分布式发电资源,电容器和充电站的最佳配置,使用开发的竞争性算法
Shifeng Wang1, Zhixiang Li2, Mohammad Javad Golkar3
1University of Sanya, Sanya, Hainan, 572099, China.
Heliyon
|March 4, 2024
概括
本研究介绍了一种优化的方法,用于放置分布式发电 (DG),电动汽车 (EV) 充电站和分流电容器 (SC),以提高电力系统效率和电压稳定性.
科学领域:
- 电气工程 电气工程
- 优化理论 优化理论
- 电力系统 电力系统
背景情况:
- 配电系统面临的挑战是效率和电压稳定性.
- 分布式发电 (DG),电动汽车 (EV) 充电站和分流电容器 (SC) 的最佳放置对于系统性能至关重要.
研究的目的:
- 开发一种新,高效和强大的方法,以优化GD,电动汽车充电站和SC的位置.
- 提高发电系统中的功率效率和电压配置文件.
主要方法:
- 一种混合优化模型,将竞争性搜索优化 (CSO) 与模糊和混乱理论相结合.
- 模糊理论用于识别GD和SC的最佳位置.
- 混沌理论来增强本地搜索优化过程.
主要成果:
- 在功率指数,发电,功率损失和系统电压方面显著改进.
- 与传统方法相比,在准确性和收速度方面取得了明显的改进.
- 在69巴系统上进行的验证证实了拟议方法的优越性.
结论:
- 综合方法有效地解决了发电系统中的多个目标和限制.
- 拟议的方法为优化DG,电动汽车充电站和SC放置提供了实用和优质的解决方案.
- 结果表明,对电力系统规划人员和运营商来说,有显著的好处.
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