基于多时间尺度组合代理购电复盘的省内优化决策技术

李彬; 李若松; 孟子轩; 张雨蒙

doi:10.11930/j.issn.1004-9649.202506029

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

基于多时间尺度组合代理购电复盘的省内优化决策技术

全国统一电力市场耦合运营机制创新与关键技术 | 更新时间：2026-07-01

- 基于多时间尺度组合代理购电复盘的省内优化决策技术
- Provincial optimal decision-making technology based on multi-time-scale combined agent power purchase review
- 中国电力 2026年59卷第6期页码：89-100
- 作者机构：
  
  华北电力大学电气与电子工程学院,北京,102206
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（52177082）。
- DOI：10.11930/j.issn.1004-9649.202506029
  中图分类号：
- 网络首发：2026-06-22，
  
  纸质出版：2026
- 稿件说明：
移动端阅览
李彬, 李若松, 孟子轩, 张雨蒙. 基于多时间尺度组合代理购电复盘的省内优化决策技术[J]. 中国电力, 2026, 59(6): 89-100.

LI Bin, LI Ruosong, MENG Zixuan, et al. Provincial optimal decision-making technology based on multi-time-scale combined agent power purchase review[J]. 2026, 59(6): 89-100.
李彬, 李若松, 孟子轩, 张雨蒙. 基于多时间尺度组合代理购电复盘的省内优化决策技术[J]. 中国电力, 2026, 59(6): 89-100. DOI： 10.11930/j.issn.1004-9649.202506029.

LI Bin, LI Ruosong, MENG Zixuan, et al. Provincial optimal decision-making technology based on multi-time-scale combined agent power purchase review[J]. 2026, 59(6): 89-100. DOI： 10.11930/j.issn.1004-9649.202506029.

摘要

随着电力市场化改革的推进，工商业用户将逐步全面进入市场，未进入市场的用户由电网企业代理购电。作为代理购电业务的关键主体，统筹安排多时间尺度市场购电，降低购电成本，对电网企业的运营有重要意义。梳理电网企业代理购电工作流程，构建计及年度、月度、现货市场的电网企业年度购电决策复盘优化模型，采用遗传算法和基于卷积神经网络（convolutional neural network，CNN）-长短期记忆网络（long short-term memory network，LSTM）-注意力机制（attention mechanism，Attention）算法进行模型求解，通过算例分析验证所建模型的有效性。复盘结果显示，通过调整中长期与现货市场购电比例，可有效实现购电策略的降本增效。

Abstract

With the advancement of electricity market reform

industrial and commercial users will gradually enter the market

while the users not yet entering the market will purchase electricity through agents from grid companies. As key entities in agent-based electricity purchase

grid companies play a significant role in coordinating electricity purchases across multi-time-scale markets to reduce purchase costs

which is crucial for their operational efficiency. This study outlines the workflow of agent power purchase for power grid companies and establishes an annual power purchase decision review and optimization model that considers annual

monthly

and spot markets. The model is solved using the genetic algorithm and convolutional neural network (CNN) - long short-term memory network (LSTM) - attention mechanism (Attention)

and the model's effectiveness is verified through case studies. The review results show that adjusting the power purchase ratio between the medium and long-term market and the spot market can effectively achieve cost reduction and efficiency improvement of power purchase strategies.

关键词

Keywords

references

1王斯琪, 曹昉, 姚力. 计及多级市场代理购电成本传导风险的分时电价定价模型[J]. 中国电力, 2025, 58 (11): 25- 37.

WANG Siqi, CAO Fang, YAO Li. Time-of-use pricing model considering the risk of cost transmission in multilevel market agent electricity purchase[J]. Electric Power, 2025, 58 (11): 25- 37.

2李建林, 张梦圆, 王茜, 等. 计及风光不确定性的现货-调频市场联合出清策略[J]. 电力工程技术, 2025, 44 (3): 53- 63.

LI Jianlin, ZHANG Mengyuan, WANG Qian, et al. Joint clearing strategy in electricity spot market and frequency regulation market considering the uncertainty of wind and solar[J]. Electric Power Engineering Technology, 2025, 44 (3): 53- 63.

3张静, 王建国, 车权, 等. 分段线性考核机制下售电公司购电策略优化[J]. 电力需求侧管理, 2022, 24 (4): 91- 97.

ZHANG Jing, WANG Jianguo, CHE Quan, et al. Optimization of electricity purchase strategy of electricity sales company under piecewise linear evaluation mechanism[J]. Power Demand Side Management, 2022, 24 (4): 91- 97.

4陈彧辰, 张婷婷, 王佳妮, 等. 可再生能源电力消纳责任权重下售电商分月购售电滚动优化模型[J]. 现代电力, 2025, 42 (1): 137- 148.

CHEN Yuchen, ZHANG Tingting, WANG Jiani, et al. Monthly rolling optimization model for electricity sellers considering the weight of renewable energy power consumption responsibility[J]. Modern Electric Power, 2025, 42 (1): 137- 148.

5贾晨, 杜欣慧. 中长期交易机制下售电公司购电策略优化[J]. 中国电力, 2019, 52 (9): 140- 147.

JIA Chen, DU Xinhui. Optimization of electricity purchasing strategy for electricity retailers under the medium and long-term trading mechanism[J]. Electric Power, 2019, 52 (9): 140- 147.

6李超英, 檀勤良. 基于智能体建模的新型电力系统下火电企业市场交易策略[J]. 中国电力, 2024, 57 (2): 212- 225.

LI Chaoying, TAN Qinliang. Market trading strategy for thermal power enterprise in new power system based on agent modeling[J]. Electric Power, 2024, 57 (2): 212- 225.

7刘姜伟, 陈亦平, 肖云鹏, 等. 水电参与电力市场研究综述[J]. 中国电力, 2025, 58 (6): 156- 171.

LIU Jiangwei, CHEN Yiping, XIAO Yunpeng, et al. Research overview of hydropower participation in electricity market[J]. Electric Power, 2025, 58 (6): 156- 171.

8张杰, 薛太林, 闫祥东, 等. 基于VaR的大用户购电优化模型[J]. 电气自动化, 2022, 44 (3): 38- 40, 43.

ZHANG Jie, XUE Tailin, YAN Xiangdong, et al. VaR-based optimization model of large consumers' electricity purchase[J]. Electrical Automation, 2022, 44 (3): 38- 40, 43.

9赵书强, 宋金历, 王傲儿, 等. 考虑新能源-火电双边调峰交易分时竞价博弈的电力现货市场运行优化[J]. 太阳能学报, 2024, 45 (10): 153- 161.

ZHAO Shuqiang, SONG Jinli, WANG Aoer, et al. Power spot market operation optimization considering time-sharing bidding game of new energy-thermal power bilateral peak-load trading[J]. Acta Energiae Solaris Sinica, 2024, 45 (10): 153- 161.

10李丹阳, 刘鸿鹏, 韩旭, 等. 考虑新能源市场容量价格的新型电力现货市场交易机制设计[J]. 电力自动化设备, 2026, 46 (2): 194- 204.

LI Danyang, LIU Hongpeng, HAN Xu, et al. Design of trading mechanism for new electricity spot market considering market capacity price of renewable energy[J]. Electric Power Automation Equipment, 2026, 46 (2): 194- 204.

12陈黎军, 潘熙, 黄茜, 等. 电网企业代理购电风险及其策略优化研究[J]. 广东电力, 2024, 37 (1): 39- 48.

CHEN Lijun, PAN Xi, HUANG Qian, et al. Study on electricity purchasing agent service and strategy optimization of power grid enterprises[J]. Guangdong Electric Power, 2024, 37 (1): 39- 48.

13李虎军, 赵文杰, 白宏坤, 等. 考虑青海直流的河南省电力公司购电优化决策[J]. 电气工程学报, 2022, 17 (4): 300- 308.

LI Hujun, ZHAO Wenjie, BAI Hongkun, et al. Optimal purchase decision of Henan electric power company considering Qinghai direct current[J]. Journal of Electrical Engineering, 2022, 17 (4): 300- 308.

14项中明, 曾凯乐, 杨承河, 等. 考虑受端电网保供风险的省间现货购电策略[J]. 浙江电力, 2024, 43 (12): 15- 27.

XIANG Zhongming, ZENG Kaile, YANG Chenghe, et al. An electricity purchasing strategy for interprovincial spot market considering the risk of power supply security in the receiving-end grid[J]. Zhejiang Electric Power, 2024, 43 (12): 15- 27.

15刘敦楠, 许小峰, 李根柱, 等. 考虑供需不确定性与价格波动的电网企业代理购电优化决策[J]. 电网技术, 2023, 47 (7): 2691- 2705.

LIU Dunnan, XU Xiaofeng, LI Genzhu, et al. Agent power purchase decision of power grid enterprises considering uncertainty of supply and demand and price fluctuation[J]. Power System Technology, 2023, 47 (7): 2691- 2705.

16吴华华, 张思, 甘雯, 等. 面向多时间尺度市场交易的电网企业代理购电决策模型[J]. 浙江电力, 2023, 42 (9): 42- 51.

WU Huahua, ZHANG Si, GAN Wen, et al. Decision-making model of electricity purchasing agent service of power grid enterprises for multi-time-scale market transactions[J]. Zhejiang Electric Power, 2023, 42 (9): 42- 51.

17李伏才, 李湘旗, 罗朝春, 等. 考虑多重约束和计划-市场协调的跨省跨区月度购电决策[J]. 电力科学与技术学报, 2021, 36 (1): 206- 215.

LI Fucai, LI Xiangqi, LUO Zhaochun, et al. Monthly purchasing decisions across provinces and regions considering multiple constraints and plan-market coordination[J]. Journal of Electric Power Science and Technology, 2021, 36 (1): 206- 215.

18李彦斌, 王佳妮, 肖婷婷, 等. 计及风险的电网企业代理购电中长期分时段滚动交易决策方法[J]. 电网技术, 2023, 47 (10): 4237- 4245.

LI Yanbin, WANG Jiani, XIAO Tingting, et al. Rolling trading decision methodology of grid companies in time division medium- & long-term electricity market considering risk management[J]. Power System Technology, 2023, 47 (10): 4237- 4245.

19王景亮, 许喆, 陈晓东, 等. 计及能量-备用联合出清的区域电力市场增益分配机制[J]. 中国电力, 2025, 58 (10): 216- 224.

WANG Jingliang, XU Zhe, CHEN Xiaodong, et al. Gain allocation mechanism for regional electricity markets considering energy-reserve joint clearing[J]. Electric Power, 2025, 58 (10): 216- 224.

20宋铎洋, 薛田良, 李艺瀑, 等. 考虑风光不确定性的虚拟电厂合作博弈调度及收益分配策略[J]. 电力工程技术, 2025, 44 (1): 193- 206.

SONG Duoyang, XUE Tianliang, LI Yipu, et al. Cooperative game scheduling and revenue sharing strategy for virtual power plants considering scenery uncertainty[J]. Electric Power Engineering Technology, 2025, 44 (1): 193- 206.

21史岳, 王江波, 钟心蕊. 现货环境下的电网代理购电业务[J]. 中国电力企业管理, 2022 (19): 66- 68.

SHI Yue, WANG Jiangbo, ZHONG Xinrui. Electricity procurement agency of grid enterprises under spot market environment[J]. China Power Enterprise Management, 2022 (19): 66- 68.

23王禹荻, 谢宁, 王承民. 考虑购售电偏差费用协同优化的电网企业两阶段交易决策研究[J]. 电网技术, 2025, 49 (9): 3721- 3732.

WANG Yudi, XIE Ning, WANG Chengmin. Research on two-stage transaction decision of power grid enterprises considering collaborative optimization of purchase and sale deviation costs[J]. Power System Technology, 2025, 49 (9): 3721- 3732.

24王艺涵, 吴俊勇, 原梦遥, 等. 面向光伏消纳的配电网集群动态划分方法与优化运行策略[J]. 电力自动化设备, 2025, 45 (8): 122- 129, 147.

WANG Yihan, WU Junyong, YUAN Mengyao, et al. Dynamic partitioning method and optimized operation strategy for distribution network clusters considering photovoltaic integration[J]. Electric Power Automation Equipment, 2025, 45 (8): 122- 129, 147.

25HASHIM F A, HUSSIEN A G. Snake Optimizer: a novel meta-heuristic optimization algorithm[J]. Knowledge-Based Systems, 2022, 242, 108320.

26HUANG X F, YAN J W, ZHOU X, et al. Energy-efficient optimization method for air conditioning terminal systems in IDC based on genetic algorithm[J]. Energy, 2025, 333, 137502.

27YANG S B, TAN Z F, LIU Z X, et al. A multi-objective stochastic optimization model for electricity retailers with energy storage system considering uncertainty and demand response[J]. Journal of Cleaner Production, 2020, 277, 124017.

28CHARWAND M, GITIZADEH M. Risk-based procurement strategy for electricity retailers: different scenario-based methods[J]. IEEE Transactions on Engineering Management, 2020, 67 (1): 141- 151.

29DAI X M, LI Y P, ZHANG K F, et al. A robust offering strategy for wind producers considering uncertainties of demand response and wind power[J]. Applied Energy, 2020, 279, 115742.

30LIU X, LI Y, LIN X S, et al. Dynamic bidding strategy for a demand response aggregator in the frequency regulation market[J]. Applied Energy, 2022, 314, 118998.

31尚静怡, 张艺涵, 杨福旺, 等. 发电商策略性竞价对省间-省内现货市场影响与应对策略[J]. 中国电力, 2025, 58 (11): 1- 13.

SHANG Jingyi, ZHANG Yihan, YANG Fuwang, et al. Impacts and countermeasures of generators' strategic bidding on inter-provincial and intra-provincial spot markets[J]. Electric Power, 2025, 58 (11): 1- 13.

32吕文琪, 刘子文, 董晓霄, 等. 考虑灵活性资源可调容量和响应速度的集群划分方法[J]. 电力工程技术, 2024, 43 (5): 37- 47.

LV Wenqi, LIU Ziwen, DONG Xiaoxiao, et al. A cluster partitioning method considering adjustable capacity and response speed of flexible resources[J]. Electric Power Engineering Technology, 2024, 43 (5): 37- 47.

33蒲天骄, 韩笑. 新型电力系统中人工智能应用的关键技术[J]. 电力信息与通信技术, 2024, 22 (1): 1- 13.

PU Tianjiao, HAN Xiao. Research on key technologies in the application of artificial intelligence in new type power systems[J]. Electric Power Information and Communication Technology, 2024, 22 (1): 1- 13.

34王卫南, 艾芊, 李晓露, 等. 基于改进共识算法的虚拟电厂主从多链交易匹配机制[J]. 电力工程技术, 2024, 43 (5): 69- 80.

WANG Weinan, AI Qian, LI Xiaolu, et al. Virtual power plant master-slave multi-chain transaction matching mechanism based on improved consensus algorithm[J]. Electric Power Engineering Technology, 2024, 43 (5): 69- 80.

35赵丙镇, 孙爽, 李达, 等. 基于区块链的工业园区负荷与储能聚合可信交易研究[J]. 电力信息与通信技术, 2025, 23 (5): 52- 60.

ZHAO Bingzhen, SUN Shuang, LI Da, et al. Research on trusted transactions of industrial park load and energy storage aggregation based on blockchain[J]. Electric Power Information and Communication Technology, 2025, 23 (5): 52- 60.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

英国政府驱动的新能源差价合约设计及对中国的启示

基于多主体博弈的电力市场不平衡资金分摊优化方法

电碳耦合机制下多元主体综合成本分析

水电参与电力市场研究综述

国外高比例新能源消纳分析及对中国新能源可持续发展的建议