Electric Power ›› 2021, Vol. 54 ›› Issue (5): 8-16.DOI: 10.11930/j.issn.1004-9649.202004023

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Blockchain-based Transaction Model of Distributed Photovoltaic Generation for Local Power Consumption

JIN Kaiyun1, YANG Jianhua1, CHEN Zheng1, WANG Weizhou2, HOU Bin1, XUE Wenjing1   

  1. 1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;
    2. State Grid Gansu Electric Power Company, Lanzhou 730050, China
  • Received:2020-04-28 Revised:2020-11-30 Published:2021-05-05
  • Supported by:
    This work is supported by the Science and Technology Project of SGCC (No.5227221900HC)

Abstract: At present, with the growing penetration rate of distributed photovoltaic generation in distribution networks, the application of blockchain is becoming more appealing to the dispatch of distributed energy transactions thanks to its decentralization feature and tamperproof mechanism. This is particularly beneficial for local or nearby energy consumptions, which can greatly boost the operation economy of the distribution networks. A blockchain-based photovoltaic transaction mechanism is proposed, and the benefit function of photovoltaic users and distributed photovoltaic aggregator is established. The Stackelberg game model is applied to determine the internal electricity price, and edge computing is used to work out an optimal power consumption plan. A reputation-based local consumption transaction mechanism is designed, in which penalties will be imposed on those users with low levels of local consumption. Therefore, users are encouraged to consume more photovoltaic power through time-shifting loads. The simulation of a distribution network shows that the local consumption of photovoltaic power has been improved and the users can benefit more under the transaction mechanism of blockchain.

Key words: photovoltaic trading, Blockchain, edge computing, local consumption, reputation value