Particle Swarm Optimization to solve Economic Dispatch considering Generator Constraints

------------------------------------------------------------ABSTRACT--------------------------------------------------------As we know that electrical energy plays a major role in day to day human life. It is not possible to imagine human life without electrical energy. This is because of the storage problem i.e. the electrical energy cannot be strong but is generated from natural sources and delivered as demand arises. An electrical engineer always tries to generate, transmit, and distribute the electrical energy at affordable cost while satisfying the constraints. Economic Dispatch is the process of allocation of optimal load to each committed generators while satisfying the equality and inequality constraints. The objective is to minimize the fuel cost by maintaining the generation power in limits and to reduce the computational time. The Economic Dispatch(ED) has been frequently solved by using classical optimization methods. In this proposed method the ED problem is formulated and solved by Particle Swarm Optimization technique. Three case studies are carried out on 6-unit and 15-unit systems. The solution is developed using MATLAB. Cost Generation is taken as an objective function and it is compared with the results of Genetic Algorithm (GA).