A Trusted Sharing Strategy for Electricity in Multi-Virtual Power Plants Based on Dual-Chain Blockchain
Distributed power trading is becoming the future development trend of electric energy trading, and virtual power plant (VPP), as a kind of aggregated optimization scheme to enhance energy utilization efficiency, has received more and more attention for studying distributed trading among multiple VPP...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/11/2741 |
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| _version_ | 1850128743563001856 |
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| author | Wei Huang Chao Zheng Xuehao He Xiaojie Liu Suwei Zhai Guobiao Lin Shi Su Chenyang Zhao Qian Ai |
| author_facet | Wei Huang Chao Zheng Xuehao He Xiaojie Liu Suwei Zhai Guobiao Lin Shi Su Chenyang Zhao Qian Ai |
| author_sort | Wei Huang |
| collection | DOAJ |
| description | Distributed power trading is becoming the future development trend of electric energy trading, and virtual power plant (VPP), as a kind of aggregated optimization scheme to enhance energy utilization efficiency, has received more and more attention for studying distributed trading among multiple VPPs. However, how to guarantee the economy, credibility, security, and efficiency of distributed transactions is still a key issue to be overcome. To this end, a multi-VPP power sharing trusted transaction strategy based on dual-chain blockchain is proposed. First, a dual-chain blockchain electric energy transaction architecture is proposed. Then, the VPP-independent operation cost model is constructed, based on which, the decision model of multi-VPP electric energy sharing transaction based on Nash negotiation theory is constructed. Again, an improved-Practical Byzantine Fault Tolerant (I-PBFT) consensus algorithm combining the schnorr protocol with the Diffie–Hellman key exchange algorithm and a smart contract for multi-VPP electricity trading are designed to realize trusted, secure, and efficient distributed transactions. Finally, the example results verify the effectiveness of the strategy proposed in this paper. |
| format | Article |
| id | doaj-art-a10af40db7cc448f89febefd3258b069 |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-a10af40db7cc448f89febefd3258b0692025-08-20T02:33:11ZengMDPI AGEnergies1996-10732025-05-011811274110.3390/en18112741A Trusted Sharing Strategy for Electricity in Multi-Virtual Power Plants Based on Dual-Chain BlockchainWei Huang0Chao Zheng1Xuehao He2Xiaojie Liu3Suwei Zhai4Guobiao Lin5Shi Su6Chenyang Zhao7Qian Ai8Kunming Power Dispatching Control Center, Kunming Power Supply Bureau, Yunnan Power Grid Co., Ltd., Kunming 650010, ChinaYunnan Power Dispatching Control Center, Yunnan Power Grid Co., Ltd., Kunming 650011, ChinaElectric Power Research Institute of China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, ChinaDongfang Electronics Cooperation, Yantai 264010, ChinaYunnan Power Dispatching Control Center, Yunnan Power Grid Co., Ltd., Kunming 650011, ChinaDongfang Electronics Cooperation, Yantai 264010, ChinaElectric Power Research Institute of China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, ChinaKey Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, ChinaKey Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, ChinaDistributed power trading is becoming the future development trend of electric energy trading, and virtual power plant (VPP), as a kind of aggregated optimization scheme to enhance energy utilization efficiency, has received more and more attention for studying distributed trading among multiple VPPs. However, how to guarantee the economy, credibility, security, and efficiency of distributed transactions is still a key issue to be overcome. To this end, a multi-VPP power sharing trusted transaction strategy based on dual-chain blockchain is proposed. First, a dual-chain blockchain electric energy transaction architecture is proposed. Then, the VPP-independent operation cost model is constructed, based on which, the decision model of multi-VPP electric energy sharing transaction based on Nash negotiation theory is constructed. Again, an improved-Practical Byzantine Fault Tolerant (I-PBFT) consensus algorithm combining the schnorr protocol with the Diffie–Hellman key exchange algorithm and a smart contract for multi-VPP electricity trading are designed to realize trusted, secure, and efficient distributed transactions. Finally, the example results verify the effectiveness of the strategy proposed in this paper.https://www.mdpi.com/1996-1073/18/11/2741virtual power plantsdistributed transactionsblockchainNash negotiationconsensus algorithmssmart contracts |
| spellingShingle | Wei Huang Chao Zheng Xuehao He Xiaojie Liu Suwei Zhai Guobiao Lin Shi Su Chenyang Zhao Qian Ai A Trusted Sharing Strategy for Electricity in Multi-Virtual Power Plants Based on Dual-Chain Blockchain Energies virtual power plants distributed transactions blockchain Nash negotiation consensus algorithms smart contracts |
| title | A Trusted Sharing Strategy for Electricity in Multi-Virtual Power Plants Based on Dual-Chain Blockchain |
| title_full | A Trusted Sharing Strategy for Electricity in Multi-Virtual Power Plants Based on Dual-Chain Blockchain |
| title_fullStr | A Trusted Sharing Strategy for Electricity in Multi-Virtual Power Plants Based on Dual-Chain Blockchain |
| title_full_unstemmed | A Trusted Sharing Strategy for Electricity in Multi-Virtual Power Plants Based on Dual-Chain Blockchain |
| title_short | A Trusted Sharing Strategy for Electricity in Multi-Virtual Power Plants Based on Dual-Chain Blockchain |
| title_sort | trusted sharing strategy for electricity in multi virtual power plants based on dual chain blockchain |
| topic | virtual power plants distributed transactions blockchain Nash negotiation consensus algorithms smart contracts |
| url | https://www.mdpi.com/1996-1073/18/11/2741 |
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