A PSO Based Control Strategy for Combined Emission Economic Dispatch with Integrated Renewables

Combined emission economic dispatch with the effective integration of renewable energy sources for a power system is a unique problem with various challenges. The increasing integration into the power grid of renewable energy sources (RES), such as wind and solar, is becoming more prevalent and this trend is expected to continue. However, the intermittent behaviour of these renewable energy sources poses a significant challenge for power systems in terms of dispatchability and the ability to maintain stable grid operation. We propose and implement a particle swarm optimization (PSO) based technique to control each independent region of a power system. The PSO control strategy will coordinate and schedule the renewable energy resources (wind and solar) and conventional generators for each region. A cost function is optimized, and the operating cost for the power system is calculated based on the fitness of each particle. All proposed strategies and algorithms are implemented using MATLAB and validated using the IEEE-39 bus system model.