Salp Swarm Optimization Algorithm-Based Controller for Dynamic Response and Power Quality Enhancement of an Islanded Microgrid

Abstract

The islanded mode of the microgrid (MG) operation faces more power quality challenges as compared to grid-tied mode. Unlike the grid-tied MG operation, where the voltage magnitude and frequency of the power system are regulated by the utility grid, islanded mode does not share any connection with the utility grid. Hence, a proper control architecture of islanded MG is essential to control the voltage and frequency, including the power quality and optimal transient response during different operating conditions. Therefore, this study proposes an intelligent and robust controller for islanded MG, which can accomplish the above-mentioned tasks with the optimal transient response and power quality. The proposed controller utilizes the droop control in addition to the back to back proportional plus integral (PI) regulator-based voltage and current controllers in order to accomplish the mentioned control objectives efficiently. Furthermore, the intelligence of the one of the most modern soft computational optimization algorithms called salp swarm optimization algorithm (SSA) is utilized to select the best combination of the PI gains (kp and ki) and dc side capacitance (C), which in turn ensures optimal transient response during the distributed generator (DG) insertion and load change conditions. Finally, to evaluate the effectiveness of the proposed control approach, its outcomes are compared with that of the previous approaches used in recent literature on basis of transient response measures, quality of solution and power quality. The results prove the superiority of the proposed control scheme over that of the particle swarm optimization (PSO) and grasshopper optimization algorithm (GOA) based MG controllers for the same operating conditions and system configuration.

Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review

“…Owing to the above-mentioned issues, recently SI techniques are used effectively to optimally tune the parameters of PI controllers in order to achieve the improved power quality and enhanced MG performance. In addition to the PI gains, the researchers have also optimized the value of droop coefficients [54], LC filter values [55] and the dc link capacitance value [37] in order to search for wider range of possible combination of system optimal parameters. It is worthwhile to mention that, increasing number of optimization variables increases the possible number of solutions and solution quality, however, it would increase the time consumption for the optimization process.…”

Salp Swarm Optimization Algorithm-Based Fractional Order PID Controller for Dynamic Response and Stability Enhancement of an Automatic Voltage Regulator System

“…Both ISE and ITSE are very violent criterions due to the squaring of error and, hence, produce impractical results. Further, compared to ITAE, IAE is also an inadequate choice, owing to the integration of the time multiplying error function, providing more realistic error indexing [30]. Therefore, the proposed algorithm uses ITAE as the fitness function to optimize the studied system's response.…”

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

“…The current research work only considers the technical design aspect of the ac MG with optimality of its dynamic response by SSA optimizer. Since the SSA algorithm has proved its competency in solving some of the very significant optimization problems like optimal voltage and frequency regulation of an islanded MG, dynamic response and stability enhancement of automatic voltage regulator and active and reactive power management of isolated renewable MG hence became the motivation for the current research work.…”