In this paper, a STATCOM (static synchronous compensator) is used to encounter the potential SSR (subsynchronous resonance) observed by IG (Induction Generator) based series compensated wind farms. The basic controller used for STATCOM control is identical to that of the literature. An idea of a unique meta‐heuristic swarm‐based optimization technique called BFOA (bacterial foraging optimization algorithm) based optimal‐controller is introduced for optimal parameter selection of the basic controller used in the control scheme of the STATCOM. The investigation is carried out with 500 MW IG‐based wind farm exposed to three‐phase LLL‐G fault close to the PCC (point of common coupling) and implemented with MATLAB in both steady and transient states for the three different cases, namely, without STATCOM, with the basic STATCOM controller, and in the presence of the proposed BFOA‐optimal controller‐based STATCOM. In both the states, the observed eigenvalues of the test system, together with the time domain results of the generator rotor dynamics for three distinct cases, reveals the effectiveness of the suggested BFOA‐optimal controller tuned STATCOM in mitigating the potential SSR.

中文翻译：

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通过使用BFOA最优控制器调整的STATCOM减轻次同步扭振，增强基于感应发电机的串联补偿风力发电厂的稳定性

在本文中，STATCOM（静态同步补偿器）用于遇到基于IG（感应发电机）的串联补偿风电场观测到的潜在SSR（次同步谐振）。用于STATCOM控制的基本控制器与文献中的相同。介绍了一种独特的基于元启发式群优化技术的思想，称为基于BFOA（细菌觅食优化算法）的最优控制器，用于STATCOM控制方案中使用的基本控制器的最优参数选择。该研究是在500 MW IG风力发电场进行的，该风力发电场暴露于靠近PCC（公共耦合点）的三相LLL-G故障，并针对三种不同情况在稳态和瞬态下均使用MATLAB实施，即：如果不使用STATCOM，而使用基本STATCOM控制器，并建议使用基于BFOA的最佳控制器的STATCOM。在这两种状态下，测试系统的观察到的特征值，以及在三种不同情况下发电机转子动力学的时域结果，揭示了建议的BFOA最优控制器调谐STATCOM在减轻潜在SSR方面的有效性。