Research on Distributed Electricity Transaction Mode of Microgrid Cluster Applying Blockchain Technology

ZHU Tinghu, LIU Yang, XU Lixiong, RAO Ping, LI Zhenwei, WU Han

Electric Power Construction ›› 2022, Vol. 43 ›› Issue (6) : 12-23.

PDF(11124 KB)
PDF(11124 KB)
Electric Power Construction ›› 2022, Vol. 43 ›› Issue (6) : 12-23. DOI: 10.12204/j.issn.1000-7229.2022.06.002
Energy Power Economy and Market Mechanism Driven by Dual Carbon Targets?Hosted by Professor WEN Fushuan and Professor LIU Dunnan?

Research on Distributed Electricity Transaction Mode of Microgrid Cluster Applying Blockchain Technology

Author information +
History +

Abstract

The traditional centralized transaction mode has some defects, such as high operating cost and information insecurity, when dealing with high frequency and small amount of electricity transaction in microgrid cluster. Therefore, this paper proposes a distributed electricity transaction model of microgrid cluster applying blockchain technology, and designs the corresponding smart contract. Firstly, for the deficiency that unified pricing charging method of network fee is not fairly allocated to each transaction according to the actual operating cost of distribution network, a dynamic network fee model considering multiple operation costs of distribution network is proposed on the basis of power transfer distribution factors. Secondly, in order to ensure the preference of market subjects, an objective strategy function of power purchase considering user credit preference is established, and the improved particle swarm algorithm is used to solve matching process of transaction. Thirdly, this paper adopts self-adaptive aggressive strategy to update the quotation for transaction efficiency, and proposes the multi-round rolling constraint checking method to maintain safe operation of distribution network. Ultimately, the relevant case studies verify the rationality of the proposed model and smart contract.

Key words

blockchain / microgrid cluster / distributed electricity transaction / dynamic network fee / credit preference

Cite this article

Download Citations
Tinghu ZHU , Yang LIU , Lixiong XU , et al . Research on Distributed Electricity Transaction Mode of Microgrid Cluster Applying Blockchain Technology[J]. Electric Power Construction. 2022, 43(6): 12-23 https://doi.org/10.12204/j.issn.1000-7229.2022.06.002

References

[1]
沈泽宇, 陈思捷, 严正, 等. 基于区块链的分布式能源交易技术[J]. 中国电机工程学报, 2021, 41(11): 3841-3851.
SHEN Zeyu, CHEN Sijie, YAN Zheng, et al. Distributed energy trading technology based on blockchain[J]. Proceedings of the CSEE, 2021, 41(11): 3841-3851.
[2]
刘文, 杨慧霞, 祝斌. 微电网关键技术研究综述[J]. 电力系统保护与控制, 2012, 40(14): 152-155.
LIU Wen, YANG Huixia, ZHU Bin. Survey on key technologies of microgrid[J]. Power System Protection and Control, 2012, 40(14): 152-155.
[3]
何黎君, 程杉, 陈梓铭. 考虑交互功率控制和双边竞价交易的多微电网双层优化调度[J]. 电力系统保护与控制, 2020, 48(11): 10-17.
HE Lijun, CHENG Shan, CHEN Ziming. A scheduling model of a multi-microgrid system based on bi-layer optimization with consideration of PCC power control and bilateral bidding[J]. Power System Protection and Control, 2020, 48(11): 10-17.
[4]
孟欣, 王丹, 张子阳, 等. 面向电能交易的用户级直流微网母线电压分层控制策略研究[J]. 电力系统保护与控制, 2021, 49(04): 54-63.
MENG Xin, WANG Dan, ZHANG Ziyang, et al. Research on hierarchical control strategy of a user level DC microgrid bus voltage for electricity trading[J]. Power System Protection and Control, 2021, 49(4): 54-63.
[5]
王健, 周念成, 王强钢, 等. 基于区块链和连续双向拍卖机制的微电网直接交易模式及策略[J]. 中国电机工程学报, 2018, 38(17): 5072-5084, 5304.
WANG Jian, ZHOU Niancheng, WANG Qianggang, et al. Electricity direct transaction mode and strategy in microgrid based on blockchain and continuous double auction mechanism[J]. Proceedings of the CSEE, 2018, 38(17): 5072-5084, 5304.
[6]
孟仕雨, 孙伟卿, 韩冬, 等. 支持现货市场的分布式电力交易机制设计与实现[J]. 电力系统保护与控制, 2020, 48(07): 151-158.
MENG Shiyu, SUN Weiqing, HAN Dong, et al. Design and implementation of distributed electricity trading mechanism supporting spot market[J]. Power System Protection and Control, 2020, 48(7): 151-158.
[7]
杨德昌, 赵肖余, 徐梓潇, 等. 区块链在能源互联网中应用现状分析和前景展望[J]. 中国电机工程学报, 2017, 37(13): 3664-3671.
YANG Dechang, ZHAO Xiaoyu, XU Zixiao, et al. Developing status and prospect analysis of blockchain in energy Internet[J]. Proceedings of the CSEE, 2017, 37(13): 3664-3671.
[8]
马天男, 彭丽霖, 杜英, 等. 区块链技术下局域多微电网市场竞争博弈模型及求解算法[J]. 电力自动化设备, 2018, 38(5): 191-203.
MA Tiannan, PENG Lilin, DU Ying, et al. Competition game model for local multi-microgrid market based on block chain technology and its solution algorithm[J]. Electric Power Automation Equipment, 2018, 38(5): 191-203.
[9]
平健, 严正, 陈思捷, 等. 基于区块链的分布式能源交易市场信用风险管理方法[J]. 中国电机工程学报, 2019, 39(24): 7137-7145, 7487.
PING Jian, YAN Zheng, CHEN Sijie, et al. Credit risk management in distributed energy resource transactions based on blockchain[J]. Proceedings of the CSEE, 2019, 39(24): 7137-7145, 7487.
[10]
王德文, 柳智权. 基于智能合约的区域能源交易模型与实验测试[J]. 电网技术, 2019, 43(6): 2010-2019.
WANG Dewen, LIU Zhiquan. Regional energy transaction model and experimental test based on smart contract[J]. Power System Technology, 2019, 43(6): 2010-2019.
[11]
王冰钰, 颜拥, 文福拴, 等. 基于区块链的分布式电力交易机制[J]. 电力建设, 2019, 40(12): 3-10.
WANG Bingyu, YAN Yong, WEN Fushuan, et al. A blockchain based distributed power trading mechanism[J]. Electric Power Construction, 2019, 40(12): 3-10.
[12]
陈政, 张翔, 荆朝霞, 等. 澳大利亚输电过网费定价机制分析[J]. 南方电网技术, 2017, 11(2): 63-70.
CHEN Zheng, ZHANG Xiang, JING Zhaoxia, et al. Analysis on transmission network use of system charging methodology in Australia[J]. Southern Power System Technology, 2017, 11(2): 63-70.
[13]
石方迪, 刘敦楠, 余涛, 等. 适应光伏学习曲线的分布式交易过网费机制[J]. 智慧电力, 2020, 48(3): 96-103.
SHI Fangdi, LIU Dunnan, YU Tao, et al. Probe into mechanism of use of system charge in distributed trading adapted to photovoltaic learning curve[J]. Smart Power, 2020, 48(3): 96-103.
[14]
陈金辉, 陈辰, 董飚. 基于自适应策略的改进粒子群算法[J]. 计算机仿真, 2015, 32(3): 298-303.
CHEN Jinhui, CHEN Chen, DONG Biao. An improved particle swarm algorithm based on adaptive strategy[J]. Computer Simulation, 2015, 32(3): 298-303.
[15]
吴泽穹, 滕欢, 李基康, 等. 配电网节点边际容量成本研究[J]. 科学技术与工程, 2017, 17(8): 176-181.
WU Zeqiong, TENG Huan, LI Jikang, et al. Research on locational marginal capacity cost of distribution network[J]. Science Technology and Engineering, 2017, 17(8): 176-181.
[16]
BALDICK R. Variation of distribution factors with loading[J]. IEEE Transactions on Power Systems, 2003, 18(4): 1316-1323.
[17]
付学谦, 陈皓勇. 基于理想解法的电能质量综合评估[J]. 电力自动化设备, 2014, 34(4): 26-30.
FU Xueqian, CHEN Haoyong. Comprehensive power quality evaluation based on TOPSIS approach[J]. Electric Power Automation Equipment, 2014, 34(4): 26-30.
[18]
向悦萍, 杨健维, 臧天磊, 等. 计及电能质量的电力市场多主体博弈模型[J]. 电网技术, 2020, 44(9): 3383-3394.
XIANG Yueping, YANG Jianwei, ZANG Tianlei, et al. Multi-agent game model in electricity market considering power quality[J]. Power System Technology, 2020, 44(9): 3383-3394.
[19]
陈皓勇, 李立浧. 电能商品品质衡量及定价机制[J]. 全球能源互联网, 2018, 1(1): 73-80.
CHEN Haoyong, LI Licheng. Evaluation of electricity commodity quality and the related pricing mechanisms[J]. Journal of Global Energy Interconnection, 2018, 1(1): 73-80.
[20]
FAN Z. A distributed demand response algorithm and its application to PHEV charging in smart grids[J]. IEEE Transactions on Smart Grid, 2012, 3(3): 1280-1290.
[21]
马腾, 刘洋, 许立雄, 等. 基于区块链的配电侧多微电网电能去中心化交易模型[J]. 电网技术, 2021, 45(6): 2237-2247.
MA Teng, LIU Yang, XU Lixiong, et al. Energy decentralized transaction model of multi-microgrid in distribution side based on blockchain[J]. Power System Technology, 2021, 45(6): 2237-2247.
[22]
VYTELINGUM P, CLIFF D, JENNINGS N R. Strategic bidding in continuous double auctions[J]. Artificial Intelligence, 2008, 172(14): 1700-1729.
[23]
马腾, 刘洋, 刘俊, 等. 智能合约技术下微电网群电能分布式交易模型[J]. 电力建设, 2021, 42(1): 41-48.
MA Teng, LIU Yang, LIU Jun, et al. Distributed transaction model of electricity in multi-microgrid applying smart contract technology[J]. Electric Power Construction, 2021, 42(1): 41-48.
[24]
CHRISTAKOU K, LEBOUDEC J Y, PAOLONE M, et al. Efficient computation of sensitivity coefficients of node voltages and line currents in unbalanced radial electrical distribution networks[J]. IEEE Transactions on Smart Grid, 2013, 4(2): 741-750.

Funding

Sichuan Science and Technology Program(2021YFSY0019)
State Grid Sichuan Electric Power Company Program(B7199721B017)
PDF(11124 KB)

Accesses

Citation

Detail

Sections
Recommended

/