电源学报

考虑超短期负荷预测的火储联合一次调频控制策略

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孙浩益 , 于会群 , 杜辰坤 , 徐春梅

电源学报 | 电力电子化电力系统 2026,24(7): 204-212

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电源学报 |电力电子化电力系统 2026 , 24 (7) : 204 -212

考虑超短期负荷预测的火储联合一次调频控制策略

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徐春梅（1982—　），女，博士，讲师。研究方向：故障诊断，系统辩识。E-mail：xuchunmei@shiep.edu.cn

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徐春梅（1982—　），女，博士，讲师。研究方向：故障诊断，系统辩识。E-mail：xuchunmei@shiep.edu.cn

孙浩益, 于会群, 杜辰坤, 徐春梅

作者信息

上海电力大学自动化工程学院，上海　200090

通讯作者:

于会群（1978—　），女，通信作者，博士，副教授。研究方向：智能发电控制，新型电力系统控制与运行优化。E-mail：yuhuiqun@shiep.edu.cn。

作者简介:

孙浩益（1996—　），男，硕士研究生。研究方向：一次调频，负荷预测。E-mail：13817480885@163.com

杜辰坤（2000—　），男，硕士研究生。研究方向：负荷预测。E-mail：549385946@qq.com

徐春梅（1982—　），女，博士，讲师。研究方向：故障诊断，系统辩识。E-mail：xuchunmei@shiep.edu.cn

Thermal-storage Combined Primary Frequency Regulation Control Strategy Considering Ultra-short-term Load Forecasting

Haoyi SUN, Huiqun YU, Chenkun DU, Chunmei XU

Affiliations

College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China

出版时间: 2026-07-30 doi: 10.13234/j.issn.2095-2805.2026.7.204

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摘要

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为提高储能辅助火电机组参与一次调频的稳定性和可靠性，提出一种考虑超短期负荷预测的火储联合一次调频控制策略。双层控制策略分为负荷预测层和一次调频层：负荷预测层通过图卷积网络-双向门控循环单元GCN-BiGRU（graph convolutional network-bidirectional gated recurrent unit）与改进时序卷积网络iTCN（improved temporal convolutional network）的组合预测模型进行超短期负荷预测，得到调频需求；一次调频层根据调频需求，使用改进蜻蜓算法DA（dragonfly algorithm），以频率偏差最小为目标，动态调整虚拟下垂控制和虚拟惯性控制的单位调节功率。最后在MATLAB平台中搭建仿真模型，对比分析在连续负荷扰动工况下不同控制策略的频率偏差数据及电池荷电状态SOC（state of charge）曲线，验证所提控制策略可以有效提高调频效果并对电池SOC的维持有一定改善作用。

关键词

超短期负荷预测 / 储能 / 门控循环单元 / 时序卷积网络 / 蜻蜓算法 / 一次调频

Abstract

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In order to improve the stability and reliability of energy storage auxiliary thermal power units participating in primary frequency regulation, a control strategy for primary frequency regulation of energy storage auxiliary thermal power units considering ultra-short-term load prediction is proposed. The two-layer control strategy is divided into a load prediction layer and a primary frequency modulation layer. The load prediction layer uses a combination prediction model of graph convolutional network-bidirectional gated recurrent units (GCN-BiGRU) and improved temporal convolutional network (iTCN) to predict ultra-short-term load and obtain frequency modulation demand. The primary frequency modulation layer used an improved dragonfly algorithm to dynamically adjust the unit power of virtual droop control and virtual inertial control based on the frequency modulation requirements, with the goal of minimizing frequency deviation. Finally, a simulation model was built on the MATLAB platform to compare and analyze the frequency deviation data and the state of charge (SOC) curves of different control strategies under the working condition of continuous load perturbation, and verify that the control strategy proposed can effectively improve the effect of frequency modulation and maintain the state of charge to a certain extent.

Key words

Ultra-short-term load forecasting / energy storage / gated recurrent units / temporal convolutional networks / dragonfly algorithm (DA) / primary frequency control

引用本文

孙浩益, 于会群, 杜辰坤, 徐春梅. 考虑超短期负荷预测的火储联合一次调频控制策略. 电源学报, 2026 , 24 (7) : 204 -212 . DOI: 10.13234/j.issn.2095-2805.2026.7.204

Haoyi SUN, Huiqun YU, Chenkun DU, Chunmei XU. Thermal-storage Combined Primary Frequency Regulation Control Strategy Considering Ultra-short-term Load Forecasting[J]. Journal of Power Supply, 2026 , 24 (7) : 204 -212 . DOI: 10.13234/j.issn.2095-2805.2026.7.204

基金

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国网上海市电力公司科技资助项目(SGTYHT/23-JS-001)

参考文献

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文献

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参考文献引证文献

排序方式：

[1]

包斯嘉, 施志明, 张建, 等. 基于实测数据的新能源场站一次调频性能分段评价方法[J]. 电源学报, 2025, 23(7): 143-151. Bao Sijia, Shi Zhiming, Zhang Jian, et al. Segmented evaluation method for primary frequency regulation performance of renewable energy stations based on measured data[J]. Journal of Power Supply, 2025, 23(7): 143-151. (in Chinese)

[2]

陈文涛, 申韶鹏, 张世杰, 等. 储能电池产业发展、标准近况与对策建议[J]. 电源技术, 2025, 49(12): 2495-2500. Chen Wentao, Shen Shaopeng, Zhang Shijie, et al. Development, current standards and countermeasures of energy storage battery industry[J]. Chinese Journal of Power Sources, 2025, 49(12): 2495-2500. (in Chinese)

[3]

贺悝, 谭庄熙, 李欣然, 等. 考虑荷电状态一致性的分布式储能电站一次调频控制策略[J]. 高电压技术, 2024, 50(2): 902-913. He Kui, Tan Zhuangxi, Li Xinran, et al. Control strategy of primary frequency regulation for distributed energy storage stations considering SOC consensus[J]. High Voltage Engineering, 2024, 50(2): 902-913. (in Chinese)

[4]

孙培锋, 陆王琳, 白鹏, 等. 锂电池和超级电容混合储能辅助火电调频技术发展现状和趋势[J]. 动力工程学报, 2024, 44(3): 418-429. Sun Peifeng, Lu Wanglin, Bai Peng, et al. Development status and trends of lithium battery and supercapacitor hybrid energy storage assisted thermal power frequency regulation technology[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 418-429. (in Chinese)

[5]

于会群, 戚明鑫, 彭道刚, 等. 储能-火电联合一次调频的双层控制策略[J]. 热能动力工程, 2023, 38(6): 48-57. Yu Huiqun, Qi Mingxin, Peng Daogang, et al. Doublelayer control strategy of combined primary frequency regulation for battery energy storage system and thermal power unit[J]. Journal of Engineering for Thermal Energy and Power, 2023, 38(6): 48-57. (in Chinese)

[6]

曹钰, 姜彤, 刘炽, 等. 考虑频率特性及储能电池状态的电化学储能参与一次调频控制策略[J]. 储能科学与技术, 2023, 12(10): 3120-3130. Cao Yu, Jiang Tong, Liu Chi, et al. Electrochemical energy storage participation in primary frequency regulation control strategy considering frequency characteristics and energy storage battery state[J]. Energy Storage Science and Technology, 2023, 12(10): 3120-3130. (in Chinese)

[7]

陈彪, 王玮, 高嵩, 等. 计及灵活经济环保运行的火电-飞轮储能系统容量配置与调频参数协同优化[J]. 动力工程学报, 2024, 44(3): 376-384. Chen Biao, Wang Wei, Gao Song, et al. Co-optimization of capacity allocation and frequency control parameters for thermal power-flywheel energy storage system considering flexible, economical and environment friendly operation[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 376-384. (in Chinese)

[8]

于会群, 林涛, 戚明鑫. 基于SSA-VMD和双层模糊控制的火储联合调频策略[J]. 电源学报, 2025, 23(4): 274-285. Yu Huiqun, Lin Tao, Qi Mingxin. Combined frequency modulation strategy for thermal power and energy storage based on SSA-VMD and double-layer fuzzy control[J]. Journal of Power Supply, 2025, 23(4): 274-285. (in Chinese)

[9]

刘英培, 田仕杰, 梁海平, 等. 考虑SOC的电池储能系统一次调频策略研究[J]. 电力系统保护与控制, 2022, 50(13): 107-118. Liu Yingpei, Tian Shijie, Liang Haiping, et al. Control strategy of a battery energy storage system considering SOC in primary frequency regulation of power grid[J]. Power System Protection and Control, 2022, 50(13): 107-118. (in Chinese)

[10]

李培强, 丰云鹤, 李欣然, 等. 考虑超短期负荷预测的储能电池参与电网一次调频控制策略[J]. 电力系统自动化, 2019, 43(19): 87-93, 148. Li Peiqiang, Feng Yunhe, Li Xinran, et al. Control strategy for energy storage battery participating in primary frequency regulation of power grid considering ultra-short-term load forecasting[J]. Automation of Electric Power Systems, 2019, 43(19): 87-93, 148. (in Chinese)

[11]

高东学, 李文启, 李程昊, 等. 基于负荷预测的储能功率分配优化策略[J]. 可再生能源, 2021, 39(4): 554-560. Gao Dongxue, Li Wenqi, Li Chenghao, et al. Optimization strategy of energy storage power allocation based on load forecasting[J]. Renewable Energy Resources, 2021, 39(4): 554-560. (in Chinese)

[12]

任立腾, 张学军, 闫来清, 等. 基于参与因子的储能电站一次调频控制策略[J]. 电气工程学报, 2024, 19(2): 200-209. Ren Liteng, Zhang Xuejun, Yan Laiqing, et al. Primary frequency regulation control strategy of energy storage power plant based on participation factor[J]. Journal of Electrical Engineering, 2024, 19(2): 200-209. (in Chinese)

[13]

于会群, 靳东辉, 彭道刚, 等. 考虑周期损耗的储能-火电联合调频策略[J]. 电力系统及其自动化学报, 2022, 34(9): 102-109. Yu Huiqun, Jin Donghui, Peng Daogang, et al. Energy storage-thermal power joint frequency regulation strategy considering cycle loss[J]. Proceedings of the CSU-EPSA, 2022, 34(9): 102-109. (in Chinese)

[14]

吴军英, 路欣, 刘宏, 等. 基于Spearman-GCN-GRU模型的超短期多区域电力负荷预测[J]. 中国电力, 2024, 57(6): 131-140. Wu Junying, Lu Xin, Liu Hong, et al. Ultra-short-term multi-region power load forecasting based on spearman-GCN-GRU model[J]. Electric Power, 2024, 57(6): 131-140. (in Chinese)

[15]

任爽, 杨凯, 商继财, 等. 基于CNN-BiGRU-Attention的短期电力负荷预测[J]. 电气工程学报, 2024, 19(1): 344-350. Ren Shuang, Yang Kai, Shang Jicai, et al. Short-term power load forecasting based on CNN-BiGRU-attention[J]. Journal of Electrical Engineering, 2024, 19(1): 344-350. (in Chinese)

[16]

李军徽, 侯涛, 穆钢, 等. 基于权重因子和荷电状态恢复的储能系统参与一次调频策略[J]. 电力系统自动化, 2020, 44(19): 63-72. Li Junhui, Hou Tao, Mu Gang, et al. Primary frequency regulation strategy with energy storage system based on weight factors and state of charge recovery[J]. Automation of Electric Power Systems, 2020, 44(19): 63-72. (in Chinese)

[17]

Liu Mingping, Qin Hao, Cao Ran, et al. Short-term load forecasting based on improved TCN and DenseNet[J]. IEEE Access, 2022, 10: 115945-115957.

[18]

Zuo Kewen. Integrated forecasting models based on LSTM and TCN for short-term electricity load forecasting[C]//2023 9th International Conference on Electrical Engineering, Control and Robotics (EECR). Wuhan, China, 2023: 207-211.

[19]

李军徽, 高卓, 应鸿, 等. 基于动态下垂系数与SOC基点的储能一次调频控制策略[J]. 电力系统保护与控制, 2021, 49(5): 1-10. Li Junhui, Gao Zhuo, Ying Hong, et al. Primary frequency regulation control strategy of energy storage based on dynamic droop coefficient and SOC reference[J]. Power System Protection and Control, 2021, 49(5): 1-10. (in Chinese)

[20]

韩鹏, 陈锋. 一种改进的多目标蜻蜓优化算法[J]. 微型机与应用, 2017, 36(20): 27-29, 33. Han Peng, Chen Feng. Improved multi-objective dragon-fly optimization algorithm[J]. Microcomputer & Its Applications, 2017, 36(20): 27-29, 33. (in Chinese)

[21]

冯建鑫, 王雅雷, 王强, 等. 改进蜻蜓算法的快速反射镜自抗扰控制[J]. 光学　精密工程, 2021, 29(6): 1301-1310. Feng Jianxin, Wang Yalei, Wang Qiang, et al. Active disturbance rejection controller of fast steering mirror based on improved dragonfly algorithm[J]. Optics and Precision Engineering, 2021, 29(6): 1301-1310. (in Chinese)

[22]

薛飞, 马鑫, 田蓓, 等. 基于改进蜻蜓算法的光伏全局最大功率追踪[J]. 中国电力, 2022, 55(2): 131-137. Xue Fei, Ma Xin, Tian Bei, et al. Photovoltaic global maximum power tracking based on improved dragonfly algorithm[J]. Electric Power, 2022, 55(2): 131-137. (in Chinese)

[23]

吴启帆, 宋新立, 张静冉, 等. 电池储能参与电网一次调频的自适应综合控制策略研究[J]. 电网技术, 2020, 44(10): 3829-3836. Wu Qifan, Song Xinli, Zhang Jingran, et al. Study on self-adaptation comprehensive strategy of battery energy storage in primary frequency regulation of power grid[J]. Power System Technology, 2020, 44(10): 3829-3836. (in Chinese)

2026年第24卷第7期

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文章信息

doi: 10.13234/j.issn.2095-2805.2026.7.204

接收时间：2024-09-11
首发时间：2026-10-29
出版时间：2026-07-30

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出版历史

收稿日期：2024-09-11
修回日期：2024-12-02
录用日期：2024-12-06

基金

Science and Technology Project of State Grid Shanghai Electric Power Company(SGTYHT/23-JS-001)

国网上海市电力公司科技资助项目(SGTYHT/23-JS-001)

作者信息

上海电力大学自动化工程学院，上海　200090

通讯作者:

于会群（1978—　），女，通信作者，博士，副教授。研究方向：智能发电控制，新型电力系统控制与运行优化。E-mail：yuhuiqun@shiep.edu.cn。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2026.7.204

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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