A Novel Economic Dispatch in Power Grids Based on Enhanced Firework Algorithm

Abstract

This paper proposes a novel single objective optimization technique for economic dispatch (ED) in power grids. This new technique is developed based on firework algorithm (FWA) and is implemented in the IEEE 24 bus reliability test system. In this paper, the single-objective enhanced fireworks (EFWA) is developed to find the economic operating condition to minimize the generation cost. This method is a swarm intelligence algorithm that solves a single-objective optimization problem much faster than other well-known algorithms such as genetic algorithm (GA). The experimental results show that the proposed EFWA method is indeed capable of obtaining higher quality solutions efficiently in ED problems.

Optimal Placement of FACTS Devices Using Filter Feeding Allogenic Engineering Algorithm

“…There has been continuous and sustained effort to develop new meta-heuristic optimization methods. Recent examples include immune algorithm [41], lightning flash algorithm [42] teaching-learning based optimization algorithm [43], symbiotic organism search algorithm [44], enhanced firework algorithm [45], modified differential evolution [46], adaptive charged system search algorithm [47], distributed auction optimization algorithm [48], water cycle algorithm [49],mine blast algorithm [50], Grey wolf optimizer (Jurado 2018) and the adaptive grass hopper optimization algorithm [51] and [52]).…”

Filter feeding allogenic engineering optimization algorithm for economic dispatch

“…There has been continuous and sustained effort to develop new heuristic optimization methods inspired by the behaviour of natural organism and plants, natural occurrences and various laws of science. Good recent examples include immune algorithm [30], lightning flash algorithm [31] teaching-learning-based optimization algorithm [32], symbiotic organism search algorithm [33], enhanced firework algorithm [34], modified differential evolution [35], adaptive charged system search algorithm [36], distributed auction optimization algorithm [37], water cycle algorithm [38] and mine blast algorithm [39]. Development of new hybrid methods such as the immune evolutionary programming has also grown [40].…”