The Flexible AC Transmission System (FACTS) devices are being commissioned in electrical power systems across the globe owing to the vast array of benefits they offer. The optimal performance of the FACTS devices can be harnessed only if they are installed at a strategic location. In this paper, the authors suggest the merit of multiobjective cuckoo search (MOCS) algorithm in mitigation of transmission losses by strategically installing unified power flower controller (UPFC) at an optimal location. Active power loss and reactive power loss reduction is the multiobjective optimization considered for the study. The Pareto-optimal technique is employed to extract the Pareto-optimal solution for the multiobjective problem considered. The Fuzzy logic method is utilized to yield the best-compromise solution from the pool of Pareto-optimal solution. The proposed approach is tested on a standard IEEE 30 bus test system. Furthermore, the efficacy of the MOCS algorithm is demonstrated by comparing the results with that of multiobjective particle swarm optimization (MOPSO).

由于柔性交流传输系统（FACTS）提供的众多优势，它们正在全球的电力系统中进行调试。只有将FACTS设备安装在重要位置，才能发挥其最佳性能。在本文中，作者提出了通过在最佳位置策略性地安装统一功率花控制器（UPFC）来减轻传输损失的多目标布谷鸟搜索（MOCS）算法的优点。有功功率损耗和无功功率损耗减小是研究中考虑的多目标优化。采用帕累托最优技术为考虑的多目标问题提取帕累托最优解。模糊逻辑方法用于从帕累托最优解库中得出最佳妥协解。所提出的方法在标准IEEE 30总线测试系统上进行了测试。此外，通过将结果与多目标粒子群优化（MOPSO）的结果进行比较，证明了MOCS算法的有效性。