Research And Implementation Of Multi-Energy Collaborative Planning System For Parks

Nowadays,energy planning of parks emphasizes the coordinated planning of multiple energy sources and the comprehensive consideration of source-load-storage.The complexity of the energy planning of parks makes the planning work complicated.The park energy planning system can simplify the routine operation of the planners in the planning and design,improve the work efficiency,and make the planners focus on the research of planning methods and related theories.There are still many deficiencies in the design and implementation of the existing park energy planning system.On the one hand,with the diversification of energy types and park equipments,the information modeling of basic component equipment in planning software has become more complicated,and lacks some flexible information model construction methods.On the other hand,The integrated planning solution is the key point in the park energy planning.It needs to combine energy-related expertise to analyze the energy characteristics of the park.How to effectively analyze the data of the planning park and design a reasonable algorithm solve it is a challenging problem.In response to the above problems,this paper studies the implementation process of the multi-energy collaborative planning system for parks,through the combination of equipment metadata and graph data,flexibly constructs the information model of energy planning,and constructs the planning topology storage model based on the graph database.At the same time,by analyzing the planning information in the database,proposes an improved genetic algorithm considering the initial conditions of park planning to solve the problem.Finally,the prototype system is implemented to verify the flexibility and effectiveness of the system.The main contributions of this paper include:1.The overall framework of park energy planning based on SVG pictures is proposed.The SVG image-based park planning framework is divided into three layers,the visual interaction layer,the service layer,and the data layer.The visual interaction layer provides drawing,display and evaluation of planning solutions for users.The service layer focuses on providing service support for the solution and evaluation of planning solutions in planning and design.The data layer includes the storage of planning scheme,basic equipment,pipeline and other data,as well as the import and storage of relevant economic and energy consumption data.2.The information model of park energy planning based on graph database is designed.In order to express,exchange and store the information in the process of planning flexibly,this paper presents the data in the energy planning of parks flexibly by constructing the meta model of the energy infrastructure equipment of the park.At the same time,because the graph database is naturally suitable for the expression of topology,this paper constructs the planning information storage model based on the graph database combined with the designed data meta model.3.Based on the second generation of non dominated sorting genetic algorithm(NSGA-II),aiming at the limitation of park planning and design,this paper strengthens the initial data selection and improves the solution speed based on the dynamic edge weight ratio minimum spanning tree(DMST);At the same time,the congestion operator in the process of solving the NSGA-II algorithm was improved to increase the diversity of solutions.4.The prototype of a multi-energy collaborative planning management system is designed and implemented.According to the designed information model,the whole park planning system is realized by combining the SVG picture and graph database neo4 j,and the functions of load forecasting,planning evaluation and planning solution are provided in the system.Through the implementation of the prototype system and the comparison with similar systems,the flexibility and practicability of the system are verified.