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Research On Optimization Of Micro-grid Multi-energy System Based On Demand Response

Posted on:2021-03-06Degree:MasterType:Thesis
Country:ChinaCandidate:W Y LiFull Text:PDF
GTID:2392330605450230Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Energy is the driving force for industrial development and social progress,with the rise of the energy Internet,the efficient and comprehensive use of energy has been widely concerned.Among them,photovoltaic photothermal integration system,gas turbine,cogeneration and other technologies can achieve multi-directional energy flow.The modeling and analysis of micro-net multi-energy system,taking into account the participation of flexible load,is of great significance to promote the establishment of a safe,economical,clean and efficient future energy system.In order to meet the needs of energy optimization management in microgrid multi-energy systems,this paper makes in-depth research on the models and methods of energy management of micronet multi-energy systems from three aspects: modeling of micro-network multi-energy systems,optimizing scheduling based on demand-response,considering the operation optimization of distributed energy storage and multi-scene dynamic electricity prices,and so on.(1)Micronet multi-energy system modeling.In this paper,micro-network multi-energy systems mainly include wind turbines,photovoltaic photothermal integration systems,cogeneration units,electric boilers and energy storage equipment.Based on the matrix of energy hubs,the operating principles,characteristics and mathematical models of each equipment are studied.On this basis,a comprehensive model of micronet multi-energy system is established.(2)Micronet multi-energy system based on demand response double-layer optimization scheduling.In order to maximize the elimination of renewable energy and multi-level scheduling of demand-side resources,this paper establishes a two-tier optimization scheduling model of micro-network multi-energy system.In the upper-level optimization scheduling model,using the improved time-sharing price and taking into account user satisfaction,the adjusted load can be calculated accurately,which can be used as the connection between the upper level and the lower scheduling.The lower level constructs the source-net-load-storage optimization scheduling model of the system operation cost minimization function by rational lying the load and energy storage,and uses the improved imperial competition algorithm to carry out the economic scheduling,and the simulation results verify the rationality of the proposed strategy.(3)Consider the optimization of the operation of the distribution network of micro-network multi-energy systems in collaboration with distributed energy storage and multi-scene dynamicpower tariff systems.Because the traditional time-sharing tariff can not meet the optimization needs of distribution network,this paper puts forward the scheduling operation strategy that considers the coordinated optimization of distributed energy storage and dynamic electricity price,and defines the multi-scene dynamic electricity price.This thesis analyzes the different effects of distributed energy storage on distribution network in microgrid multi-energy systems,and constructs a multi-objective function with the least line network loss and line voltage deviation in distribution network.The optimization problem is solved by using the improved particle group algorithm of external archiving technology.The study verifies the effectiveness of the operation optimization strategy in improving the energy utilization of the power grid and improving the power quality.
Keywords/Search Tags:Demand Response, Double-Layer Optimization Strategy, Energy Hub, Flexible Load, Imperial Competitive Algorithm, Particle Group Algor
PDF Full Text Request
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