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首页> 外文期刊>International Journal of Electrical Power & Energy Systems >Designing SSSC, TCSC, and STATCOM controllers using AVURPSO, GSA, and GA for transient stability improvement of a multi-machine power system with PV and wind farms
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Designing SSSC, TCSC, and STATCOM controllers using AVURPSO, GSA, and GA for transient stability improvement of a multi-machine power system with PV and wind farms

机译：使用AVURPSO，GSA和GA设计SSSC，TCSC和STATCOM控制器，以改善具有光伏和风电场的多机电源系统的暂态稳定性

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摘要

In this paper, the effects of three FACTS controllers, static synchronous series compensator (SSSC), thyristor-controlled series compensator (TCSC), and static synchronous compensator (STATCOM), on the transient stability of a multi-machine power system in the presence of two 200 MW wind farms based on a doubly fed induction generator (DFIG) and a 120 MW photovoltaic (PV) solar plant are studied. Also, power system stabilizers (PSSs) are installed on four synchronous machines. It is generally accepted that there is a threat to the stability of power systems with the penetration of wind farm and PV plant. Therefore, in order to improve transient stability in the power system, this paper proposes the application of PI controllers in PV and wind farm controllers and a combination of PSS and FACTS controllers, whose coordination is very important. The design problems of the PSS, FACTS, and PI controllers are formulated as an optimization problem, and the adaptive velocity update relaxation particle swarm optimization (AVURPSO) algorithm, gravitational search algorithm (GSA), and genetic algorithm (GA) are employed to search for the optimal controller parameters. These three approaches identify the solution to a given objective function, but they employ different strategies and computational efforts. Therefore, a comparison of their performance is required.
机译：本文研究了三种FACTS控制器，静态同步串联补偿器（SSSC），可控硅控制串联补偿器（TCSC）和静态同步补偿器（STATCOM）对多机电源系统存在时的暂态稳定性的影响研究了基于双馈感应发电机（DFIG）和120 MW光伏（PV）太阳能发电厂的两个200 windMW风力发电场。此外，电力系统稳定器（PSS）安装在四台同步电机上。人们普遍认为，随着风电场和光伏电站的普及，对电力系统的稳定性构成威胁。因此，为了提高电力系统的暂态稳定性，本文提出了PI控制器在光伏和风电场控制器中的应用以及PSS和FACTS控制器的组合，它们的协调非常重要。将PSS，FACTS和PI控制器的设计问题公式化为一个优化问题，并采用自适应速度更新松弛粒子群优化（AVURPSO）算法，重力搜索算法（GSA）和遗传算法（GA）进行搜索以获得最佳控制器参数。这三种方法确定了给定目标函数的解决方案，但是它们采用了不同的策略和计算量。因此，需要对其性能进行比较。

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