Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation

In recent years, the optimal scheduling of multienergy has become focus research. Against this background, paper builds a model flow system cooling, heating, and power, advanced adiabatic compressed air energy storage (AA-CAES) is introduced to smooth wind power generation (WPG) supply heating/cooling energy. Simulated annealing algorithm (SAA) employed energy-saving with “exergy assessment” method. The index exergy efficiency are compared in different cases. SAA particle swarm optimization (PSO) solving strategy. demands an industrial park WPG typical days simulation. results input far less than those PSO seasons. without AA-CAES also modeled, economic carried out. between 38% 58% while merely 27% 48%.