动态算术优化算法控制分布式发电,以平衡需求并提高不平衡的配电系统的功率质量
Ahmad Eid1, Abdulrahman Alsafrani2
1Department of Electrical Engineering, College of Engineering, Qassim University, Buraidah, 52571, Saudi Arabia.
Scientific reports
|December 31, 2024
概括
这项研究优化了分布式发电机 (DG) 以平衡电力系统,显著减少电压,电流和功率不平衡. 这些方法提高了电力质量,并最大限度地减少了在不平衡的配电网络中的电力损失.
科学领域:
- 电气工程 电气工程
- 电力系统分析 分析 分析
- 优化技术 优化技术
背景情况:
- 不平衡的电力系统会导致设备过热,能源损耗增加和保护装置故障.
- 保持电力质量和系统稳定性对于可靠的电力分配至关重要.
- 分布式发电机 (DG) 为电力系统平衡和质量改进提供了解决方案.
研究的目的:
- 为总局开发和评估基于优化的控制技术,以缓解配送系统的不平衡.
- 在不平衡的电网中改进电压,功率和电流质量因素 (VUF,PUF,CUF).
- 为了最大限度地减少功率损失,并提高配电网络中的电压概况.
主要方法:
- 利用粒子优化 (PSO) 和动态算术优化算法 (DAOA) 进行 DG 位置,尺寸和功率因子的确定.
- 应用优化算法到三个不平衡的分布系统 (10,13,和37节点) 在满载和每日运行条件下.
- 根据ANSI和IEEE标准评估电压,功率和电流失衡因子 (VUF,PUF,CUF).
主要成果:
- 在所有系统中,优化技术成功地将电压不平衡因子 (VUF) 降低到标准标准以下.
- 从初始值 (116%,28%,17%) 到接近零的功率失衡因子 (PUF) 实现了显著的降低.
- 在当前不平衡因子 (CUF) 中显著改善,相应系统的功率损失减少了80%,51%和52%.
- 在所有研究的系统中都观察到增强的电压配置和降低的电压变异.
结论:
- 拟议的基于优化的DG控制有效平衡不平衡的电力系统,提高整体电力质量.
- 公共服务局和DAOA是确定最佳总局参数的可行算法,以解决系统不平衡并减少损失.
- 实施的战略通过减轻电压,电流和电源质量问题,显著提高了系统可靠性和运营效率.
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