Environmental Economic Load Dispatch with Quadratic Fuel Cost Function Using Cuckoo Search Algorithm

Abstract

In this paper, a Cuckoo Search Algorithm (CSA)

Improved Firefly Algorithm: A Novel Method for Optimal Operation of Thermal Generating Units

“…The comparisons of search speed have not been carried out. The performance of cuckoo search algorithm (CSA) [14,15] and improved cuckoo search algorithm (ICSA) [16] have been shown clearly since different types of constraints were considered and wide comparisons were implemented. However, the speed comparisons have been made only via execution time, leading to not good comparison criteria for conclusion.…”

Economic Load Dispatch with Multiple Fuel Options and Valve Point Effect Using Cuckoo Search Algorithm with Different Distributions

“…Conventional CSA has been successfully used for solving economic load dispatch problem in [15][16] and emission economic load dispatch in [17]. The method is slightly modified by using other distributions, Cauchy and Gaussian distributions and bound by best solution mechanism for handling power balance constraint.…”

“…Recently, CSA has been successfully applied for solving non-convex economic dispatch (ED) problems considering generator and system characteristics including valve point loading effects, multiple fuel options, prohibited operating zones, spinning reserve and power loss [15]. In addition, CSA has been also used for solving the ED and micro grid power dispatch problems [16], economic emission dispatch problems [17], short-term hydrothermal scheduling problems [18] and photovoltaic system [19]. For these problems, CSA has been tested on many systems and obtained better solution quality than several methods in the literature such as HNN, GA, EP, Taguchi method, biogeography-based optimization (BBO), PSO, DE, and Tabu search.…”

“…The advantages of CSA with Gaussian distribution (called CSA-Gauss) and Cauchy distributions (called CSA-Cauchy) over CSA with Lévy distribution (called CSA-Lévy) in [14][15][16][17][18] not only are fewer equations and fewer control parameters but also reduce a step of evaluating fitness function value. The effectiveness of the proposed CSA has been tested on two systems where valve point effect considered with several load cases and the obtained results have been compared to those from other methods available in the literature.…”

Minimization of Fuel Cost and Emission for Thermal Units by Using an Effective Meta-heuristic Algorithm

“…Consequently, the purpose of minimization of both fuel cost and emission has a significantly high role in the power systems. Due to the importance of the problem, a huge number of researchers have been attracted and published a lot of papers so far such as Hopfield Neural Network (HNN) [1], Improved Hopfield Neural Network Model (IHNN) [1], Tabu Search (TS) [2], fuzzy logic controlled genetic algorithm (FCGA) [3], the Non-dominated Sorting Genetic Algorithm -II (NSGA-II) [4], Differential Evolution (DE) [5], Genetic algorithm (GA) [6], Particle swarm optimization (PSO) [6], biogeography-based optimization (BBO) [7], pareto differential evolution (PDE) [8], nondominated sorting genetic algorithm-II (NSGA-II) [8], strength pareto evolutionary algorithm 2 (SPEA 2) [8], Hybrid Differential evolution-sequential quadratic programming (DE-SQP) [8], Hybrid Particle Swarm optimization-sequential quadratic programming (PSO-SQP) [9], parallel synchronous PSO algorithm (PSPSO) [10], ABC_PSO [11], multi-objective cultural algorithm (MOCA) [12], Basic Cuckoo Search Algorithm (CSA) [13], Lambda method (LM) [14], Hopfield Lagrange Network (HLN) [14], flower pollination algorithm (FPA) [15], Bat algorithm [16], modified Bat algorithm (MBA) [16], and gravitational search algorithm (GSA) [17]. Among these considered methods, IHNN [1], LM [14] and HNN [14] belong to the family of deterministic algorithms where other ones are included in the meta-heuristic algorithms.…”