Multi-objective optimal dispatch of CCHP system considering exergy loss and economic cost

Distributed combined cooling heating and power (CCHP) system develops as a novel energy supply way which achieves energy cascading utilization and increases the energy efficiency. In this study, mathematical models of a typical CCHP system considering both exergy loss and economic cost of each equipment are established. Multi-objective optimization is also conducted to optimize economic cost and exergy loss simultaneously by multi-objective particle swarm optimization (MOPSO) algorithm. The optimal solution is selected by grey decision-making approach. Compared with the conventional economic dispatching, the results indicate the proposed multi-objective dispatch is more efficient in a way.