Multi-objective Optimal Scheduling Method For Integrated Community Energy System

In order to satisfy the energy demands for electricity,natural gas and heat,and realize multi-objective scheduling and management of electric distribution system,natural gas distribution system and Energy Center(EC)system,proposing an optimal operation scheduling method suitable for the Integrated Community Energy System(ICES)is of great significance.Differenr energy supply system and diverse energy conversion unit are developed for ICES in this paper,where the operation constraints concerning system operation security and the objective functions concerning system economy and environmental friendliness are considered.In this case,multi-objective day-ahead scheduling method for ICES is proposed in this paper and a series of alternative solutions are achieved by the proposed method.Furthmore,multi-attribute decision making method is proposed for the final day-ahead scheduling scheme from the alternative solutions,where multiple attributes are considered for the utility maximization and optimal operation of ICES.The main work is as follows:(1)To satisfy diverse energy utilization demands of different operation scenarios,a multi-objective optimal day-ahead scheduling method for ICES is proposed in this paper.Firstly,the coupling unit between different energy supply system,namely the EC,is modeled based on the energy hub.Then,the Operation Cost(OC)and the Total Emission(TE)of ICES are set as the objective functions and multiple operation constraints of ICES are considered for the day-ahead scheduling model.Finally,the solution method for the Pareto Optimal Curve of the day-ahead scheduling schemes is proposed.(2)To further investigate the impacts from stochastic factors to the operation,a multi-objective day-ahead scheduling method considering stochastic factors is proposed in this paper.The renewable energy generation unit and electric/heating loads from “source-load” sides are developed based on the probilistic model.And the stochastic multi-objective optimization model is developed based on the aforementioned ICES model.The optimization results are able to reflect the operation characteristic of ICES under stoachastic conditions.By making flexible adjustment to the energy utilization of EC,the effects caused by the stochastic factors are decreased.(3)Based on the achieved alternative solutions of day-ahead scheduling schemes,an eveidential-reasoning based multi-attrbute decision making method is proposed in this paper,which is cpmposed of multi-attribute analysis,multi-evidence reasoning and utility evaluation.Considering the operation attributes of ICES,electric distribution network and natural gas distribution network comprehensively and the uncertainty of decision making process,the final day-ahead scheduling scheme is determined by the proposed method for the utility maximization.