO) 进行优化.
- 在IEEE 33总线分布系统上实施该方法.
- 将DO结果与原始系统和狮优化器 (ALO) 进行比较.
主要成果:
- 提出的DO方法有效地确定了ESS的最佳位置和尺寸.
- 实现了全年系统总成本的显著降低.
- 与ALO相比,DO证明了优越的成本节约.
结论:
- 花优化器为ESS优化提供了一个简单而有效的解决方案.
- 最佳的ESS集成可以提高配送网络的性能,降低成本.
- 拟议的方法有利于在配送系统中的实际实施.
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