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Performance Assessment of Fuzzy Logic Power System Stabilizer on North Benghazi Power Plant

机译：班加西北部电厂模糊逻辑电力系统稳定器的性能评估

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摘要

Fuzzy logic design has been implemented online to tune the power system stabilizer gain (KPSS). To assess the performance of the proposed technique, Benghazi North Power Plant (BNPP), at eastern Libyan network, has been utilized as a power system stabilizer (PSS) benchmark. The design considers different operating conditions and large disturbance. A selection of fuzzy rules is derived by means of system output power to tuneKPSS, whereas Particle Swarm Optimization technique (PSO) is exploited to calculate the PSS parameters offline according to real-time measurements of the considered plant. Several simulation scenarios have been conducted to show the effectiveness of the proposed PSS in damping of local and interarea modes of oscillation of one-machine infinite-bus system. The study also contains comparison between the proposed technique and conventional PSS (CPSS).
机译：在线执行模糊逻辑设计以调整电力系统稳定器增益（KPSS）。为了评估所提出技术的性能，位于利比亚东部电网的班加西北部电厂（BNPP）已被用作电力系统稳定器（PSS）基准。该设计考虑了不同的工作条件和较大的干扰。通过系统输出功率来调整KPSS来选择模糊规则，而粒子群优化技术（PSO）则根据所考虑工厂的实时测量来离线计算PSS参数。已经进行了几种模拟场景，以证明所提出的PSS在抑制一机无穷总线系统的局部和区域间振荡模式方面的有效性。该研究还包含了拟议技术与常规PSS（CPSS）之间的比较。

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