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Seeker optimized SVC-PID controller for reactive power control of an isolated hybrid power system

机译:Seeker优化的SVC-PID控制器,用于隔离式混合动力系统的无功功率控制

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摘要

The modeling and controlling approach of a stand-alone wind-diesel hybrid model has been focused in this paper while adopting coordinated tuning of static VAR compensator (SVC)-PID controller and power system stabilizer (PSS) for controlling the reactive power. Seeker optimization algorithm (SOA) has been used for tuning the parameters of the SVC-PID and PSS. To find out the optimal parameters of the studied model, the SOA has been implemented successfully. The synchronous generator (SG) is equipped with IEEE type-I excitation system along with dual input PSS like IEEE-PSS3B in the studied hybrid model. On-line performance analysis of the studied hybrid model is achieved by using Takagi-Sugeno fuzzy logic (TSFL) based controller. In real-time, the TSFL helps to track the accuracy of reactive power compensation for any sort of input disturbance. It is found that the proposed SOA-TSFL is more effective to get the nominal optimal parameters of SVC-PID and PSS for on-line optimal reactive power control and terminal voltage response of the investigated power system model. It has also been investigated that the performance of the proposed controller is effectively influenced by the transmission delay signal.
机译:本文主要研究了独立的风柴油混合动力模型的建模和控制方法,同时采用静态无功补偿器(SVC)-PID控制器和电力系统稳定器(PSS)的协调调整来控制无功功率。搜索者优化算法(SOA)已用于调整SVC-PID和PSS的参数。为了找出所研究模型的最佳参数,已经成功实施了SOA。在研究的混合模型中,同步发电机(SG)配备有IEEE I型励磁系统以及双输入PSS(如IEEE-PSS3B)。通过使用基于Takagi-Sugeno模糊逻辑(TSFL)的控制器,可以对所研究的混合模型进行在线性能分析。 TSFL可以实时跟踪任何类型的输入干扰的无功补偿精度。发现所提出的SOA-TSFL更有效地获得了SVC-PID和PSS的标称最优参数,用于所研究的电力系统模型的在线最优无功功率控制和终端电压响应。还已经研究了所提出的控制器的性能受到传输延迟信号的有效影响。

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