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 scheduling 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 the power system. Second, considering the differences in production methods and conversions of high-quality intensity, the built-in electrical system scheduling, multi-objective gold standard scheduling methods to align built-in power equipment under multiple uncertainties. Finally, based on the multipurpose linear programming method, the most effective scheduling model range of forced equipment is integrated. Many symptoms can occur under uncertain conditions. The numerical results indicate that the proposed multipurpose scheduling model can meet most needs, improve the economic and energy efficiency of the machine, and enhance the system’s ability to cope with uncertainties.