一个以减去平均值为基础的优化器,用于解决在电力系统中的TCSC分配应用中的工程问题
Ghareeb Moustafa1,2, Mohamed A Tolba3, Ali M El-Rifaie4
1Electrical Engineerng Department, Jazan University, Jazan 45142, Saudi Arabia.
Biomimetics (Basel, Switzerland)
|August 25, 2023
概括
本研究介绍了一种改进的减去平均值优化算法 (ISAOA),可以显著提高工程优化. ISAOA通过最佳的电阻控制系列电容器 (TCSC) 放置,在降低电力系统损耗方面表现出卓越的性能.
科学领域:
- 工程优化工程优化
- 电力系统 电力系统
背景情况:
- 进化算法对于复杂的工程问题至关重要.
- 标准的减去平均值优化算法 (SAOA) 在搜索功能方面存在局限性.
- 优化电力系统组件,如电阻控制系列电容器 (TCSCs),对于效率至关重要.
研究的目的:
- 为了开发一个增强的优化算法,改进SAOA (ISAOA),具有卓越的搜索功能.
- 应用ISAOA以获得最佳的TCSC分配,以减少电力系统损失.
- 将ISAOA的性能与标准SAOA和其他领先的优化算法进行比较.
主要方法:
- 该研究提出了一个ISAOA,将合作学习与领导者解决方案结合起来.
- 该ISAOA在基准函数上进行了测试,并应用于电网中的TCSC分配.
- 在IEEE-30总线系统上对SAOA,人工生态系统优化器 (AEO),AQuila算法 (AQA),灰狼优化器 (GWO) 和粒子优化器 (PSO) 进行了性能评估.
主要成果:
- 在最初的测试中,ISAOA在标准SAOA上表现出明显的优势.
- 模拟证实了ISAOA在减少电力系统损失方面的有效性.
- 与GWO,AEO,PSO和AQA相比,ISAOA在三个案例研究中实现了更大的功耗损失减少.
结论:
- ISAOA是一种高效的进化技术,用于工程优化.
- ISAOA提供了一种优越的方法来优化TCSC的放置,以最大限度地减少电力系统的损失.
- 拟议的ISAOA为提高电网效率提供了一个有希望的方法.
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