The power systems become operate closer to loadability limits; hence, the power systems static voltage stability assessment becomes an essential task in planning and operating for electric power systems to prevent voltage instability. In this paper, the improved moth flame optimization (IMFO) technique is applied for optimal location and size of (TCSC) with the aim of reducing load shedding, preventing voltage collapse, and enhancing the power system loadability. IMFO is developed to avoid the stagnating in local optima and improve the convergence characteristics of the conventional moth flame optimization. The loadability of the system is obtained using continuation power flow (CPF). The proposed approach is formulated by merging CPF with IMFO incorporated with TCSC. Multi-objective function is solved for minimization of loadability, load shedding, voltage stability index, and severity index. A contingency analysis is implemented on power system as two scenarios: The first scenario is outage of generator and the second scenario is outage line. Placement of TCSC has been determined by power flow analysis. The developed approach is tested on standard IEEE-30 bus system in normal operation, and contingency cases of generator and bus outage. The IMFO is compared to recent and well-known optimization techniques. The results reveal the efficiency of the proposed algorithm to reduce load shedding, continuous energy service to the customers and prevent occurrence of voltage collapse.

中文翻译：

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基于改进飞蛾火焰优化算法的 TCSC 分配提高电力系统负载能力和优化减载

电力系统变得更接近负载能力极限；因此，电力系统静态电压稳定性评估成为电力系统规划和运行以防止电压不稳定的一项重要任务。本文采用改进飞蛾火焰优化(IMFO)技术优化TCSC的位置和大小，以减少甩负荷、防止电压崩溃和提高电力系统的负载能力。IMFO的开发是为了避免局部最优的停滞，改善传统飞蛾火焰优化的收敛特性。系统的负载能力是使用持续潮流 (CPF) 获得的。提议的方法是通过将 CPF 与 IMFO 与 TCSC 合并来制定的。解决了多目标函数以最小化负载能力，减载、电压稳定指数和严重性指数。对电力系统进行应急分析，分为两种情况：第一种情况是发电机停电，第二种情况是停电线路。TCSC 的位置由潮流分析确定。所开发的方法在标准 IEEE-30 总线系统上在正常运行以及发电机和总线中断的应急情况下进行了测试。IMFO 与最近和众所周知的优化技术进行了比较。结果揭示了所提出的算法在减少减载、为客户提供持续能源服务和防止电压崩溃发生方面的效率。TCSC 的位置由潮流分析确定。所开发的方法在标准 IEEE-30 总线系统上在正常运行以及发电机和总线中断的应急情况下进行了测试。IMFO 与最近和众所周知的优化技术进行了比较。结果揭示了所提出的算法在减少减载、为客户提供持续能源服务和防止电压崩溃发生方面的效率。TCSC 的位置由潮流分析确定。所开发的方法在标准 IEEE-30 总线系统上在正常运行以及发电机和总线中断的应急情况下进行了测试。IMFO 与最近和众所周知的优化技术进行了比较。结果揭示了所提出的算法在减少减载、为客户提供持续能源服务和防止电压崩溃发生方面的效率。