An optimization method for user energy management of integrated energy system based on potential game
CSTR:
Author:
Clc Number:

TM73

  • Article
  • | |
  • Metrics
  • |
  • Reference [16]
  • | | | |
  • Comments
    Abstract:

    With the development of integrated energy system, the energy coupling degree is deepening. Especially the multienergy coupling price mechanism is formed on the energy selling side.An energy management optimization strategy based on noncooperative game is proposed for a comprehensive energy system with multienergy coupling pricing mechanism.Firstly, the energy cost model based on conditional value at risk (CVAR) is established according to the energy coupling price mechanism of the integrated energy system.Then, a noncooperative game model between users in a comprehensive energy system is established.The original problem is transformed into a quadratic programming problem with a single objective by constructing a potential function.It is proved that the equilibrium of pure strategy game exists and is unique.Finally, an example is analyzed to show the energyconsumption of users decreases somewhat and therefore verify the effectiveness of the proposed model and method.

    Reference
    [1] 孙建梅,李龙龙.低碳电网建设研究现状及未来发展趋势[J].电网与清洁能源,2019,35(3):2130+36.SUN Jianmei,LI Longlong.Research status and developmenttrend of lowcarbon grid construction[J].Power System and Clean Energy,2019,35(3):2130+36.
    [2] 杨海柱,李梦龙,江昭阳,等.考虑需求侧电热气负荷响应的区域综合能源系统优化运行[J].电力系统保护与控制,2020,48(10):3037.YANG Haizhu,LI Menglong,JIANG Zhaoyang,et al.Optimal operation of regional integrated energy system considering demand side electricity heat and naturalgas loads response[J].Power System Protection and Control,2020,48(10):3037.
    [3] 张利军,王一铮,陈飞,等.计及能源网络特性的综合能源系统最优协调规划[J].电力科学与技术学报,2020,35(1):313.ZHANG Lijun,WANG Yizheng,CHEN Fei,et al.Optimal coordinated planning of an integrated energy system considering characteristic of energy networks[J].Journal of Electric Power Science and Technology,2020,35(1):313.
    [4] 张涛,郭玥彤,李逸鸿,等.计及电气热综合需求响应的区域综合能源系统优化调度[J].电力系统保护与控制,2021,49(1):5261.ZHANG Tao,GUO Yuetong,LI Yihong,et al.Optimization scheduling of regional integrated energy systems based on electricthermalgas integrated demand response[J].Power System Protection and Control,2021,49(1):5261.
    [5] 汤翔鹰,胡炎,耿琪,等.考虑多能灵活性的综合能源系统多时间尺度优化调度[J/OL].电力系统自动化:116
    [6] Zhang X,Shahidehpour M,Alabdulwahab A,et al.Optimal expansion planning of energy hub with multiple energy infrastructures[J].IEEE Transactions on Smart Grid,2017,6(5):23022311.
    [7] Li Z,Wu W,Wang J,et al.Transmissionconstrained unit commitment considering combined electricity and district heating networks[J].IEEE Transactions on Sustainable Energy,2016,7(2):480492.
    [8] 喻小宝,谭忠富,屈高强.基于能源互联网的电力商业模式及关键技术研究[J].智慧电力,2019,47(2):914+36.YU Xiaobao,TAN Zhongfu,QU Gaoqiang.Exploration for power business model and key technologies undercondition of energy internet[J].Smart Power,2019,47(2):914+36.
    [9] Bahrami S,Toulabi M,Ranjbar S,et al.A decentralized energy management framework for energy hubs in dynamic pricing markets[J].IEEE Transactions on Smart Grid,2018,9(6):67806792.
    [10] 周斌,崔雪,邹晨露,等.基于合作博弈的风水火联合运营研究[J].电测与仪表,2019,56(6):6975.ZHOU Bin,CUI Xue,ZOU Chenlu,et al.Research on windhydrothermal power joint operation based on cooperative game theory[J].Electrical Measurement & Instrumentation,2019,56(6):6975.
    [11] Krause T,Andersson G,Frhlich K,et al.Multipleenergy carriers:modeling of production,delivery,andconsumption[J].Proceedings of the IEEE,2011,99(1):1527.
    [12] Khodabakhsh R,Sirouspour S.Optimal control of energy storage in a microgrid by minimizing conditional valueatrisk[J].IEEE Transactions on Sustainable Energy,2016,7(3):12641273.
    [13] 田廓,董文杰.需求侧响应及输电约束条件下大规模新能源发电并网机组组合模型[J].智慧电力,2019,47(1):5458+71.TIAN Kuo,DONG Wenjie.Unit commitment model of large scale new energy generation integrated into grid with demand response resources based on price and transmission capacity constraints[J].Smart Power,2019,47(1):5458+71.
    [14] Zhang Z S,Sun Y Z,Gao D W,et al.A versatile probability distribution model for wind power forecast errors and its application in economic dispatch[J].IEEE Transactions on Power Systems,2013,28(3):31143125.
    [15] Monderer D,Shapley L S.Potential games[J].Games and Economic Behavior,1996,14(1):124143.
    [16] Rockafellar R T,Uryasev S.Optimization of conditional valueatrisk[J].J.Risk,2000,2(3):2142.
    Related
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

李睿智,刘念,延肖何.基于势博弈的综合能源系统用户能量管理优化方法[J].电力科学与技术学报英文版,2021,36(1):21-31. LI Ruizhi, LIU Nian, YAN Xiaohe. An optimization method for user energy management of integrated energy system based on potential game[J]. Journal of Electric Power Science and Technology,2021,36(1):21-31.

Copy
Share
Article Metrics
  • Abstract:274
  • PDF: 1033
  • HTML: 0
  • Cited by: 0
History
  • Online: April 16,2021
Article QR Code