Combined Economic and Emission Dispatch of a Microgrid Considering Multiple Generators

Microgrids are standalone systems that increase power quality and bring economic, environmental, and technical benefits to consumers and utility. In islanded mode, demand and generation should always be balanced to ensure power quality and stability. The power imbalance is addressed by adjusting the power capacity of energy generation sources such as generators. However, incorporating microgrids significantly increases the system's capital and environmental costs. This paper solves the combined economic and emission dispatch problem, aiming to reduce peak loads and achieve minimum generation costs with emission reduction. Particle swarm (PSO) and genetic algorithm (GA) solvers are used to find the optimal operation of multiple generators. The results for a hybrid system with one generator give a comparatively better cost reduction of USD 25 per day than multiple generators. GA shows the least cost minimisation (9.4% less) for three generators while taking more run time compared to PSO.