可用性和不确定性-意识到电容和DSTATCOM在分配网络中的最佳放置,使用改进的指数分布优化器优化器
Abdulaziz Alanazi1, Mohana Alanazi2, Zulfiqar Ali Memon3
1Department of Electrical Engineering, College of Engineering, Northern Border University, 73222, Arar, Saudi Arabia.
Scientific reports
|April 16, 2025
概括
本研究介绍了一种改进的优化算法 (IEDO),用于在配电系统中同时放置和调大电容和DSTATCOM. IEDO有效地降低了成本,并在负载不确定性下提高了系统性能.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 优化算法 优化算法
背景情况:
- 辐射分布系统需要高效的反应功率补偿,以最大限度地减少损失和改善电压配置.
- 现有的优化方法可能会在不确定的负载条件下与电容器和DSTATCOM同时放置的复杂性作斗争.
研究的目的:
- 开发和验证一种新的元启发算法,即改进的指数分布优化器 (IEDO),用于同时优化电容和DSTATCOM.
- 尽量减少网络活动损失和反应功率补偿成本,同时考虑补偿器可靠性和负载不确定性.
主要方法:
- 一个新的元启发算法,即改进的指数分布优化器 (IEDO),灵感来自指数分布理论,并结合了螺旋运动策略.
- 模拟场景包括单个电容/DSTATCOM优化和同时优化,可靠性和不确定性考虑和不考虑使用无香料转换.
主要成果:
- 在案例III (同时优化可靠性和不确定性) 中,IEDO表现优异,实现了最低的成本和最高的净节省.
- 与个人补偿方法相比,同时优化方法显著改善了电压配置.
- 考虑到补偿器的可靠性和负载的不确定性 (情景II) 导致系统成本适度增加 (约. 8.7%) 和净储蓄下降 (约. 6.5%) 与第一种情景相比.
结论:
- IEDO是一种高效的算法,用于优化辐射分布系统中的反应功率补偿.
- 考虑到可靠性和负载不确定性,同时放置和尺寸的电容器和DSTATCOMs,产生最具成本效益和性能增强的解决方案.
- 拟议的方法在复杂的电力系统场景中优化了传统的优化技术.
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