Study On The Economic Scheduling Of Integrated Community Energy System Based On Distributed Rolling Optimization

With the continuous improvement of social economic level and people's life quality,the issues of energy security and environmental pollution are also increasingly prominent.How to effectively improve the comprehensive utilization efficiency and environmental benefits of various energy sources has become a hot topic that various countries have paid attention to,while energy demand for electricity,gas and heat is satisfied.Therefore,the integration of the three electricity sources,electricity and heat,through the Integrated Community Energy System(ICES),provides a viable solution to the transformation of traditional energy supply modes,which is undoubtedly of considerable realistic significance in the sustainable energy field.At present,the coordinated optimization of multiple types of energy is one of the research hotspots in ICES.Domestic and foreign scholars have also carried out some researches with respect to the topic and have achieved some research findings.Based on the existing works,this paper studies the coordinated optimization of multiple energy sources in ICES,and the proposed framework improves the traditional energy hub(EH)model and addresses the economic dispatch problem in a single EH and the multiple EHs respectively.In addition,an economic dispatching model of regional integrated energy system based on distributed rolling optimization is developed.The work is carried out in detail as follows:First of all,this paper introduces the concept and function of EH,and proposes an improved EH model that accounts for renewable energy devices and electrical and thermal energy storage devices.The economic optimization scheduling problem based on the improved model considering the energy storage cost is investigated.By comparing the results of the three simulation scenarios,the superiority of the improved model presented in this paper is inllustrated and the operation effect of electrical and thermal energy storage is further analyzed.Secondly,based on the improved EH model,an ICES with multiple EHs is developed,and then independence between single-EH sub-regions and hierarchical relationship between sub-regions and the entire ICES is analyzed.ICES is divided into coordinated control layers and sub-regional layer,and thus a two-tier distributed coordination and optimal scheduling model is proposed.In the coordination control layer,the objective is to minimize the transmission energy loss in the region,and the optimization is carried out subject to constrains of the regional energy balance and the energy transmission restriction.In the sub-regional level,the goal is optimal energy economy and the minimum loss of energy storage system,while the single EH Internal energy balance and various equipment operating constraints in EH is used as a constraint.Thirdly,the alternating direction multiplier method(ADMM)and the dynamic rolling optimization strategy are employed.And a rolling distributed optimization model for the distributed coordinated economic scheduling of the ICES with multiple EHs and corresponding solution process are developed.In the end,the case studies are conducted based on the real data of a certain area and the proposed model is verified from the output of energy supply equipment,energy storage equipment charge and discharge conditions,transmission system loss,EH model advantage comparison,scheduling model economy,the impact of scheduling and the effectiveness of distributed algorithms etc.The simulation results demonstrate innovation and practicality of the proposed methodthe framework.