Research On Distributed Energy Network Optimization Scheduling Based On Electricity,Gas And Heat Interchanges And Energy Storage

Distributed energy system can make rational and effective use of clean and renewable energy,which is considered as an important way to solve the problem of energy crisis and environmental pollution.However,since the traditional distributed energy system is usually“point-to-point”supply,the volatility of the supply and load ends easily leads to the mismatch of supply and demand,thus reducing its potential energy saving and emission reduction.In order to solve the above problems,the concept of distributed energy network was born,which connects multiple distributed energy systems in the region by means of energy interchanging,and centrally dispatches the energy supply relationship in the energy network in order to achieve the dynamic balance between energy supply and demand in the region.Among them,the optimization of scheduling process is the key to improve the energy utilization efficiency of distributed energy network.With the development of distributed energy networks,the complexity of supply and demand structure is increasing,the types of energy interchanging become more abundant,and the application of energy storage systems is further deepened.These factors put forward higher requirements for optimal scheduling models and solving algorithms.How to formulate a scientific,reasonable and effective optimal scheduling scheme under the background of the application of complex structure of distributed energy network has become an important problem to be solved urgently in the research of distributed energy network.Based on this,this paper studies the problem of distributed energy network optimization scheduling based on electricity,gas and heat interchanges and energy storage.Firstly,an optimal dispatching model of distributed energy network based on distributed energy system with energy storage as nodes and electricity,gas and heat interchanges network as framework is built.Secondly,the particle swarm optimization algorithm is selected as the solution algorithm,and the targeted improvement algorithm based on the second-level optimization and dynamic topology structure is adopted to reduce the convergence defect and local optimal risk caused by too many model variables,so as to better adapt.Optimal scheduling solution for distributed energy network complex structure.Finally,based on the Sino-German Ecological Park Distributed Energy Network Project,the validity of the proposed model and the algorithm is verified.The numerical results show that the model and algorithm can solve the optimal scheduling problem of distributed energy network based on electricity,gas and heat interchanges and energy storage scientifically and effectively.Optimizing the scheduling process can optimize the energy storage system scheduling strategy,effectively alleviate the contradiction between energy supply and demand,and reduce energy costs.The energy storage system can improve the utilization rate of renewable energy and reduce CO₂ emissions under the premise of ensuring economy.The improved algorithm can effectively reduce the particle dimension and improve the accuracy and convergence performance.The innovations of this paper mainly include the following two aspects:?1?The optimal scheduling model and solving algorithm are constructed to solve the optimal scheduling problem under the complex structure of distributed energy network based on electricity,gas and heat interchanges and energy storage.The distributed energy network optimal scheduling theory is improved and the application value and application depth of distributed energy network are deepened.?2?The improved particle swarm optimization algorithm is used as an optimal scheduling algorithm under the complex structure of distributed energy network.First,based on the second-order optimization,the particle dimension is reduced and the convergence performance of the solution process is improved.Secondly,a new dynamic topology structure is established to reduce the local optimal risk in the process of solving.The validity of the algorithm is proved by an example,which provides a new idea to solve the optimal scheduling problem of distributed energy network.