DOUBLE-LAYER OPTIMAL CONTROL OF RURAL CENTRALIZED-DISTRIBUTED ENERGY STORAGE SYSTEMS IN P2P TRADING MARKET CONSIDERING AGRICULTURAL MACHINERY BATTERIES

Luo Xi, Han Mingyue, Zheng Yanning, Huang Wenyuan

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (6) : 573-585.

PDF(2838 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(2838 KB)
Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (6) : 573-585. DOI: 10.19912/j.0254-0096.tynxb.2025-0233

DOUBLE-LAYER OPTIMAL CONTROL OF RURAL CENTRALIZED-DISTRIBUTED ENERGY STORAGE SYSTEMS IN P2P TRADING MARKET CONSIDERING AGRICULTURAL MACHINERY BATTERIES

  • Luo Xi, Han Mingyue, Zheng Yanning, Huang Wenyuan
Author information +
History +

Abstract

Currently, the centralized optimization regulation strategy for conventional energy storage systems struggles to meet the operational requirements of centralized-distributed energy storage systems in rural areas. To address this challenge, this study examines a typical village in the Central Shaanxi Plain, Shaanxi Province, China, and integrates the usage patterns of agricultural machinery batteries into energy storage regulation. A peer-to-peer (P2P) trading mechanism for distributed energy storage, based on a combinatorial double auction, is proposed. In the trading environment, a double-layer optimal regulation model for rural centralized-distributed energy storage systems is established using a Stackelberg game approach and computationally solves it. The results show that 1)P2P trading are highly influenced by agricultural production patterns in both quantity and time. 2)P2P trading reduces the operating cost of each subject in the centralized-distributed energy storage system by 4.96%, reduces carbon emissions by 10.41%, and increases the PV consumption rate by 18.04%. 3)The annual electricity cost of different types of rural households is reduced by the increase of decentralized energy storage capacity, the reduction is more significant after the introduction of P2P trading, and the cost reduction is especially prominent for rural households with large rooftop PV installations, small electricity demand, and sufficient energy storage resources. Energy storage operator will suffer from the increase in revenue due to the increase in decentralized energy storage capacity, and the revenue will be further reduced after the introduction of P2P trading, but can be compensated for by appropriately charging operation and management fees.

Key words

peer to peer trading / agricultural machinery batteries / distributed energy storage / centralized energy storage / optimal regulation / combinatorial double auction

Cite this article

Download Citations
Luo Xi, Han Mingyue, Zheng Yanning, Huang Wenyuan. DOUBLE-LAYER OPTIMAL CONTROL OF RURAL CENTRALIZED-DISTRIBUTED ENERGY STORAGE SYSTEMS IN P2P TRADING MARKET CONSIDERING AGRICULTURAL MACHINERY BATTERIES[J]. Acta Energiae Solaris Sinica. 2026, 47(6): 573-585 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0233

References

[1] 刘艳峰, 杨燕子, 罗西. 关中农村不同类型家庭夏季柔性用能负荷多目标优化调度研究[J]. 太阳能学报, 2023, 44(8): 110-118.
LIU Y F, YANG Y Z, LUO X.Multi-objective optimization scheduling model of flexible energy consumption load in summer for different types of rural households in Guanzhong plain[J]. Acta energiae solaris sinica, 2023, 44(8): 110-118.
[2] 孙英聪, 陈来军, 李笑竹, 等. 考虑资源相关性的新能源场站群集中式共享储能优化配置[J]. 太阳能学报, 2024, 45(7): 2-9.
SUN Y C, CHEN L J, LI X Z, et al.Optimal allocation of centralized shared energy storage for renewable energy station clusters with consideration of resource correlation[J]. Acta energiae solaris sinica, 2024, 45(7): 2-9.
[3] 闫东翔, 陈玥. 共享储能商业模式和定价机制研究综述[J]. 电力系统自动化, 2022, 46(23): 178-191.
YAN D X, CHEN Y.Review on business model and pricing mechanism for shared energy storage[J]. Automation of electric power systems, 2022, 46(23): 178-191.
[4] 朱金龙, 王维庆, 李笑竹, 等. 计及健康状态差异的集中式共享储能分级调控策略[J]. 太阳能学报, 2024, 45(7): 172-180.
ZHU J L, WANG W Q, LI X Z, et al.Hierarchical control strategy for centralized shared energy storage considering differences in health status[J]. Acta energiae solaris sinica, 2024, 45(7): 172-180.
[5] 国家发展改革委,国家能源局. 关于加快建设全国统一电力市场体系的指导意见[EB/OL]. 北京: 国家发展改革委, 2022.
National Development and Reform Commission(2022). Guiding opinions on accelerating the construction of a national unified electricity market system. Available at https://www.gov.cn/zhengce/zhengceku/2022-01/30/content_5671296.htm.
[6] 刘娟, 邹丹平, 陈毓春, 等. “互联网+”的客户侧分布式储能P2P共享模式运营机制及效益探讨[J]. 电网与清洁能源, 2020, 36(4): 97-105.
LIU J, ZOU D P, CHEN Y C, et al.Discussions on operation mechanism and benefits of customer-side distributed energy storage P2P sharing mode of “Internet+”[J]. Advances of power system & hydroelectric engineering, 2020, 36(4): 97-105.
[7] TUSHAR W, YUEN C, SAHA T K, et al.Peer-to-peer energy systems for connected communities: a review of recent advances and emerging challenges[J]. Applied energy, 2021, 282: 116131.
[8] 刘可真, 董敏, 杨春昊, 等. 基于纳什谈判的智能园区P2P电能交易优化运行[J]. 电力自动化设备, 2023, 43(5): 45-53.
LIU K Z, DONG M, YANG C H, et al.Optimal operation of P2P electric power trading in smart park based on Nash negotiation[J]. Electric power automation equipment, 2023, 43(5): 45-53.
[9] 郭琳, 陈先锋, 邓惠华, 等. 含分布式电源P2P交易的社区微网运营机制[J]. 电力建设, 2018, 39(7): 2-9.
GUO L, CHEN X F, DENG H H, et al.A framework of operating mechanism based on peer-to-peer transaction among distributed energy resources in community microgrid[J]. Electric power construction, 2018, 39(7): 2-9.
[10] 高红均, 张凡, 刘俊勇, 等. 考虑多产消者差异化特征的社区微网系统P2P交易机制设计[J]. 中国电机工程学报, 2022, 42(4): 1455-1470.
GAO H J, ZHANG F, LIU J Y, et al.Design of P2P transaction mechanism considering differentiation characteristics of multiple prosumers in community microgrid system[J]. Proceedings of the CSEE, 2022, 42(4): 1455-1470.
[11] LUO X, SHI W C, JIANG Y S, et al.Distributed peer-to-peer energy trading based on game theory in a community microgrid considering ownership complexity of distributed energy resources[J]. Journal of cleaner production, 2022, 351: 131573.
[12] LUO X, SHI W C.Optimal regulation of flexible loads in rural residential buildings considering mobile batteries: a case study in Shaanxi Province[J]. Building simulation, 2024, 17(7): 1065-1083.
[13] 田欣, 陈来军, 李笑竹, 等. 基于主从博弈和改进Shapley值的分布式光伏社区共享储能优化运行策略[J]. 电网技术, 2023, 47(6): 2252-2261.
TIAN X, CHEN L J, LI X Z, et al.Optimal scheduling for energy storage sharing among communities with photovoltaic resource based on Stackelberg game and improved shapley value[J]. Power system technology, 2023, 47(6): 2252-2261.
[14] 孙偲, 郑天文, 陈来军, 等. 基于组合双向拍卖的共享储能机制研究[J]. 电网技术, 2020, 44(5): 1732-1739.
SUN C, ZHENG T W, CHEN L J, et al.Energy storage sharing mechanism based on combinatorial double auction[J]. Power system technology, 2020, 44(5): 1732-1739.
[15] 殷辉, 陆信辉, 周开乐. 分布式与集中式储能并存的微电网负荷优化调度[J]. 中国管理科学, 2023, 31(2): 118-128.
YIN H, LU X H, ZHOU K L.Optimal load dispatch for microgrid with distributed and centralized energy storage systems[J]. Chinese journal of management science, 2023, 31(2): 118-128.
[16] 张桂红, 刘飞, 田旭, 等. 基于用户点对点交易的共享储能协同优化策略[J]. 南方电网技术, 2023, 17(8): 143-151.
ZHANG G H, LIU F, TIAN X, et al.Collaborative optimization strategy of shared energy storage based on user point-to-point transaction[J]. Southern power system technology, 2023, 17(8): 143-151.
[17] 杨冬锋, 王轶琳, 杨士慧, 等. 基于混合博弈的多微网-共享储能双层能量交易策略[J]. 高电压技术, 2024, 50(4): 1392-1402.
YANG D F, WANG Y L, YANG S H, et al.Multi-microgrid and shared energy storage two-layer energy trading strategy based on hybrid game[J]. High voltage engineering, 2024, 50(4): 1392-1402.
[18] ZHU Z Y, WANG Y, YUAN M, et al.Energy saving and carbon reduction schemes for families with the household PV-BES-EV system[J]. Energy and buildings, 2023, 288: 113007.
[19] 周楠, 樊玮, 刘念, 等. 基于需求响应的光伏微网储能系统多目标容量优化配置[J]. 电网技术, 2016, 40(6): 1709-1716.
ZHOU N, FAN W, LIU N, et al.Battery storage multi-objective optimization for capacity configuration of PV-based microgrid considering demand response[J]. Power system technology, 2016, 40(6): 1709-1716
[20] 陕西省发展和改革委员会价格处. 关于调整陕西电网目录销售电价有关事项的通知[EB/OL]. 西安: 陕西省发展和改革委员会,2021.
Shaanxi Provincial Development and Reform Commission (2021). Notice regarding the adjustment of matters related to thecatalog sales electricity price of Shaanxi power grid[EB/OL]. https://sndrc.shaanxi.gov.cn/sy/xwxx/gggg/202304/t20230412_3119247.html.
[21] SHEWALE A, MOKHADE A, FUNDE N, et al.An overview of demand response in smart grid and optimization techniques for efficient residential appliance scheduling problem[J]. Energies, 2020, 13(16): 4266.
PDF(2838 KB)

Accesses

Citation

Detail

Sections
Recommended

/