基于区块链的分布式多因素电力交易匹配机制

Songpu Ai, Diankai Hu, Jian Guo, Yunpeng Jiang, Chunming Rong, Junwei Cao
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引用次数: 6

摘要

随着分布式可再生能源发电技术的快速发展,大量产消者出现并加入到区域能源互联网中,这对传统的能源交易匹配机制提出了挑战。现阶段,电力交易匹配多采用双拍卖等传统机制,存在清洁能源匹配难度较大、输电浪费难以反映等实际应用问题。此外,考虑到建筑乃至住宅级产消者在地区间的广泛部署,以及光伏、风能等清洁能源发电的瞬时可变特性,传统的集中式匹配平台可能面临挑战。针对上述挑战,本文提出了一种基于区块链的多因素电力交易匹配机制。根据k -原型聚类的不相似度计算公式,对电价、交易量、输电距离、能源类型等多个因素的适宜性进行计算和比较。匹配最合适的卖方和买方需求。并基于智能合约设计了相应的自动匹配、私钥签名匹配记录和交易结算。实验结果表明,与传统解决方案相比,采用该机制后,清洁能源在整个区域内的供给比例提高到80.40%;清洁能源与非清洁能源实际单价差距缩小63.00%;全区售电总量增长83.37%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Multi-Factor Electricity Transaction Match Mechanism based on Blockchain
With the rapid development of the power generation technology of distributed renewable energy, great quantities of prosumers emerged and joined to regional energy internets (REIs), which could lead to challenges to conventional energy transaction match mechanisms. At the present stage, traditional mechanisms such as double auction are mostly adopted in the process of electricity transaction match, which may lead problems with practical utilization such as the match of clean energy is relatively difficult and the waste of electricity transmission is hard to be indicated, etc. In addition, the conventional centralized match platform could face challenges considering the widely deployment of building and even house level prosumers among regions, as well as the instantaneous variable characteristic of clean energy generation such as photovoltaic and wind. Aiming at the challenges above, a blockchain-based multi-factor electricity transaction match mechanism is proposed in this paper. The suitability of multiple factors such as electricity price, transaction volume, transmission distance, and energy type are calculated and compared based on the calculation formula of dissimilarity degree in the K-prototypes clustering. The most suitable seller and purchaser demands are matched. Moreover, corresponding automatic match, signing match records by private key and settlement of the transactions were designed based on smart contract. The experimental results illustrated that compared with conventional solutions, by adopting the proposed mechanism, the supply proportion of clean energy in the entire REI increased to 80.40%; the actual unit price gap between clean energy and nonclean energy decreased by 63.00%; the total electricity sale volume in the entire REI increased by 83.37%.
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