A BCS-GDE multi-objective optimization algorithm for combined cooling, heating and power model with decision strategies

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