Multi-objective scheduling optimization of an integrated energy system considering variable efficiency of energy conversion devices
To comprehensively assess the operational performance of an integrated energy system,this paper introduces a multi-objective optimal operational method that takes into account the variable efficiency of energy conversion devices.First,the operational characteristic curves of energy conversion devices with variable efficiency are segmented and linearized.Second,a multi-objective optimal scheduling model is established considering the economic costs,carbon emissions and comprehensive energy utilization efficiency.The non-convex nonlinear problem with comprehensive energy utilization efficiency is solved by the Charnes-Cooper transformation.Finally,to solve the multi-objective model,the normalized normal constraint method is employed to generate a Pareto optimal set with uniform distribution.Following this,the improved entropy weight double-base point method is used to identify the compromise optimal solution.The modified IEEE 33-bus power distribution network and 8-bus heating network coupled integrated energy system are simulated and analyzed.The results show that the optimized model and algorithm are capable of obtaining an operational scheme that considers economy,low-carbon,and high efficiency of an integrated energy system.This offers decision makers scientific references for decision-making.
integrated energy systemmulti-objective optimizationvariable efficiencynormalized normal constraint methodimproved entropy weight double-base point method
万方数据
维普
