Slime Mould Algorithm for Frequency Controller Design of a Two-area Thermal-PV Power System

In this study, a new implementation of the slime mould algorithm (SMA) is proposed to find the optimal parameters of proportional-integral (PI) controller and enhance the frequency stability in a two-area interconnected power grid combining thermal generator unit and photovoltaic (PV) system. Moreover, the design process of the considered power system takes the maximum power point tracking (MPPT) of the PV into its consideration. Furthermore, a time-domain based on the integral of time multiply absolute error (ITAE) is recognized for the robust design of the PI controller parameters exploiting the proposed SMA. The comparative results demonstrate the robustness of the proposed SMA-PI controller among all control methods (e.g. WOA-PI controller, GA-PI controller, and FA-PI controller) in terms of maximum undershoot, maximum overshoot, and maximum settling time under different operating condition (system parameters variations, and load disturbance).

I. Introduction

Frequency deviations consider an important issue in power system operation and security. It rises owing to various factors, the difference among the producing power electricity and demanding human requirements, the fast growth of renewable energy sources (RESs), and the parameters uncertainty. As well, such frequency deviations have an impact on the operation of the power grid. As a consequence, the reliability as well as the security of the power grid affected badly [1]. Furthermore, these deviations can be eliminated by applying different control techniques to the secondary control loop of the power grid [2].