基于模糊粒子群优化调谐控制器的PSS设计

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI:10.1109/EECSI.2018.8752920

E. A. Hakim, N. Kasan, N. Nurhadi

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引用次数: 0

摘要

研究了基于模糊控制器(FLPSS)设计的电力系统稳定器的实现。该方法的主要目的是稳定和改善同步电机的阻尼。以转速和有功功率偏差作为模糊控制器的输入。控制器的输出随后被转发到AVR。为了实现最优设置，将时间积分的最优准则乘以绝对误差(ITAE)。测试了该系统在小扰动、系统参数和加载条件下的性能。实验结果表明，该方法对抑制系统振荡是有效的。

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PSS Design Based on Fuzzy Controller with Particle Swarm Optimization Tuning

The research was conducted for implementating of PSS (Power system stabilizer) which was designed based on the fuzzy logic controller (FLPSS). This approach has a main purpose for stabilizing and improving the damping of synchronous machine. The speed and active power deviation were used as fuzzy controller’s inputs. The controller’s output was forwarded into AVR subsequently. In order to achieve optimal setting, the optimal criteria of the Integral of Time were multiplied by the Absolute Error (ITAE). The performance of the proposed PSS under small disturbances, system parameters and loading conditions was tested. The experiment’s results showed the usefulness of the specified method for damping out the system oscillations.

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2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

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