Economic Load Dispatch Solution via MFPA Approach

The rapid population growth in both urban and rural areas has led to an increase in energy consumption. Therefore, each generator must operate to meet the needs of the population. Economic load management (ELD) aims to schedule economical generators in the power system to produce minimum operating costs. At large, each generators have different generation costs due to type of generators and different positions from the load center. Furthermore, generator output which is usually not at the optimum level with power demand will also result in increased generation cost. So, it is important to propose a most effective and cost-effective method in power generation. If the generator efficiency is not achieved, high power loss will occur. In this study, Mutated Flower Pollination Algorithm (MFPA) has been proposed as the ELD solution by determining the generation value for each generator unit to produce the minimum generation cost according to the power demand. MFPA method will be compared with the Evolutionary Programming (EP) method and the Flower Pollination Algorithm (FPA). IEEE 6-bus-3-generator power system was chosen as the test system and simulated using MATLAB. The results show that the MFPA show better performance than FPA and EP by producing total fuel cost as well as minimum amount of power loss in short iterations.