Storage-Based Integrated Energy System Distributed Optimization Control

With the continuous advancement of "energy reform",a set of integrated energy optimization control strategy based on energy storage system is proposed to solve the problem of absorption capacity of renewable energy.The main work of this paper is as follows:Firstly,the typical equipment and network model of integrated energy system are summarized,and the basis of energy storage control is expounded.The equipment model mainly includes photovoltaic power model,fan power model,power storage system model,heat storage system model,gas turbine model,P2 G equipment model,etc.The network model mainly includes the power grid model and gas network model.On the basis of illuminating the equipment model and network model,in order to improve the rapid response ability of the integrated energy system in the face of energy fluctuations,the droop control mode of energy storage system in the integrated energy system is studied.Secondly,on the basis of the integrated energy system model,the method of zero error regulation of system operation is researched.In view of the current trend that distributed generation is developing rapidly,this paper proposes a risk control strategy of the integrated energy system,a control strategy based on integrated energy systems in various energy storage system.This algorithm is on the basis of consensus algorithm,which is improved in this paper.The improvement mainly involves two aspects.The first is the operation optimization based on the incremental cost and the dispose of special cases such as the upper and lower limits of nodes.The second is to include the risk index of the adjacent line into the incremental cost consensus algorithm,so that the system can give consideration to the safety and economic principles in the application of the algorithm.Besides,this control strategy can adjust and modify the weight ratio in real time according to the specific situation.Thirdly,on the basis of the above algorithm and considering the island operation,the island recognition mechanism and the balanced node selection mechanism are added,so that the above algorithm can guarantee the normal and stable operation of the system under special circumstances.Simulation results show that the algorithm is highly compatible with advanced applications such as upper level optimal scheduling and management,and can meet the demand of "plug and play" of the system equipment,facilitating the scale expansion of the system in the future.At last,based on the control strategy and algorithm proposed in this paper,an integrated energy management system is set up.It belongs to smart grid center of south China institute of industrial technology,Zhejiang University.The main research and development content was the real-time optimization and operation control of the integrated energy system.The algorithm was applied under engineering conditions,and the corresponding foreground interface was developed.In the actual project,the operation and control algorithm will be distributed in the form of each controllable node controller.Considering the real-time control,the local node controller uses Redis real-time database to communicate with the management platform.Users can access the platform interface through web pages or apps,and can conduct remote monitoring and other related operations in the interface corresponding to the control.