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Optimal tuning of PID controller for LFC of two area power system (PV-diesel) using bio-inspired optimization algorithms

机译:基于生物启发的优化算法,对两区域电力系统(PV柴油)的LFC的PID控制器进行优化调整

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摘要

This work presents a methodology for optimal parameter tuning of PID controller for frequency regulation in PV-Diesel two area power system. The gains of PV generator and diesel generator are optimized in a coordinated manner by employing biologically inspired optimized algorithms like Bat Algorithm (BA) and Firefly Algorithm (FA). Transfer function model of the diesel generator is interfaced with the photovoltaic system to create a two area hybrid power system. Load frequency control (LFC) of this two area hybrid power system is achieved by minimization of the objective function at different step load perturbation using optimization algorithms. Finally an analysis is carryout based on the obtained results. The simulation/coding of the entire system is performed in the MATLAB R2010a environment.
机译:这项工作提出了一种用于PV柴油两区电力系统中频率调节的PID控制器最佳参数调整的方法。通过采用生物启发的优化算法,如蝙蝠算法(BA)和萤火虫算法(FA),以协调的方式优化光伏发电机和柴油发电机的增益。将柴油发电机的传递函数模型与光伏系统连接,以创建两区混合动力系统。通过使用优化算法将目标函数在不同阶跃负载扰动下最小化,从而实现了该两区域混合动力系统的负载频率控制(LFC)。最后,根据获得的结果进行分析。整个系统的仿真/编码在MATLAB R2010a环境中执行。

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