An improved cuckoo search algorithm for power economic load dispatch

Abstract

Summary The cuckoo search (CS) algorithm is a simple and effective global optimization algorithm. It has been successfully applied to solve a wide range of real‐ world optimization problem. In this paper, a modified CS algorithm is applied to determine the feasible optimal solution of the economic load dispatch problem considering various generator constraints. In order to solve the problem of being trapped into the local optima, a new mutation scheme, inspired by the DE/current‐to‐gr_best/1, is incorporated in standard CS to enrich the searching behavior and solution quality and to avoid being trapped into local optimum. In order to verify the performance of our approach, the proposed approach is tested with two power system cases consisting of 3, 6, 15, and 40 thermal units with generator constraints. State‐of‐the‐art optimization techniques are compared with simulation results obtaining proposed method to illustrate the efficiency of the proposed method and to show that the improved CS could be used as a reliable tool for solving economic load dispatch problems with generator constraints. Copyright © 2014 John Wiley & Sons, Ltd.

Multi-objective optimization in the presence of practical constraints using non-dominated sorting hybrid cuckoo search algorithm

“…[10], and CSA [55] techniques in solving single objective optimization problems. The optimal parameters for the Booths function are given in Eq.…”

“…CSA is a new meta-heuristic optimization method [55,56] inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other birds of other species. When the host birds discover an alien egg in their nest, they can throw it away or simply abandon their nest and build a new one elsewhere.…”

“…In this paper, a new algorithm is proposed incorporating arithmetic crossover into a conventional cuckoo search algorithm (CSA) [55,56], which we have called the hybrid cuckoo search algorithm (HCSA). The applicability and performance of the proposed method is analyzed in terms of convergence rate and the quality of the solution.…”

A novel multi-objective approach based on improved electromagnetism-like algorithm to solve optimal power flow problem considering the detailed model of thermal generators

“… POZs : There are some POZs in the nominal power range of some generators, which is mainly because of protecting machine shaft and other connected utilities from harsh vibrations. The POZs constraint can be modeled as follows: where and are the lower and upper boundaries of the POZ z of generating unit i in MW, respectively. Besides, N P zi is the number of POZs of generator i .…”

Solution to Economic Load Dispatch with Valve Point Loading Effect using Hybrid Whale Optimization Algorithm

“…In this manner, in earlier years, different evolutionary, heuristic and meta-heuristics algorithms have been framed from different regular marvels, for example, Differential Evolution (DE) [4], Genetic Algorithm (GA) [1] [5], Tabu search [6], Particle swarm optimization (PSO) [3][7] [8], Bacterial forging hybrid with particle swarm optimization [9], Biography Based Optimization algorithm(BBOA) [10], Krill herd algorithm (KHA) [11] [12], Artificial Bee Colony optimization(ABC) [13], Firefly Algorithm(FA) [14][15] [16], Cuckoo Search (CS) [17][18] [19], Whale Optimization Algorithm(WOA) [20] [21], for the purpose of solving ELD problems.…”