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ATC enhancement with SSSC-knowledge inference based intelligent controller tuning

机译:通过基于SSSC知识推理的智能控制器调整进行ATC增强

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The paper presents an analysis of an intelligent controller tuning for transmission line available transfer capability (ATC) enhancement employing coordinated control strategy of power system stabilizers (PSS) and Static synchronous series compensator (SSSC). A concept of Dynamic knowledge inference (DKI) mechanism has been proposed for tuning of PSS and SSSC to damp the inter-area oscillations. The optimal parameters of controllers have been derived from Knowledge domain developed using Gravitational Search Algorithm (GSA) and Firefly Algorithm (FA). In the present paper, SSSC has been used as a supplementary controller to assist PSS functionality when it fails to stabilize at certain operating conditions. A Sample six area system has been considered to demonstrate the effectiveness of the method proposed. The study demonstrates the controlled states response even with the operational shift.
机译:本文介绍了一种采用电力系统稳定器(PSS)和静态同步串联补偿器(SSSC)的协调控制策略对传输线可用传输能力(ATC)增强进行智能控制器调整的分析。提出了一种动态知识推理(DKI)机制的概念,用于调整PSS和SSSC以衰减区域间振荡。控制器的最佳参数已从使用重力搜索算法(GSA)和萤火虫算法(FA)开发的知识域中得出。在本文中,SSSC已被用作辅助控制器,以在某些操作条件下无法稳定时辅助PSS功能。已考虑使用样本六区域系统来证明所提出方法的有效性。该研究表明,即使在操作班次上,受控状态的响应也是如此。

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