能源互联网典型夏日日内优化调度控制策略
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摘要
随着能源互联网技术的发展,对能源互联网的优化调度已经成为能源互联网研究的关键问题。提出了以热定电和以电定热的能源互联网运行策略,以成本和风险最低为优化目标,根据能源互联网内的不同的发电单元和负荷特性,将能源互联网优化调度中的典型夏日分为白天和夜间,分别进行调控。采用北京某能源互联网园区的运行参数与数据,在Matlab上进行算例仿真,仿真结果验证了调度策略的有效性。
With the development of Energy Internet,optimal scheduling of Energy Internet has become a key issue in Energy Internet research.This paper puts forward the operation strategy of Energy Internet,ordering power by heat and ordering heat by power and aiming to minimize cost and risk.According to different characteristics of power generation units and load in the Energy Internet,the typical summer days in the Energy Internet are divided into day and night and control them separately.This paper adopts operating parameters and data in the Energy Internet Park in Beijing.The example simulated on Matlab and results of simulation verify the effectiveness of the scheduling strategy.
With the development of Energy Internet,optimal scheduling of Energy Internet has become a key issue in Energy Internet research.This paper puts forward the operation strategy of Energy Internet,ordering power by heat and ordering heat by power and aiming to minimize cost and risk.According to different characteristics of power generation units and load in the Energy Internet,the typical summer days in the Energy Internet are divided into day and night and control them separately.This paper adopts operating parameters and data in the Energy Internet Park in Beijing.The example simulated on Matlab and results of simulation verify the effectiveness of the scheduling strategy.
引文
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[8]廖名洋.含CCHP的微网经济运行优化研究[D].广州:华南理工大学,2014.LIAO Ming-yang.Economic Analysis of CCHP System Based Microgrid[D].Guangzhou:South China University of Technology,2014.
[2]ZHOU J G,KIM S,ZHANG H G,et al.Consensus-Based Distributed Control for Accurate Reactive,Harmonic and Imbalance Power Sharing in Microgrids[J].IEEE Transactions on Smart Grid,2015,09(04):2453-2467.
[3]刘方,杨秀,时珊珊,等.不同时间尺度下基于混合储能调度的微网能量优化[J].电网技术,2014,38(11):3081-3087.LIU Fang,YANG Xiu,SHI Shan-shan,et al.Hybrid Energy Storage Scheduling Based Microgrid Energy Optimization under Different Time Scales[J].Power System Technology,2014,38(11):3081-3087.
[4]王艳阳,刘鑫屏.热—电联合机组多时间尺度调峰优化调度模型[J].电力科学与工程,2017,33(07):37-42.WANG Yan-yang,LIU Xin-ping.Multi-Time Scale Peaking Optimal Scheduling Model of Heat-Electricity Combined Units[J].Electric Power Science and Engineering,2017,33(07):37-42.
[5]SHI J Q,WANG L,WANG Y T,et al.Generalized Energy Flow Analysis Considering Electricity Gas and Heat Subsystems in Local-Area Energy Systems Integration[J].Energies,2017,10(04):514-531.
[6]LIU X Z,MANCARELLA P.Modelling,Assessment and Sankey Diagrams of Integrated Electricity-Heat-Gas Networks in Multi-Vector District Energy Systems[J].Applied Energy,2016,167:336-352.
[7]曾飞.燃气轮机冷热电联产系统多目标优化配置与运行策略研究[D].广州:华南理工大学,2013.ZENG Fei.Study on Gas Turbine Based CCHP System Multi-Objective Optimal Configuration and Operation Strategy[D].Guangzhou:South China University of Technology,2013.
[8]廖名洋.含CCHP的微网经济运行优化研究[D].广州:华南理工大学,2014.LIAO Ming-yang.Economic Analysis of CCHP System Based Microgrid[D].Guangzhou:South China University of Technology,2014.