Multi-Objective Optimization Scheduling of Integrated Energy System Interval Under Multiple Uncertainty Environment

Abstract To solve influence of the uncertainty in integrated energy system on dispatch plan, a interval multi-objective optimization dispatch method of integrated energy system under multiple uncertain factors is proposed. Firstly, interval mathematics is used to describe multiple uncertain factors in the system, such as efficiency of multi-energy coupling unit, demand response, and electricity substitution; secondly, considering the efficient use of energy, the economics of system operation and difference in energy quality, optimize the operation of the system with goal of lowest system operating cost and highest exergy efficiency; finally, based on interval multi-objective linear programming method, an interval multi-objective optimization scheduling technique of integrated energy system under multiple uncertain factors is established. Case analysis shows that proposed multi-objective optimization scheduling method can take economics of system operation and exergy efficiency into account, and effectively improve the system's ability to deal with multiple uncertainties.