ECONOMIC DISPATCH OF MICROGRID USING MODIFIED BIOGEOGRAPHY BASED OPTIMIZATION ALGORITHM

Microgrid has drawn increasingly consideration because of the huge advantages it can bring to traditional power system and local communities. The generation units in a microgrid can have different fuel utilization curves. The most proficiency ordinarily occurs when the generators are loaded at near rated capacity, with larger generators being typically more proficient than the smaller generators. Considering fuel consumption as the essential cost, each generation unit has a different cost function. With a specific end goal to limit fuel use, a more sophisticated dispatch approach is required. This paper uses the modified biogeography based optimization algorithm to develop a scheme for economic dispatch of generation units to loads in a microgrid. By using modified biogeography based optimization algorithm, the true optimum can be found in the sense of minimizing the fuel consumption. This is the most economic way of dispatching the generated power to loads. The main idea of this work is presented via numerical examples. The simulation results based on a standard test system demonstrate the effectiveness of the proposed algorithm. Simulation results based on the proposed method are compared with other existing algorithms, showing that our approach reduces the fuel usage compared to current standard methods