Optimal scheduling of CCHP microgrid considering real-time demand

By integrated management of distributed power sources, the cold-thermal power supply (CCHP) microgrid not only improves the efficiency of renewable energy utilization, reduces environmental pollution, but also ensures the stability of the system.Based on the uncertainty of each micro-source and the complexity of microgrid structure, A comprehensive real-time electricity demand optimization model based on the pre-day initial load demand, combined with electricity price incentive and user-side electricity comfort is proposed. The shift of load from peak to non-peak is realized, Multiobjective Optimization Algorithm Based on Genetic Algorithm. It is proved that the model makes the load demand curve obviously smooth and the output of each micro-source is relatively balanced, which proves that the model is scientific and effective.