Page 87 - 《中国电力》2026年第5期

王泽森等：虚拟电厂协同的自适应二次调频策略 2026 年第 5 期

参考文献： power plant operation considering the active recovery of remaining
available regulating capacity[J]. Integrated Intelligent Energy, 2025,
47(7): 55–63.
[1] 刘佳钰, 梁晓斌, 黄锡芳, 等. 多类型储能参与电力系统频率调节的
[8] 朱靖恺, 崔勇, 杜洋, 等. 采用改进量子粒子群优化算法的虚拟电厂
协同控制策略 [J]. 中国电力, 2026, 59(1): 124–132.
参与二次调频两阶段优化 [J]. 电力科学与技术学报, 2024, 39(4):
LIU Jiayu, LIANG Xiaobin, HUANG Xifang, et al. Coordinated
112–120.
control strategy for multi-type energy storage participating in power
ZHU Jingkai, CUI Yong, DU Yang, et al. Two-stage optimization of
system frequency regulation[J]. Electric Power, 2026, 59(1): 124–
virtual power plant participating in secondary frequency regulation
132.
[2] 邓祥力, 陈聪颖. 频率时空差异下考虑功率波动的新能源主动调频 using improved quantum particle swarm optimization algorithm[J].
优化方法 [J]. 浙江电力, 2025, 44(12): 22–34. Journal of Electric Power Science and Technology, 2024, 39(4):
112–120.
DENG Xiangli, CHEN Congying. An optimization method for active
[9] 江佳美, 李嘉媚, 艾芊, 等. 基于图神经网络预测与主从博弈的虚拟
frequency regulation of renewable energy accounting for power
电厂调频套餐设计 [J]. 电力系统自动化, 2025, 49(21): 74–84.
fluctuations under spatiotemporal differences[J]. Zhejiang Electric
JIANG Jiamei, LI Jiamei, AI Qian, et al. Frequency regulation
Power, 2025, 44(12): 22–34.
[3] 刘海涛, 朱康凯, 王宇昊, 等. 考虑“源-荷”双侧调频的电力系统 package design for virtual power plants based on graph neural
双层优化调度模型 [J]. 电测与仪表, 2025, 62(11): 154–166. network prediction and Stackelberg game[J]. Automation of Electric
LIU Haitao, ZHU Kangkai, WANG Yuhao, et al. Bi-level unit Power Systems, 2025, 49(21): 74–84.
commitment optimized dispatching model of power system with [10] 黄磊. 基于 LMI 的时滞系统的分布式 H∞负荷频率控制 [J]. 电气
'source-load' bilateral frequency regulation[J]. Electrical Measure- 自动化, 2023, 45(5): 20–22, 26.
HUANG Lei. Distributed H ∞ load frequency control for time-delay
ment & Instrumentation, 2025, 62(11): 154–166.
[4] 王泽森, 王宣元, 孔帅皓, 等. 计及多时间尺度碳排放因子的虚拟电 systems based on LMI[J]. Electrical Automation, 2023, 45(5): 20–22,
厂-配电网协同调度 [J]. 中国电力, 2026, 59(3): 14–26. 26.
WANG Zesen, WANG Xuanyuan, KONG Shuaihao, et al. [11] SHANGGUAN X C, HE Y, ZHANG C K, et al. Load frequency
Coordinated dispatch of virtual power plant and distribution network control of time-delayed power system based on event-triggered
considering multi-time scale carbon emission factors[J]. Electric communication scheme[J]. Applied Energy, 2022, 308: 118294.
Power, 2026, 59(3): 14–26. [12] 王志鹏, 陈向勇, 刘华伟, 等. 多区域互联电力系统的自适应滑模负
[5] 卓定明, 杜瑞, 杨远通, 等. 基于生产模拟与熵权法的“核蓄”联营 载频率控制 [J]. 控制理论与应用, 2023, 40(7): 1252–1260.
规划 [J]. 中国电力, 2025, 58(10): 180–187. WANG Zhipeng, CHEN Xiangyong, LIU Huawei, et al. Adaptive
ZHUO Dingming, DU Rui, YANG Yuantong, et al. Nuclear-pumped sliding mode load frequency control for multi-area interconnected
storage combined operation planning based on production simulation power systems[J]. Control Theory & Applications, 2023, 40(7):
and entropy weight method[J]. Electric Power, 2025, 58(10): 1252–1260.
180–187. [13] WU L Z, YANG H, WEI J P, et al. Research on distributed
[6] 屈涛涛, 綦晓, 蒋文珂, 等. 考虑风电机组虚拟惯量的新型电力系统 coordination control method for microgrid system based on finite-
频率分布式模型预测控制策略 [J]. 综合智慧能源, 2022, 44(10): time event-triggered consensus algorithm[J]. Chinese Journal of
25–32. Electrical Engineering, 2024, 10(2): 103–115.
QU Taotao, QI Xiao, JIANG Wenke, et al. Frequency distributed [14] 李英, 王金平, 刁怀佳, 等. 基于正余弦优化算法的两区域多电源互
model predictive control strategy for the new power system 联电力系统负荷频率控制 [J]. 热能动力工程, 2025, 40(5): 141–
considering virtual inertia of wind turbines[J]. Integrated Intelligent 149.
Energy, 2022, 44(10): 25–32. LI Ying, WANG Jinping, DIAO Huaijia, et al. Load frequency
[7] 王俊, 杜炜, 王馨, 等. 考虑剩余可用调节能力主动恢复的虚拟电厂 control of a two-area multi-source interconnected power system
优化运行 [J]. 综合智慧能源, 2025, 47(7): 55–63. based on sine cosine optimization algorithm[J]. Journal of Engineer-
WANG Jun, DU Wei, WANG Xin, et al. Optimization of virtual ing for Thermal Energy and Power, 2025, 40(5): 141–149.

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