Optimal Operation of Multiple Energy System Based on Multi-Objective Theory and Grey Theory

The manufacturing industry consumes electricity and natural gas to provide the power heat required for manufacturing. Additionally, large amounts of electric energy are used, cost, amount environmental pollution, equipment maintenance cost high. Thus, optimizing management with new is important satisfy load demand from system. This paper formulates scheduling problem these multiple systems as a multi-objective linear regression model (MLRM), an system designed focusing on economy greenhouse emissions. Furthermore, variety optimization objectives constraints proposed make scheme more practical. Then, grey theory combined common MLRM accurately represent uncertainty in better reflect actual situation. takes fluctuation, total grid operation pollution value reference standards measure effect gray algorithm. Lastly, applied optimize supply plan its performance demonstrated using numerical examples. verification results meet optimized operating conditions multi-energy microgrid