International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 07 Issue: 09 | Sep 2020
p-ISSN: 2395-0072
www.irjet.net
ECONOMIC LOAD DISPATCH USING ARTIFICIAL BEE COLONY OPTIMIZATION Abhishek Soni1, Hariom Mishra2, Vikas Kumar Koli3, Rahul Koli4 1-4Dept. Electrical
Engineering, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh , India, ---------------------------------------------------------------------***----------------------------------------------------------------------
ABSTRACT - In this paper Artificial Bee Colony Algorithm is proposed to seek out the answer of Economic Load Dispatch problem (ELD). The aim of ELD is to attenuate the dispatch cost while satisfying generating unit and system equality and inequality constraints. The ABC is population based metaheuristic algorithm that replicate the behaviour of honey bee swarms. To determine the efficiency and effectiveness of ABC, it’s been tested on 6 unit, 18 unit and 20 unit data. The simulation results indicates that the proposed ABC algorithm gives better statistical solution with very high probability to demonstrate its robustness over other intelligent techniques such as differential evaluation (DE), artificial colony optimization (ACO), hybrid swarm intelligent based harmony search algorithm (HHS) and fuzzy adaptive chaotic ant swarm optimization (FCASO). The proposed ABC ensures convergence within least execution time and provides best solutions as compared to other algorithm. Key Words: Economic Dispatch(ED), Artificial Bee Colony Optimization(ABC), Metaheuristic Algorithm, Problem Formulation, Genetic Algorithm(GA). 1. INTRODUCTION The power system Economic load dispatch methods gives the output of different generating units so as to meet the demand of the system at minimum cost while satisfying the generation limits as well as other equality and inequality constraints present within the system. This method also increases reliability of the system. Main objective of this method is to minimize the nonlinear function which in turn would decrease the cost of operating the power system. Since there is urgent need to conserve fossil fuelsand due to environmental issues these genetic algorithms (GA) are laid importance in this digital era.In this paper Ant Bee Colony (ABC) method has been proposed to unravel economic load dispatch problem. This method is inspired by behavior of honey bees. This method is employed on three cases which consists of 6units, 18 units and 20 units of generating stations. Results show that this method is reliable and may easily handle complex problems of powers system in efficient manner. 2. OVERVIEW ARTIFICIAL BEE COLONY The technique is meta-heuristic search algorithms utilized in solving numerous combinational optimization problems Swarm based algorithm ABC based a stochastic search algorithm which imitates the scrounging behaviour of honeybees. Feature Selection helps to hurry up the method of classification by extracting the relevant and useful information from the dataset means the colony of artificial bees consists of three groups of bees: employed bees, on lookers and scouts. Some of the bee of colony consists of employed artificial bees and the some includes the on lookers. In other words, the number of employed bees is equal to the number of food sources around the hive. The employed bee whose food source has been abandoned becomes a scout. In ABC algorithm the position of food source determines the solution and the amount of nectar represents the fitness of the respective solution. 2.1 Steps in Algorithm Step1: Initialization A randomly distributed initial population solutions (Xi = 1, 2... D) is being dispersed over the D dimensional problem space. Step 2: Reproduction An artificial onlooker bee chooses a food source depending on probability value associated with food source, Pi, calculated by following expression
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