基于分布式信息交互的微电网多智能楼宇区间滚动P2P电能交易策略

doi:10.19595/j.cnki.1000-6753.tces.241031

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摘要随着分布式资源在配电网中渗透率不断提高,兼具产消双重属性的智能楼宇间电能交易为分布式能源就近消纳带来新的机遇和挑战。针对含多智能楼宇的微电网系统,该文提出一种微电网多智能楼宇区间滚动点对点（P2P）电能交易分布式信息交互优化策略。首先,考虑智能楼宇灵活性资源的聚合特性,以聚合功率区间形式表征分布式光伏发电预测区间结果与灵活性资源可行域范围,建立微电网多智能楼宇滚动P2P交易模型;其次,将光伏出力不确定性给P2P交易带来的风险成本进行量化,建立微电网多智能楼宇经济调度模型,在此基础上,将楼宇间P2P交易功率作为一致性变量,基于相邻楼宇间的信息交互进行分布式求解,得出P2P交易功率与交易电价;最后,通过算例验证该文模型可在保证隐私性的同时,有效地提高微电网多智能楼宇系统的经济性。

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	张虹
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关键词 ：微电网, 智能楼宇, 聚合功率区间, 滚动P2P电能交易, 分布式信息交互

Abstract：In recent years, with the in-depth reform of the electricity market and the continuous improvement of the penetration rate of distributed resources in the distribution network, the energy trading between intelligent buildings with dual attributes of production and consumption has brought new opportunities and challenges to the nearby consumption of distributed energy. However, for the microgrid system with multi-intelligent buildings, there are defects such as large amount of communication information, low robustness and user privacy in the process of power trading. At the same time, it will also be affected by various uncertain factors such as the access of new energy and the lack of timeliness of transactions. In order to solve the above problems, this paper proposes a rolling P2P energy trading optimization strategy based on distributed information interaction for multi-intelligent buildings in microgrid.
Firstly, considering the aggregation characteristics of various flexible resources in intelligent buildings, the prediction interval results of distributed photovoltaic power generation and the feasible range of flexible resources are characterized in the form of aggregation power interval by Minkowski summation theory, and the aggregation interval model of P2P transaction is established. Among them, the distributed photovoltaic prediction interval is modeled by transforming the benchmark output at different confidence levels into the prediction quantile for the feasible region. At the same time, an interval rolling P2P energy trading framework is constructed. During the energy management period, each building participates in the rolling P2P energy trading by combining the aggregated power interval with its own electricity purchase and sale strategy. Secondly, the risk cost brought by the uncertainty of photovoltaic output to P2P transactions is quantified by CVaR, and an economic dispatch model with the minimum total operating cost of microgrid multi-intelligent buildings is established. On this basis, the P2P transaction power between buildings is used as a consistency variable, and the P2P transaction power and transaction price are obtained based on the distributed solution of the information interaction between adjacent buildings, and the energy transaction period is continuously pushed backward until it meets the requirements of all intelligent buildings in the microgrid.
In the case analysis, the scheduling results of different buildings in the microgrid and the optimization results of different algorithms are compared respectively, which verifies the effectiveness of the interval rolling P2P energy trading model proposed in this paper. At the same time, the practicability and solution efficiency of the distributed information interaction algorithm in this paper have also been reflected. Through the example analysis, the following conclusions can be drawn: (1) Participating in the energy transaction between buildings in the form of aggregation interval fully taps the scheduling potential of flexible resources in buildings and improves the flexibility of coordinated scheduling of multi-intelligent buildings in microgrid. (2) Compared with the ordinary P2P trading, the rolling P2P energy trading improves the enthusiasm of intelligent buildings to participate in energy trading and the self-consumption level of distributed energy while taking into account the economy of system operation. (3) The distributed information interaction strategy proposed in this paper makes the multi-intelligent buildings in the microgrid only need to interact with the expected transaction volume information, and at the same time solve their own optimization problems in parallel, which has a good fit with the rolling P2P transaction mode. It avoids the problems of high computational pressure and privacy leakage, and improves the convergence speed of distributed information interaction. It has good scalability and can effectively solve the optimization iteration problem of large-scale intelligent buildings.

Key words： Microgrid intelligent buildings aggregation power interval rolling P2P energy trading distributed information interaction

收稿日期: 2024-06-17

PACS:

TM732

基金资助:吉林省科技厅科技发展计划重点科技研发资助项目（20240302094GX）

通讯作者: 张虹女,1973年生,博士,教授,硕士生导师,研究方向为新能源并网发电技术、电力系统稳定与控制。

作者简介: 张泽熙男,1999年生,硕士研究生,研究方向为分布式发电系统运行优化调度。E-mail：zhangzexi0414@126.com

引用本文:

张虹, 张泽熙, 李亚洲, 张连帅, 陆春晓. 基于分布式信息交互的微电网多智能楼宇区间滚动P2P电能交易策略[J]. 电工技术学报, 2025, 40(13): 4292-4305. Zhang Hong, Zhang Zexi, Li Yazhou, Zhang Lianshuai, Lu Chunxiao. A Rolling P2P Energy Trading Strategy Based on Distributed Information Interaction for Multi-Intelligent Buildings in Microgrids. Transactions of China Electrotechnical Society, 2025, 40(13): 4292-4305.

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