基于花授粉算法的发电系统PSS调谐

M. Djalal, Sonong Sonong
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引用次数: 1

摘要

本研究针对Soppeng地区的Pajalesang发电机,提出了一种基于花朵授粉算法(FPA)的智能方法来调整电力系统稳定器(PSS)的方法。观测结果是扰动情况下速度和转子角度的偏差响应。作为对该发电系统的干扰的案例研究是0.05 pu的负载添加。结果表明,在没有PSS的情况下,速度偏差响应为0.01152 pu至-0.0248 pu,使用PSS试验为0.007014 pu至-0.02174 pu,使用PSSBat算法为0.003972 pu至-0.01865 pu,使用所提出的PSS-flower算法为0.002149 pu至-0.01678 pu。转子角度响应显示出更好的结果,减少了振荡并迅速进入稳态条件。帕贾莱桑柴油发电厂的性能随着FPA PSS的安装而提高,参数分别为Kpss=8.5956、T1=0.0247、T2=0.2484、T3=0.4776和T4=0.827。
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PSS Tuning on Power Generator System using Flower Pollination Algorithm
This research proposed a tuning method of power system stabilizer (PSS) using an intelligent method based on flower pollination algorithm (FPA) on Pajalesang generator located in Soppeng district. The observed result is the deviation response of velocity and rotor angle in case of disturbance. The case study used as the disturbance to this generator system is a load addition of 0.05 pu. The results show that velocity deviation response without PSS is 0.01152 pu to -0.0248 pu, using PSS trial is 0.007014 pu to -0.02174 pu, using PSS bat algorithm is 0.003972 pu to -0.01865 pu, and using the proposed method of PSS flower algorithm is 0.002149 pu to -0.01678 pu. The rotor angle response shows better results with reduced oscillation and rapidly leading to the steady-state condition. The performance of Pajalesang diesel power plant increased with the installation of FPA PSS, with parameters respectively Kpss=8.5956, T1= 0.0247, T2=0.2484, T3=0.4776, and T4=0.8827.
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审稿时长
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