A multi-time scale rolling optimization framework for low-carbon operation of CCHP microgrids with demand response integration.

ABSTRACT: Microgrid systems incorporating carbon trading mechanisms and demand response (DR) demonstrate significant potential for facilitating low-carbon societies and advancing sustainable energy development. The optimal operation of microgrid systems faces challenges due to: (1) response rate disparities among cooling, heating, and power equipment, (2) load prediction inaccuracies, and (3) complex interdependencies in multi-energy device coupling. To address these challenges, we propose a two-layer rolling optimization framework with multi-time scale scheduling for CCHP microgrid systems. First, wind and photovoltaic power generation are predicted using a CNN-ATT-BiLSTM model, with comparative analysis against standalone CNN, BiLSTM and CNN-LSTM models. Second, we establish a multi-time scale opt

SUBMITTER: Wang J 

PROVIDER: S-EPMC12303334 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature