Dynamic response enhancement of grid‐tied ac microgrid using salp swarm optimization algorithm

Abstract

Summary To alleviate the overloads in the power system and to reduce the exponential growth in carbon dioxide (CO2) emissions, deployment of the renewable energy sources (RES) into the power system is the need of the hour. However, injecting these RES into the current power system network causes large voltage and power overshoots hence deteriorate the transient response and power quality of the overall power system. In this paper, an efficient solution of the above‐mentioned issues is explored by developing an optimal microgrid (MG) controller using one of the most modern and intelligent artificial intelligence (AI) techniques named the salp swarm optimization algorithm (SSA). The intelligence of the SSA is exploited to select the optimal controller gains and dc‐link capacitance value by minimizing a time integrating error fitness function (FF) which in‐turn enhances the dynamic response and power quality of the studied MG system. The proposed grid‐tied MG controller is designed to achieve the preset active and reactive power sharing ratio between distributed generator (DG) and utility grid during DG and load switching conditions. To validate the superiority of the proposed controller, its performance is compared with that of its precedent grasshopper optimization algorithm (GOA)‐based controller for the identical operating conditions and system configuration. The outcomes of the study show that the proposed MG controller outperforms its competitor in terms of transient response and quality of power.

A hybrid voltage‐current compensator using a synchronous reference frame technique for grid‐connected microgrid under nonlinear load conditions

“…28 The EVIR controls the voltage/current using power electronic devices; they are an actuator, exciter, generator, and sensor. 29 If we denote the rated voltage, rated current, measured voltage, output voltage, and output current of an EVIR system by…”

“…21 Hence, the proposed EVIR regulator assures to keep the system stable even in the presence of large parameter variations. 22,29…”

Novel Manta Rays Foraging Optimization Algorithm Based Optimal Control for Grid-Connected PV Energy System

“…Evidently, [28] showed that a better damped and transient performance is achieved using GWO. The quality improvement of PI parameter for the grid-connected PV system was discussed in [29,30]. The accuracy, reliability, and efficiency of both frequency and voltage were improved with minimal harmonic distortion using SSA.…”

“…To the level of the information available to the authors, MRFO has not been applied before to solve any optimization issues in renewable energy. Moreover, the fitness function solution of the MRFO approach developed over the employed algorithms in [32] and [29] motivates the authors to utilize this type of bioinspired optimization algorithm. The algorithm process depicts foraging characteristics of Manta rays, namely, the chain, cyclone, and summersault techniques, to develop a proficient optimization standard for solving unusual optimization problems.…”

Lypunov theory combined with small signal linearization for regulated operation of a hybridDC/ACmicrogrid

“…Integration of renewable energy resources into power grid, 1,2 has led to the microgrid development for more accurate regulation of both AC and DC state variables 3‐5 . Among microgrid configurations, the hybrid DC/AC microgrid has attracted high attentions from prospective control system design in recent years 6‐9 . Reference 10 has proposed a straightforward and effective strategy to solve the problem regarding the power injections of hybrid AC/DC microgrids.…”