Suzhou Electric Appliance Research Institute
期刊號: CN32-1800/TM| ISSN1007-3175

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面向P2P交易的基于區(qū)塊鏈的分級電價方法研究

來源:電工電氣發(fā)布時間:2022-03-25 08:25 瀏覽次數(shù):537

面向P2P交易的基于區(qū)塊鏈的分級電價方法研究

向蕓蕓1,薛智文2,顧思3
(1 新疆阜康抽水蓄能有限公司,新疆 烏魯木齊 830011;
2 江蘇國信臨海風(fēng)力發(fā)電有限公司,江蘇 鹽城 224351;
3 國網(wǎng)江蘇省電力有限公司東臺市供電分公司,江蘇 東臺 224200)
 
    摘 要:針對目前電力交易模式下新能源的安全消納問題,以區(qū)塊鏈為核心,提出一種面向 P2P 交易的分級電價方法,充分利用區(qū)塊鏈透明、不可篡改、去中心化的特征支撐 P2P 交易數(shù)據(jù)安全和 P2P 交易電能質(zhì)量安全。依靠 Merkle 樹的特殊結(jié)構(gòu)簡化交易數(shù)據(jù)驗(yàn)證過程,保證交易數(shù)據(jù)的不可篡改;綜合考慮用戶側(cè)和供電側(cè)的可靠性要求,構(gòu)建電能質(zhì)量分級評價體系,獲得各供電節(jié)點(diǎn)電能質(zhì)量評價值,再依據(jù)電能質(zhì)量評價值修正各供電節(jié)點(diǎn)上網(wǎng)電價交易的電能質(zhì)量安全;通過算例驗(yàn)證了該方法可以在有效保證電能質(zhì)量的前提下提升新能源的消納。
    關(guān)鍵詞:電力交易;區(qū)塊鏈;分級電價;模糊貼近度
    中圖分類號:TM715     文獻(xiàn)標(biāo)識碼:A     文章編號:1007-3175(2022)03-0008-06
 
Research on Hierarchical Electricity Price Method Based on
Blockchain for P2P Transaction
 
XIANG Yun-yun1, XUE Zhi-wen2, GU Si3
(1 Xinjiang Fukang Pumped Storage Co., Ltd, Urumqi 830011, China;
2 Jiangsu Guoxin Linhai Wind Power Generation Co., Ltd, Yancheng 224351, China;
3 Dongtai Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd, Dongtai 224200, China)
 
    Abstract: The current electricity trading model has the problem of the safe consumption of new energy. This paper proposed a hierarchical electricity price method for P2P transactions based on the core of blockchain. It used the transparent, immutable, and decentralized features of the blockchain to ensure P2P transaction data security and P2P transaction power quality security.It relied on the unique structure of the Merkle tree to simplify the transaction data verification process and protect the transaction data.This paper considered the reliability requirements of the user side and the power supply side and constructed a system for power quality classification and evaluation. The quality of the electric energy safety could be adjusted following the power quality evaluation value of each power supply node.After example analysis, it is verified that this method could improve the consumption of new energy under the premise of effectively ensuring the power quality.
    Key words: electricity trading; blockchain; electricity price; fuzzy proximity
 
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