区块链框架下基于前景理论的微网分布式能源协同优化

王宇倩, 李军祥, 徐敏

系统工程理论与实践 ›› 2022, Vol. 42 ›› Issue (9) : 2551-2564.

PDF(1617 KB)
PDF(1617 KB)
系统工程理论与实践 ›› 2022, Vol. 42 ›› Issue (9) : 2551-2564. DOI: 10.12011/SETP2021-2267
论文

区块链框架下基于前景理论的微网分布式能源协同优化

    王宇倩, 李军祥, 徐敏
作者信息 +

Collaborative optimization of distributed energy resources in microgrid based on prospect theory under the framework of blockchain

    WANG Yuqian, LI Junxiang, XU Min
Author information +
文章历史 +

摘要

为支撑碳达峰、碳中和目标,实现新能源的有效消纳,本文建立包含信息交互和决策优化的分布式电力市场,提出基于区块链的微网分布式能源协同优化方法,量化区块链技术的应用对微网电力需求和分布式能源电力交易的影响.同时,为降低决策者主观性对优化策略的影响,采用前景理论建立市场成员有限理性下的优化模型,分析电力交易中发电商的心理预期和个体行为偏好等对交易决策的影响.仿真结果表明:基于区块链的微网整合利用分布式新能源实现供给侧协同和资源优化配置,提高了微网供电灵活性和市场成员经济效益.采用前景理论考虑人的有限理性,市场成员能够更好地管理风险.

Abstract

To support the goal of carbon peak and carbon neutrality and realize the effective consumption of new energy, this paper establishes a distributed power market that includes information interaction and decision optimization, proposes a blockchain-based collaborative optimization method for microgrid distributed energy, and quantifies the impact of the application of blockchain technology on microgrid power demand and distributed energy power trading. Meanwhile, in order to reduce the influence of decision maker's subjectivity on the optimization strategy, the optimization model under limited rationality of market members is established by using prospect theory to analyze the influence of psychological expectations and individual behavioral preferences of power generators in power trading on the trading decision. The simulation results show that the microgrid based on the blockchain can integrate the distributed new energy, realize the optimal allocation of resources through the supply side coordination and improve the flexibility of power supply of the microgrid and the economic benefits of the market members. Using prospect theory to consider human limited rationality, market members are able to better manage risks.

关键词

区块链 / 微网 / 前景理论 / 分布式新能源

Key words

blockchain / microgrid / prospect theory / distributed new energy resources

引用本文

导出引用
王宇倩 , 李军祥 , 徐敏. 区块链框架下基于前景理论的微网分布式能源协同优化. 系统工程理论与实践, 2022, 42(9): 2551-2564 https://doi.org/10.12011/SETP2021-2267
WANG Yuqian , LI Junxiang , XU Min. Collaborative optimization of distributed energy resources in microgrid based on prospect theory under the framework of blockchain. Systems Engineering - Theory & Practice, 2022, 42(9): 2551-2564 https://doi.org/10.12011/SETP2021-2267
中图分类号: TK01+9   

参考文献

[1] Nakamoto S. Bitcoin:A peer-to-peer electronic cash system[EB/OL]. [2008]. https://courses.cs.washington.edu/courses/csep552/18wi/papers/nakamoto-bitcoin.pdf.
[2] 欧阳旭, 朱向前, 叶伦, 等. 区块链技术在大用户直购电中的应用初探[J]. 中国电机工程学报, 2017, 37(13):3737-3745.Ouyang X, Zhu X Q, Ye L, et al. Preliminary applications of blockchain technique in large consumers direct power trading[J]. Proceedings of the CSEE, 2017, 37(13):3737-3745.
[3] Cioara T, Antal M, Mihailescu V T, et al. Blockchain-based decentralized virtual power plants of small prosumers[J]. IEEE Access, 2021, 9(1):29490-29504.
[4] Wang Y T, Qiu W Q, Ling D, et al. Proxy signature-based management model of sharing energy storage in blockchain environment[J]. Applied Sciences, 2020, 10(21):7502.
[5] Hua W. A blockchain based peer-to-peer trading framework integrating energy and carbon markets[J]. Applied Energy, 2020, 279(1):115539.
[6] 李彬, 曹望璋, 祁兵, 等. 区块链技术在电力辅助服务领域的应用综述[J]. 电网技术, 2017, 41(3):736-744.Li B, Cao W Z, Qi B, et al. Overview of application of block chain technology in ancillary service market[J]. Power System Technology, 2017, 41(3):736-744.
[7] 龚钢军, 张桐, 魏沛芳, 等. 基于区块链的能源互联网智能交易与协同调度体系研究[J]. 中国电机工程学报, 2019, 39(5):1278-1290.Gong G J, Zhang T, Wei P F, et al. Research on intelligent trading and cooperative scheduling system of energy internet based on blockchain[J]. Proceedings of the CSEE, 2019, 39(5):1278-1290.
[8] 王蓓蓓, 李雅超, 赵盛楠, 等.基于区块链的分布式能源交易关键技术[J]. 电力系统自动化, 2019, 43(14):53-64.Wang B B, Li Y C, Zhao S N, et al. Key technologies on blockchain based distributed energy transaction[J]. Automation of Electric Power Systems, 2019, 43(14):53-64.
[9] 李彬, 覃秋悦, 祁兵, 等.基于区块链的分布式能源交易方案设计综述[J].电网技术, 2019, 43(3):961-972.Li B, Qin Q Y, Qi B, et al. Design of distributed energy trading scheme based on blockchain[J]. Power System Technology, 2019, 43(3):961-972.
[10] 丁涛, 柏瑞, 孙宏斌, 等. 基于鲁棒均值-方差优化的发电自调度算法及鲁棒代价分析[J]. 中国电机工程学报, 2015, 35(2):319-326.Ding T, Bo R, Sun H B, et al. Robust mean-Variance optimization for self-scheduling of thermal producer and its price of robustness[J]. Proceedings of the CSEE, 2015, 35(2):319-326.
[11] Xuan A, Shen X, Guo Q, et al. A conditional value-at-risk based planning model for integrated energy system with energy storage and renewables[J]. Applied Energy, 2021, 294(2):116971.
[12] 夏海杰, 林士勇.考虑分布鲁棒条件风险价值的供电公司购电组合计划[J]. 电力系统及其自动化学报, 2016, 28(7):130-134.Xia H J, Lin S Y. Electricity purchasing portfolio strategies for distribution companies considering distributional robust CVaR[J]. Proceedings of the CSU-EPSA, 2016, 28(7):130-134.
[13] 李绩才, 周永务, 肖旦, 等.考虑损失厌恶一对多型供应链的收益共享契约[J].管理科学学报, 2013, 16(2):71-82.Li J C, Zhou Y W, Xiao D, et el. Revenue-sharing contract in supply chains with single supplier and multiple loss-averse retailers[J]. Journal of Management Sciences in China, 2013, 16(2):71-82.
[14] 高山, 王深哲, 李海峰, 等.基于前景理论的电网规划方案综合决策方法[J].电网技术, 2014, 38(8):2029-2036.Gao S, Wang S Z, Li H F, et al. Prospect theory based comprehensive decision-making method of power network planning schemes[J]. Power System Technology, 2014, 38(8):2029-2036.
[15] 周艳菊, 应仁仁, 陈晓红, 等. 基于前景理论的两产品报童的订货模型[J]. 管理科学学报, 2013, 16(11):17-29.Zhou Y J, Ying R R, Chen X H, et al. Two-product newsboy problem based on prospect theory[J]. Journal of Management Sciences in China, 2013, 16(11):17-29.
[16] 吴杨, 杨超, 赵志强.基于前景理论的混合发电权交易匹配模型[J].系统工程, 2017, 35(11):58-67.Wu Y, Yang C, Zhao Z Q. Matching model of hybrid power generation rights trading based on prospect theory[J]. Systems Engineering, 2017, 35(11):58-67.
[17] Yao Y, Gao C, Chen T, et al. Distributed electric energy trading model and strategy analysis based on prospect theory[J]. International Journal of Electrical Power & Energy Systems, 2021, 131(3):106865.
[18] 李平均, 付兆庆, 刘康平, 等.电力现货市场下基于前景理论的发电商综合决策分析[J].内蒙古电力技术, 2020, 38(4):13-19.Li P J, Fu Z Q, Liu K P, et al. Analysis of comprehensive decision-making of power generation companies based on prospect theory in electricity spot market[J]. Inner Mongolia Electric Power, 2020, 38(4):13-19.
[19] Babich V, Hilary G. Distributed ledgers and operations:What operations management researchers should know about blockchain technology[J]. Manufacturing & Service Operations Management, 2019, 22(2):223-428.
[20] 许志宏, 高岩, 程潘红.马尔科夫决策过程下含可再生能源的实时电价策略[J].上海理工大学学报, 2020, 42(5):467-478.Xu Z H, Gao Y, Cheng P H. Real-time pricing strategy in consideration of renewable energy sources by using Markov decision process for its uncertainty[J]. Journal of University of Shanghai for Science and Technology, 2020, 42(5):467-478.
[21] 高岩.智能电网实时电价社会福利最大化模型的研究[J].中国管理科学, 2020, 28(10):201-209.Gao Y. The social welfare maximization model of real-time pricing for smart grid[J]. Chinese Journal of Management Science, 2020, 28(10):201-209.
[22] 闫妍, 张锦. 基于区块链技术的供应链主体风险规避研究[J]. 工业工程与管理, 2018, 23(6):33-42.Yan Y, Zhang J. A study on supply chain subject with a risk-aversion retailer based on block chain technology[J]. Industrial Engineering and Management, 2018, 23(6):33-42.
[23] 周继儒, 李军祥, 何建佳,等. 基于区块链的微网与大电网合作博弈研究[J]. 系统工程理论与实践, 2021, 41(8):2090-2100.Zhou J R, Li J X, He J J, et al. Cooperative game between microgrid and bulk power grid on blockchain[J]. Systems Engineering—Theory & Practice, 2021, 41(8):2090-2100.
[24] 袁桂丽, 刘培德, 贾新潮, 等.计及绿色电力证书制度的经济性优化调度[J].太阳能学报, 2021, 42(4):139-146.Yuan G L, Liu P D, Jia X C, et al. Economic optimal scheduling considering tradable green certificate system[J]. Acta Energiae Solaris Sinica, 2021, 42(4):139-146.
[25] 黄裕春, 杨甲甲, 文福拴, 等. 计及接纳间歇性电源能力的输电系统规划方法[J]. 电力系统自动化, 2013, 37(4):28-34+40.Huang Y C, Yang J J, Wen F S, et al. Transmission system planning considering capability of accommodating intermittent generation sources[J]. Automation of Electric Power Systems, 2013, 37(4):28-34+40.
[26] 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 J, Yan Z, Chen S J, et al. Credit risk management in distributed energy resource transactions based on blockchain[J]. Proceedings of the CSEE, 2019, 39(24):7137-7145+7487.
[27] Tversky A, Kahneman D. Advances in prospect theory:Cumulative representation of uncertainty[J]. Journal of Risk and Uncertainty, 1992, 5(4):297-323.
[28] Gonzalez R, Wu G. On the shape of the probability weighting function[J]. Cognitive Psychology, 1999, 38(1):129-166.

基金

国家自然科学基金(72071130,71871144);上海理工大学大学生创新训练计划(XJ2021160)
PDF(1617 KB)

1002

Accesses

0

Citation

Detail

段落导航
相关文章

/