In this paper, the Sub-synchronous Resonance Constrained Optimal Power Flow (SSRCOPF) problem is articulated, for stable and economic operation of series compensated power system. Further, Reconciled Pack Dominance based Grey Wolf Optimisation (RPD-GWO) is proposed to solve SSRCOPF problem. Due to the colossal increase in demand, transmission lines are stressed by overloading. To alleviate this stress, often series compensation by Thyristor Controlled Series Capacitor (TCSC) is used. However, due to unintended operation of TCSC there is a possibility of Sub-synchronous Resonance (SSR). Hence, SSR constraint is infused into Optimal Power Flow (OPF) and termed as SSRCOPF. The proposed SSRCOPF ensures optimal system operation, while circumventing the entrapment into SSR condition. To solve the SSRCOPF problem the proposed RPD-GWO algorithm is employed and analysed with Particle Swarm Optimisation (PSO). The comparative analysis of proposed RPD-GWO algorithm reveals its swiftness in convergence.

中文翻译：

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使用基于 Reconciled Pack Dominance 的 Gray Wolf 优化的次同步共振约束 OPF

在本文中，为了串联补偿电力系统的稳定和经济运行，阐述了次同步谐振约束最优潮流 (SSRCOPF) 问题。此外，提出了基于 Reconciled Pack Dominance 的灰狼优化 (RPD-GWO) 来解决 SSRCOPF 问题。由于需求的大量增加，输电线路因过载而受到压力。为了减轻这种压力，通常使用晶闸管控制串联电容器 (TCSC) 进行串联补偿。然而，由于 TCSC 的意外操作，存在次同步谐振 (SSR) 的可能性。因此，SSR 约束被注入到最优潮流 (OPF) 中并被称为 SSRCOPF。提议的 SSRCOPF 可确保最佳系统运行，同时避免陷入 SSR 条件。为了解决 SSRCOPF 问题，采用了所提出的 RPD-GWO 算法，并使用粒子群优化 (PSO) 进行了分析。对提出的 RPD-GWO 算法的对比分析表明其收敛速度很快。