基于 NNC 法和 DMC 算法的 CCHP 型微电网两阶段调度

The combination of combined cooling, heating and power (CCHP) and microgrid promotes the consumption of renewable energy. In order to improve the economy, environmental protection and stability of CCHP microgrid, a two-stage optimal dispatching model is proposed. The offline optimization stage is based on the demand response strategy, and the multi-objective model based on the normalized normal constraint method is established, and the optimal results are screened by the entropy-TOPSIS method. In the online optimization stage, a finite-time domain optimization model based on dynamic matrix control algorithm is established to track and optimize the offline optimization results with feedback correction to reduce the influence of uncertainty factors. Finally, a comparison scheme is designed to for analysis verify the effectiveness of the proposed optimization model. This work is supported by National Natural Science Foundation of China (Modeling Theory and Method of PHM Predictive Model Based on Transfer Learning, No.61963026).