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P2P transaction method for distributed energy prosumers based on reputation value

2023-07-25

【论文推荐】东北电力大学姜涛等：考虑信誉值的分布式能源产消者P2P交易策略研究

摘要

在点对点 (Peer-to-Peer，P2P)能源交易中引入信誉值和激励系统，可以规范产消者自身交易行为，实现P2P交易的高效性与可靠性。本文提出了一种考虑信誉值激励的分布式能源产消者P2P交易机制和博弈模型。首先，以分布式能源P2P交易偏差和P2P交易中分布式可再生能源未消纳率为指标，量化分析信誉值影响因素，提出分布式能源产消者P2P交易的信誉值模型；然后，将惩罚系数作用于产消者成本函数，建立基于多个产消者完全信息的P2P交易非合作博弈模型；进一步构造最优反应函数，将纳什均衡问题转变为非线性最优化问题，利用松弛算法求得博弈的纳什均衡解；最后，通过修改的IEEE 33节点测试系统和IEEE 123节点测试系统对考虑信誉值前后各产消者的成本及P2P参与程度进行了分析、验证。结果表明，引入信誉系统可以影响产消者参与P2P的程度，进而改变产消者成本以鼓励产消者规范互动交易行为并积极参与P2P互动交易，同时也可有效提高电网运行效益，促进P2P交易机制的完善。

P2P transaction method for distributed energy prosumers based on reputation value

考虑信誉值的分布式能源产消者P2P交易策

Tao Jiang¹, Ting Hua¹, Hao Xiao^2,3, Linbo Fu¹, Wei Pei^2,3, Tengfei Ma^2,3

1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education (Northeast Electric Power University), Jilin 132012, P.R.China

2.Institute of Electrical Engineering Chinese Academy of Sciences, Beijing 100190, P.R.China

3.School of Electronic, Electrical and Communication Engineering (EECE), University of Chinese Academy of Sciences, Beijing 100049, P.R.ChinaP2P Transaction Method for Distributed Energy Prosumer based on Reputation-Value

Abstract

Adding a reputation incentive system to peer-to-peer (P2P) energy transactions can encourage prosumers to regulate their trading behavior, which is important for ensuring the efficiency and reliability of P2P transactions. This study proposed a P2P transaction mechanism and game optimization model for prosumers involved in distributed energy sources considering reputation-value incentives. First, the deviation of P2P transactions and the non-consumption rate of distributed renewable energy in P2P transactions were established as indicators to quantify the influencing factors of the reputation value, and a reputation incentive model of P2P transactions for prosumers was constructed. Then, the penalty coefficient was applied to the cost function of the prosumers, and a non-cooperative game model of P2P transactions based on the complete information of multi-prosumers was established. Furthermore, the Nash equilibrium problem was transformed into a nonlinear optimization problem by constructing the modified optimal reaction function, and the Nash equilibrium solution of the game was obtained via a relaxation algorithm. Finally, the modified IEEE 33-node test system based on electricity market P2P and an IEEE 123-node test system were used to analyze and verify the cost and P2P participation of prosumers considering the reputation value. The results show that the addition of the reputation incentive system can encourage prosumers to standardize their interactive transaction behavior and actively participate in P2P transactions. It can also improve the operation efficiency of the power grid and promote the perfection of the P2P transaction mechanism.

Keywords

P2P; Prosumer; Non-cooperative game; Reputation value; Multi-agent of interest; Operation optimization

Fig. 1 Weakly-centralized P2P transaction mechanism considering the reputation value

Fig. 2 P2P Transaction flowchart considering the reputation value

Fig. 3 Topology of the IEEE 33-node distribution network

Fig. 4 Changing trend of the reputation value of prosumers

Fig. 5 Cost of prosumer 1

Fig. 6 Cost of prosumer 2

Fig. 7 Cost of prosumer 3

Fig. 8 Total revenue of the power grid

Fig. 9 Topology of the IEEE 123-node distribution network

Fig. 10 Changing trend of the reputation value of prosumers

Fig. 11 Cost changes of prosumers under different cases

Fig. 12 Total revenue of the power grid

本文引文信息

Tao Jiang, Ting Hua, Hao Xiao, Linbo Fu, Wei Pei, Tengfei Ma (2023) P2P transaction method for distributed energy prosumers based on reputation value, Global Energy Interconnection, 6(3): 308-323

姜涛，华婷，肖浩，付麟博，裴玮，马腾飞 (2023) 考虑信誉值的分布式能源产消者P2P交易策略研究. 全球能源互联网（英文）, 6(3): 308-323

Biographies

Tao Jiang

Tao Jiang (Senior Member, IEEE) received B.S.and M.S.degrees in electrical engineering from Northeast Electric Power University,Jilin, China, in 2006 and 2011, respectively,and a Ph.D.degree in electrical engineering from Tianjin University, Tianjin, China,in 2015.He is currently a Professor with the Department of Electrical Engineering,Northeast Electric Power University.From 2014 to 2015, he was a Visiting Scholar with the Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA.From October 2018 to October 2019, he was a Visiting Scholar with the Department of Electrical Engineering and Computer Science,University of Tennessee, Knoxville, TN, USA.His research interests include power system stability analysis and control, renewable energy integration, demand response, and smart grids.

Ting Hua

Ting Hua is currently pursuing a master’s degree in electrical engineering from Northeast Electric Power University, Jilin, China.Her research interests include distribution market transactions and P2P transactions.

Hejun Yang

Hejun Yang received the Ph.D.degree in electrical engineering from Chongqing University, Chongqing, China, in 2014.He is currently an associate professor in school of electrical engineering and automation, Hefei University of Technology, Hefei, China.His main research interests include power system planning and reliability and demand response.

Hao Xiao

Hao Xiao (Member, IEEE) received a B.S.degree from Huazhong University of Science and Technology, Wuhan, China, in 2009, and a Ph.D.degree in electrical engineering from the Chinese Academy of Sciences, Beijing, China,in 2015.He is currently an Associate Professor with the Institute of Electrical Engineering,Chinese Academy of Sciences.His research interests include optimal operation and planning of power systems and the application of artificial intelligence in power systems.

Linbo Fu

Linbo Fu received a master’s degree in electrical engineering from Northeast Electric Power University, Jilin, China, in 2018, where she is currently pursuing a Ph.D.degree.Her research interests include distribution market operation and transaction.

Wei Pei

Wei Pei (Member, IEEE) received B.S.and M.S.degrees in electrical engineering from Tianjin University, Tianjin, China, in 2002 and 2005, respectively, and a Ph.D.degree in electrical engineering from the Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China, in 2008.He is currently a Professor and the Director of the Distributed Generation and Power System Research Group, Institute of Electrical Engineering, Chinese Academy of Sciences.His research interests include the impact of the integration of renewable energy sources on the electricity grid and the development of the distribution grid for large-scale renewable integration, active distribution networks, and ac/dc microgrids.During the past 10 years, he has been principal investigator to several projects funded mostly by the National Key Research and Development Program of China, National Natural Science Foundation of China, which were mostly related to new generation information technology and smart power systems.He has published over 160 papers in peer-reviewed journals and international conferences.He is Associate Editor of IET Smart Grid, IET Energy Systems Integration, and he is a Young Editor of the CSEE Journal of Power and Energy Systems, Power System Technology and High Voltage Engineering.

Tengfei Ma

Tengfei Ma received a Ph.D.degree from Beijing Jiao tong University in 2019.He was a postdoc at the institute of electrical engineering, Chinese Academy of Sciences,from 2019 to 2021.He was a joint training doctor at the university of Texas at Arlington,USA from 2017 to 2018.Now, he is a research assistant at the Institute of Electrical Engineering, Chinese Academy of Sciences.He has published more than ten journal papers and hosted or joined more than five National Natural Science Foundation projects.His research interests include the modeling, operation, and planning of integrated energy systems,and engineering game theory in power systems.

编辑：王彦博

审核：王伟

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P2P transaction method for distributed energy prosumers based on reputation value

【论文推荐】东北电力大学 姜涛等：考虑信誉值的分布式能源产消者P2P交易策略研究

郑重声明

【论文推荐】东北电力大学姜涛等：考虑信誉值的分布式能源产消者P2P交易策略研究