Optimization of multi-objective integrated energy efficient utilization based on the digital twin

Abstract To address the effect of non-determinacy on power system scheduling patterns, a comprehensive multipurpose optimization method is proposed. First, region mathematical methods are used to describe many uncertain factors, such as unit performance, connectors, prices, user response, and changes in system. Second, considering differences production conversions high-quality intensity, built-in electrical scheduling, multi-objective gold standard align equipment under multiple uncertainties. Finally, based linear programming method, most effective model range forced integrated. Many symptoms can occur conditions. The numerical results indicate that proposed meet needs, improve economic energy efficiency machine, enhance system’s ability cope with