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首页> 外文期刊>Iranian Journal of Science and Technology, Transactions of Electrical Engineering >Solution of the Optimal Power Flow Problem Considering FACTS Devices by Using Lightning Search Algorithm
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Solution of the Optimal Power Flow Problem Considering FACTS Devices by Using Lightning Search Algorithm

机译:用闪电搜索算法求解考虑FACTS装置的最优潮流问题

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In this study, the optimal power flow (OPF) problem including flexible AC transmission systems (FACTS) devices, ever increasing in the planning and operating of the modern power systems has been addressed. The thyristor-controlled series capacitor and the thyristor-controlled phase shifter are used as FACTS devices. The solution to this problem is proposed by using a new heuristic algorithm known as the lightning search algorithm (LSA) based on the phenomenon of lighting. The LSA method is generalized from the mechanism of step leader propagation. The performance, success and robustness in the solution of this problem of the LSA are evaluated and tested on IEEE test systems, which are the modified IEEE 30-bus and IEEE 57-bus test systems. The multi-objective functions are used in the solution analysis processes of this problem. These objective functions are defined as the minimization of the fuel cost, minimization of the emission and minimization of the active power loss of the test system. The numerical results of the LSA are compared to different methods presented in the recent literature, which are ant lion optimizer, grey wolf optimizer, dragonfly algorithm, moth-flame optimization. The outcomes obtained from simulation study indicate the potential of the LSA method in solving the OPF problem including FACTS devices for operating and planning of the modern power systems.
机译:在这项研究中,解决了包括现代交流系统的规划和运行中不断增加的包括柔性交流输电系统(FACTS)设备在内的最佳潮流(OPF)问题。晶闸管控制的串联电容器和晶闸管控制的移相器用作FACTS器件。通过使用一种新的启发式算法,即基于光照现象的闪电搜索算法(LSA),提出了该问题的解决方案。 LSA方法是从步长传播的机制中概括出来的。在改进的IEEE 30总线和IEEE 57总线测试系统IEEE测试系统上评估和测试了LSA解决此问题的性能,成功性和鲁棒性。在此问题的解决方案分析过程中使用了多目标函数。这些目标函数定义为燃料成本最小化,排放最小化和测试系统的有功损耗最小化。将LSA的数值结果与最新文献中介绍的不同方法进行了比较,这些方法是蚂蚁优化器,灰狼优化器,蜻蜓算法,飞蛾优化。通过仿真研究获得的结果表明,LSA方法在解决OPF问题(包括用于现代电力系统的运行和计划的FACTS设备)方面的潜力。

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