Research And Design Of Muiti-energy Coordination Management Platform Based On Stream Processing

In recent years,people has paid more and more attention to the lean management of the entire life cycle of energy.The operation of the integrated energy system has high independence,which provides feasibility for efficient management.However,to achieve efficient multi-energy coordination of the integrated energy network,there are still some problems that need to be solved.First,the composition of the integrated energy network is complex,covering subsystems such as production,energy storage,and user-side.The data sources are diverse and data are heterogeneous,redundant or missing,and the amount of real-time data is large which make it difficult to process.Secondly,the functions of multi-energy systems are coupled with each other.The lack of necessary information interaction between systems makes it difficult for multi-energy equipment to operate in coordination with each other and the energy efficiency is low.Finally,the integrated energy network is fluctuant during operation.Changes in environmental conditions may Affect energy use or production.Static planning methods are difficult to cope with dynamic system operation.In view of the above problems,this thesis designs and implements a multi-energy coordination management platform based on stream processing.This platform aims to collect and analyze dynamic operation data in the integrated energy network through real-time stream data processing methods,and promote data exchange and integration of different energy subsystems.At the same time,the platform integrates multi-source information such as production,energy storage,and user-side for optimal multi-energy coordination planning,and continuously optimizes the operation of the integrated energy network during the operation.It can coordinate and manage the integrated energy network more effectively,and generate the efficient operation strategies.The main research contents of this thesis are as follows:(1)Multi-energy coordination management framework for energy networks based on edge computingA multi-energy coordinated management framework is proposed for energy network based on edge computing,which aims to achieve continuous energy system operation optimization by collecting and analyzing real-time status information of the energy network.Based on the principle of continuous optimization,the framework establishes a data collection and fusion layer,a stream processing layer,and a multi-energy system coordination and optimization layer.It assigns different tasks to edge nodes and central nodes according to physical characteristics,completes the conversion of raw data streams collected by smart devices to state information in real time,and completes the continuous optimization strategy generation of the integrated energy network based on real-time operating state analysis.(2)Multi-energy data acquisition and processing method based on stream processingA method for dynamic collection and processing of regional energy network operating data based on stream processing is proposed.Facing the heterogeneous data streams generated by the Io T equipment in the energy network,stream data collection and real-time processing are performed at the edge nodes.Considering the temporal continuity and spatial span of the Io T data in the regional energy network,the method obtains complete operating status information through processing such as dynamic alignment of time series data streams and fusion of spatial semantic information,which increases the interpretability of the data.(3)Coordination and optimization method of multi-energy system with multiple time scalesA continuous coordination optimization method with multiple time scales is proposed.The method provides efficient strategy support for the operation of multi-energy systems from two dimensions,design time and runtime.At design time,we perform functional modeling of the energy network,and solve the optimal planning model through an improved particle swarm algorithm to obtain the basic operation strategy.During operation,considering the fluctuation and uncertainty in the operation of the energy network,we use dynamic predictive control to analyze the real-time state of the energy network and use the system's real-time operation feedback to provide continuous optimization of the multi-energy system operation.(4)Construction of a multi-energy coordination management platform based on stream processingBased on the proposed method framework,a prototype system for multi-energy coordinated management of integrated energy network is built.With the regional smart energy network system as the background,we introduced the application scenario of the method in this thesis and explained the detailed design scheme of the platform to build a multi-energy coordination management platform.The validity and practicability of the method is verified by the comparison of the prototype system and the corresponding experiments.