Economic Load Dispatch Using the Conventional and Intelligent Methods

Abstract

This thesis introduces the importance of economic dispatch in a power system. Economic dispatch was the method use in allocate the output power of each generator in order to achieve the optimal dispatch to reduce fuel cost to the minimum. The thesis discusses how the economic dispatch problem can be solved by using the methods of Particle Swarm Optimization (PSO) and Lambda Iteration (LI). These two methods were applied in IEEE-30 busses systems. The system was tested on a few load demands to find out the total fuel cost, power losses and computational time. From the result obtained, comparison was made between )PSO & LI( methods to discover which produced the lower total cost in solving the ED problem. All the analysis was based on the transmission line losses constraint. Besides, the power limit constraint for generators will also be considered. From the results (PSO) able to produce lower fuel cost compared to (LI). As a conclusion, (PSO) was better accuracy in solving Economic Dispatch problem. Means that the use of (PSO) reduces the cost of petroleum fuel, which contributes to protecting the environment from pollution and damage caused by petroleum derivatives