P2P交易市场下考虑农机电池的农村集中-分散式储能系统双层优化调控研究

罗西; 韩明玥; 郑艳宁; 黄文渊

doi:10.19912/j.0254-0096.tynxb.2025-0233

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P2P交易市场下考虑农机电池的农村集中-分散式储能系统双层优化调控研究

更新时间：2026-07-22

- P2P交易市场下考虑农机电池的农村集中-分散式储能系统双层优化调控研究
- P2P交易市场下考虑农机电池的农村集中-分散式储能系统双层优化调控研究
- 太阳能学报 2026年47卷第6期页码：573-585
- 作者机构：
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- DOI：10.19912/j.0254-0096.tynxb.2025-0233
  中图分类号： TK01
- 网络首发：2026-07-08，
  
  纸质出版：2026
- 稿件说明：
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罗西, 韩明玥, 郑艳宁, 等. P2P交易市场下考虑农机电池的农村集中-分散式储能系统双层优化调控研究[J]. 太阳能学报, 2026,47(6):573-585.

罗西, 韩明玥, 郑艳宁, et al. P2P交易市场下考虑农机电池的农村集中-分散式储能系统双层优化调控研究[J]. 2026, 47(6): 573-585.
罗西, 韩明玥, 郑艳宁, 等. P2P交易市场下考虑农机电池的农村集中-分散式储能系统双层优化调控研究[J]. 太阳能学报, 2026,47(6):573-585. DOI： 10.19912/j.0254-0096.tynxb.2025-0233.

罗西, 韩明玥, 郑艳宁, et al. P2P交易市场下考虑农机电池的农村集中-分散式储能系统双层优化调控研究[J]. 2026, 47(6): 573-585. DOI： 10.19912/j.0254-0096.tynxb.2025-0233.

摘要

由于集中优化的常规储能系统调控策略难以满足农村集中-分散式储能的运行需求

以关中平原某典型农村为例

提出一种基于组合双向拍卖的分散式储能点对点（P2P）交易机制

在交易环境下建立基于主从博弈的农村集中-分散式储能系统双层优化调控模型并计算求解。结果表明：P2P交易在数量与时间上均受农业生产规律的高度影响;P2P交易使集中-分散式储能系统中各主体的运行成本降低4.96%

碳排放量降低10.41%

光伏消纳率提升18.04%;不同类型农户的年用电成本均因分散式储能容量的增加而降低

且引入P2P交易后降幅更为显著

对于屋顶光伏装机大、用电需求小、储能资源充足的农户

其成本降幅尤为突出;储能运营商则会因分散式储能容量的增加而收益受损

且引入P2P交易后收益会进一步降低

但可通过适当收取运营管理费的方式得到补偿。

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.

关键词

Keywords

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