Economic Dispatching of CCHP Microgrid Considering Grid-connected Revenue

In view of the fact that combined cooling, heating and power (CCHP) microgrid can effectively improve the permeability of clean energy and reduce the cost of micro-sources, an economic dispatching model for the CCHP microgrid is established in this paper. The model is aimed at minimizing the cost of power generation and environmental governance under the premise of considering the highest grid-connected revenue. Multi-agent chaotic particle swarm optimization(MACPSO) algorithm is used to solve the model to obtain the optimal solution and the optimal output schemes of micro-sources. Finally, one CCHP microgrid in China is selected for simulation as case study to analyze the influence of microgrid joining CCHP system under grid-connection conditions on the optimization results. Then, the MACPSO algorithm is applied to obtain the optimal solution of the total generation cost, and the reliability of the proposed method is verified by comparative analysis.