  District energy systems can not only reduce energy consumption but also set
energy supply dispatching schemes according to demand. In addition to economic
cost, energy consumption and pollutant are more worthy of attention when
evaluating combined cooling, heating and power (CCHP) models. In this paper,
the CCHP model is established with the objective of economic cost, primary
energy consumption, and pollutant emissions. The mathematical expression of the
CCHP system is proposed, and a multi-objective optimization model with
constraints is established. According to different usage requirements, two
decision-making strategies are designed, which can adapt to different
scenarios. Besides, a generalized differential evolution with the best
compromise solution processing mechanism (BCS-GDE) algorithm is proposed to
optimize the CCHP model for the first time. The algorithm provides the optimal
energy scheduling scheme by optimizing the production capacity of different
capacity equipment. The simulation is conducted in three application scenarios:
hotels, offices, and residential buildings. The simulation results show that
the model established in this paper can reduce economic cost by 72%, primary
energy consumption by 73%, and pollutant emission by 88%. Concurrently, the
Wilcoxon signed-rank test shows that BCSGDE is significantly better than
OMOPSO, NSGA-II, and SPEA2 with greater than 95% confidence.
