Computer Science ›› 2018, Vol. 45 ›› Issue (2): 25-31.doi: 10.11896/j.issn.1002-137X.2018.02.005

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Study on Virtual Power Plant Model Based on Blockchain

SHAO Wei-hui, XU Wei-sheng, XU Zhi-yu, WANG Ning and NONG Jing   

  • Online:2018-02-15 Published:2018-11-13

Abstract: The power system is evolving from Smart Grid to Energy Internet with the development of new energy technologies and Internet technologies.Distributed energy resources will become the main primary energy in the future Ener-gy Internet.In this situation,virtual power plant technology plays an important role in the convergence of distributed power generation resources and the establishment of virtual power resource transactions.As a new distributed computing paradigm,blockchain has the characteristics of security,transparency and decentralization.This paper proposed a blockchain based virtual power plant model for the future Energy Internet driven by real-time electricity price.The coordinated control method of virtual power plant and the independent grid connected behavior of distributed energy resources are organically linked by the incentive mechanism of blockchain,so as to realize the distributed dispatching calculation of virtual power plant.Simulation results show that the proposed model meets the grid-connected requirements of high penetration,high freedom,high frequency and high speed of distributed energy resources in the future Energy Internet.

Key words: Blockchain,Energy Internet,Virtual power plant,Real-time pricing,Distributed computation

[1] RIFKIN J.The third industrial revolution:how lateral power is transforming energy,the economy,and the world[J].Survival,2011,2(2):67-68.
[2] DONG Z Y,ZHAO J H,WEN F S,et al.From Smart Grid to Energy Internet:Basic Concept and Research Framework [J].Automation of Electric Power Systems,2014,38(15):1-11.(in Chinese) 董朝阳,赵俊华,文福拴,等.从智能电网到能源互联网:基本概念与研究框架[J].电力系统自动化,2014,8(15):1-11.
[3] KIENY C,BERSENEFF B,HADJSAID N,et al.On the concept and the interest of virtual power plant:Some results from the European project Fenix [C]∥Power &Energy Society General Meeting.IEEE Press,2009:1-6.
[4] WANG C S,LI P.Development and Challenges of Distributed Generation,the Micro-grid and Smart Distribution System [J].Automation of Electric Power Systems,2010,34(2):10-14.(in Chinese) 王成山,李鹏.分布式发电、微网与智能配电网的发展与挑战[J].电力系统自动化,2010,4(2):10-14.
[5] BARKER P P,DE MELLO R W.Determining the impact of distributed generation on power systems.I.Radial distribution systems [C]∥Power Engineering Society Summer Meeting.IEEE Xplore,2000:1645-1656.
[6] MASHHOUR E,MOGHADDAS-TAFRESHI S M.A reviewon operation of micro grids and Virtual Power Plants in the power markets [C]∥International Conference on Adaptive Scien-ce & Technology.2009:273-277.
[7] RESEARCH N.Capacity of Virtual Power Plants Worldwide is Expected to More than Quintuple by 2023[EB/OL].
[8] RESEARCH P S M.Global Virtual Power Plant Market Size,Share,Development,Growth and Demand Forecast to 2023[EB/OL].
[9] NAKAMOTO S.Bitcoin:A peer-to-peer electronic cash system[EB/OL].
[10] SWAN M.Blockchain:Blueprint for a New Economy[M].New York:O’Reilly Media,Inc.,2015.
[11] CRYPTONEWI.An energy blockchain for European prosumers [EB/OL].
[12] NGUYEN C.An indie,off-the-grid,blockchain-traded solar powermarket comes to brooklyn [EB/OL].
[13] 张健.区块链:定义未来金融与经济新格局[M].北京:机械工业出版社,2016.
[14] HANSEN P.Variable neighborhood search[M].Holland:El-sevier Science Ltd.,1997.
[15] GUTIRREZ-ALCARAZ G,SHEBL G B.Generation companies decision-making modeling by linear control theory[J].Electric Power Systems Research,2010,0(7):815-827.

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