Abstract
The optimal integration of electrical units, such as distributed generation units, power electronic devices, and electric vehicles, is a significant development of smart grids. This development has effectively transformed the traditional grid system, promising numerous advantages for economic values and autonomous energy source control. In smart grids development, metaheuristic algorithms are one of the optimization algorithms that have been applied extensively to mitigate the accompanying problems such as voltage instability, power loss, and high installation cost. This paper presents a comprehensive review of metaheuristic techniques for the optimal integration of electrical units in distribution networks, considering different phases of the optimization process. These include the approaches for handling of crucial objective functions and the optimal integration methods for different electrical units. This review shows a need for more research on developing efficient metaheuristic algorithms and the effective handling of multiple objective functions.
Highlights
Metaheuristic optimization techniques have become quite popular for solving engineering problems due to peculiar reasons such as simplicity and flexibility
Results from the analysis show that the Teaching Learning-Based Optimization (TLBO) performs better than the Particle Swarm Optimization (PSO), Differential Evolution (DE), Whale Optimization Algorithm (WOA), Genetic Algorithm, and the Firefly algorithm
This paper reviewed the application of metaheuristic algorithms for solving the optimal integration problem and its dynamic implementation to solve objective functions
Summary
Metaheuristic optimization techniques have become quite popular for solving engineering problems due to peculiar reasons such as simplicity and flexibility. Metaheuristic algorithms are very dynamic such that they extensively search for a solution within a single objective or multi-objective space [5], [6] They have been applied heavily to solve the optimal integration of electrical units in distribution networks. Metaheuristic algorithms are used extensively because of their ability to produce near-optimal results in a computationally efficient manner They have been used for solving multiobjective optimization problems in the optimal integration of electrical units in distribution networks. This paper discusses the different categories of metaheuristic techniques, and their applications to the single and multiobjective problems in the optimal integration of electrical units in distribution networks.
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