Study on Economic Dispatch of the Combined Cooling Heating and Power Microgrid Based on Improved Sparrow Search Algorithm

The reasonable and efficient use of the abundant biomass resources in rural areas has not been realized. Therefore, concept a combined cooling, heating, power (CCHP) microgrid system, considering pyrolysis gasification, developed by researchers. A gasification device can fully play role absorbing wind energy. Meanwhile, order to minimize operating cost each micropower supply unit, as well environmental pollution costs, researchers have also established an optimal scheduling model for CCHP microgrids, which uses sparrow search algorithm. In this paper, we improved upon traditional algorithm solve problems its uneven population distribution, poor global ability, risk falling into local optima, through development random walk (RSSA). First, sinusoidal chaotic map is used generate early-generation with uniform distribution space. Second, study add sharing factor discoverer’s optimization process enhance information research capability among individuals field. Finally, strategy form new participants improve algorithm’s skill locally searching locations. Taking grid-connected action case study, concluded that compared outcomes SSA, total costs incurred RSSA summer winter were reduced 2.2% 3.1%, respectively. Compared findings SSA algorithm, using under typical days 0.14% 0.13%, productiveness solving economic dispatch issues thus verified.