International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 02 | Feb -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1398 A novel approach for solving Optimal Economic load dispatch problem in power system with emissions using Meta Heuristics based Lion Optimization Algorithm Govind Singh Raghuwanshi 1 , Mrs. Dr. Poonam Sinha 2 , Mr. Jay Narayan Thakre 3 1 Department of I.T., UIT, Barkatullah University, Bhopal (M.P.), India 2 ( Professor, Department of Electronics, UIT, Barkatullah University, Bhopal (M.P.), India) 3 (Asst. Professor, Department of I.T., UIT, Barkatullah University, Bhopal (M.P.), India) ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Lion Optimization algorithm simulates the lion pride behavior based on lion pride evolution process and group living. The alarming environmental impacts from the emission produced by the conventional fossil fuel power plants, has converted the classic economic load dispatch that minimizes only the total fuel cost into a multi objective function. The Lion Optimization algorithm strategy is based on mathematical modeling to solve economic, emission and combined economic & emission dispatch problems by a single equivalent objective function. In this work LOA is used for solving economic load dispatch problem and the result produced by LOA algorithm are compared with the result obtained by other optimizing techniques like Particle Swarm Optimization, Genetic Algorithm Optimization, etc. Results shows that LOA has better performance than other bio inspired algorithms on both unimodal and multimodal optimization problem. LOA is robust and it is affected by pride update strategy and brutal competition of individuals Key Words: Economic Emission load Dispatch, Lion Optimization Algorithm, pride, Survival of Fittest. 1. INTRODUCTION In today Ǯs world everyone is most concerned about cost he/she is paying for purchase of any commodity as well as environment impact of producing that commodity and thus primary objective in the planning and operation of power systems is not only to provide reliable and quality power to consumers but also at economical cost with less carbon footprints. The increasing energy demand and the decreasing energy resources have made optimization a great necessity in power system operation and planning. Economic Load Dispatch (ELD) is essentially an optimization scheme of computing the best generation schedule to supply a predetermined load, with minimum cost while satisfying the essential constraints like power balance and generation limits.. Thermal power stations are a major cause of atmospheric pollution, due to the high concentration of pollutants emitted. Currently, with the increasing awareness of environmental pollution caused by burning fossil fuels, controlling the amount of pollutant emission is also a major criterion in the economic dispatch problem. The purpose of Emission Economic Load Dispatch (EELD) is to obtain the optimal generation schedule by minimizing the fuel cost and the emission level simultaneously while satisfying load demand and other operational constraints. Several deterministic optimization approaches were proposed to solve the traditional ELD problem, including like lambda iteration method, gradient-based method, Bundle method [2], nonlinear programming [3], mixed integer linear programming [4], dynamic programming (DP) [6], linear programming (LP) [7], quadratic programming (QP)[9], Lagrange relaxation method (LR) [8], Newton-based techniques [10], reported in the literature are used to solve economic load dispatch problem but these methods require enormous efforts in terms of computation and workable on ideal systems only with continuous functions. Many meta-heuristic algorithms have recently shown the efficiency in dealing with many non linear optimization constrained problems for finding the optimal solution in various engineering problems evolutionary programming (EP) [11], simulated annealing (SA) [12], Tabu search (TS) [14], pattern search (PS) [15], Genetic algorithm (GA) [16], Differential evolution (DE) [17], Ant colony optimization [18], Neural network [19], particle swarm optimization (PSO) [20]. In this paper Lion Optimization Algorithm is being proposed to solve constrained engineering problems is proposed by B R Rajkumar [21] and Until now many researches have been carried out to find the solution of optimization problem using LOA like community detection problem by Baber[22] and it was inferred that the LOA is more robust and efficient in determining the optimization. 2. PROBLEM FORMULATION The mathematical modeling of power generation considers total cost of operation includes the fuel cost, cost of labour, supplies and maintenance. Generally, costs of labour, supplies and maintenance are fixed percentages of incoming fuel costs. The power output of fossil plants is increased sequentially by opening a set of valves to its steam turbine at the inlet. The throttling losses are large when a valve is just opened and small when it is fully opened. The cost is usually approximated by one or more quadratic segments. The present formulation treats the environmental economic dispatch problem as a multi-modal optimization problem which simultaneously optimizes various related objectives as