| [1] |
王程, 杨彪, 王晓晨. 电力“十四五”发展研究分析[J]. 中国电力企业管理, 2020, 38(13):29-31.
|
|
Wang Cheng, Yang Biao, Wang Xiaochen. Research and analysis on the development of electric power during the 14th five year plan period[J]. China Power Enterprise Management, 2020, 38(13):29-31.
|
| [2] |
孙华东, 李佳豪, 李文锋, 等. 大规模电力系统仿真用新能源场站模型结构及建模方法研究(一):模型结构[J]. 中国电机工程学报, 2023, 43(4):1378-1389.
|
|
Sun Huadong, Li Jiahao, Li Wenfeng, et al. Research on model structures and modeling methods of renewable energy station for large-scale power system simulation(I):Model structure[J]. Proceedings of the CSEE, 2023, 43(4):1378-1389.
|
| [3] |
孙华东, 李佳豪, 李文锋, 等. 大规模电力系统仿真用新能源场站模型结构及建模方法研究(二):机电暂态模型[J]. 中国电机工程学报, 2023, 43(6):2190-2202.
|
|
Sun Huadong, Li Jiahao, Li Wenfeng, et al. Research on model structures and modeling methods of renewable energy station for large-scale power system simulation(II):Electromechanical transient model[J]. Proceedings of the CSEE, 2023, 43(6): 2190-2202.
|
| [4] |
国家市场监督管理总局. 风力发电机组-故障电压穿越能力测试规程[M]. 北京: 中国标准出版社, 2018:3-10.
|
|
State Administration for Market Regulation. Wind turbines-Test procedure of voltage fault ride through[M]. Beijing: Standards Press of China, 2018:3-10.
|
| [5] |
薛飞, 李宏强, 李旭涛, 等. 基于LSTM神经网络的双馈风机控制参数辨识方法[J]. 中国电力, 2023, 56(6):31-39.
|
|
Xue Fei, Li Hongqiang, Li Xutao, et al. Identification method for control parameters of doubly fed induction generator based on LSTM neural network[J]. Electric Power, 2023, 56(6):31-39.
|
| [6] |
李辉, 吴优, 谢翔杰, 等. 基于改进PSO的双馈风电机组传动链参数辨识[J]. 太阳能学报, 2021, 42(12):134-142.
|
|
Li Hui, Wu You, Xie Xiangjie, et al. Parameter identification of transmission chain for double-fed wind turbine based on improved particle swarm optimization[J]. Acta Energiae Solaris Sinica, 2021, 42(12):134-142.
|
| [7] |
吴碧巧, 曾实, 王天一. 面向双馈风机的分层型免疫协同进化粒子群算法多参数辨识[J]. 科学技术与工程, 2019, 19(33):179-185.
|
|
Wu Biqiao, Zeng Shi, Wang Tianyi. Multi-parameter identification of co-evolutionary particle swarm optimization algorithm based on hierarchical-particle immune for doubly fed induction generator[J]. Science Technology and Engineering, 2019, 19(33):179-185.
|
| [8] |
孙超强, 潘学萍, 潘生云, 等. 风电场集电网络等值模型结构分析及参数辨识[J]. 电力自动化设备, 2020, 40(10): 85-91.
|
|
Sun Chaoqiang, Pan Xueping, Pan Shengyun, et al. Equivalent model structural analysis and parameter identification of wind farm collector network[J]. Electric Power Automation Equipment, 2020, 40(10):85-91.
|
| [9] |
陈鹏伟, 戚陈陈, 陈新, 等. 附加频率控制双馈风电场频率响应特性建模与参数辨识[J]. 电工技术学报, 2021, 36(15):3293-3307.
|
|
Chen Pengwei, Qi Chenchen, Chen Xin, et al. Frequency response modeling and parameter identification of doubly-fed wind farm with additional frequency control[J]. Transactions of China Electrotechnical Society, 2021, 36(15):3293-3307.
|
| [10] |
周昌平, 汪震, 甘德强, 等. 双馈风机并网系统高电压穿越控制策略稳定性分析[J]. 中国电机工程学报, 2022, 42(20):7415-7426.
|
|
Zhou Changping, Wang Zhen, Gan Deqiang, et al. Stability analysis of high voltage ride trough control strategy for DFIG integrated system[J]. Proceedings of the CSEE, 2022, 42(20):7415-7426.
|
| [11] |
罗嘉, 赵浩然, 高术宁, 等. 基于显式模型预测控制和改进虚拟阻抗的双馈风机低电压穿越策略[J]. 电网技术, 2021, 45(5):1716-1723.
|
|
Luo Jia, Zhao Haoran, Gao Shuning, et al. LVRT strategy for DFIG based on explicit model predictive control and improved virtual impedance[J]. Power System Technology, 2021, 45(5):1716-1723.
|
| [12] |
许饶琪, 彭晓涛, 秦世耀, 等. 基于M序列的双馈风机变流器参数辨识方法研究[J]. 电网技术, 2022, 46(2):578-586.
|
|
Xu Raoqi, Peng Xiaotao, Qin Shiyao, et al. Parameter identification of doubly-fed induction generator converter based on M-sequence[J]. Power System Technology, 2022, 46(2):578-586.
|
| [13] |
Wu L, Liu H, Zha J, et al. Identification of control parameters for converters of doubly fed wind turbines based on hybrid genetic algorithm[J]. Processes, 2022, 10(3):567-568.
|
| [14] |
颜湘武, 崔森, 孙雪薇, 等. 双馈风力发电机组全运行工况与快速启动电磁暂态建模[J]. 电网技术, 2021, 45(4): 1250-1257.
|
|
Yan Xiangwu, Cui Sen, Sun Xuewei, et al. Transient modeling of doubly-fed induction generator based wind turbine on full operation and rapid starting condition[J]. Power System Technology, 2021, 45(4):1250-1257.
|
| [15] |
王杨, 杨汉芦, 肖先勇, 等. 双馈风机附加次同步阻尼控制器抑制方法分析与优化设计[J]. 电力自动化设备, 2022, 42(8):184-190.
|
|
Wang Yang, Yang Hanlu, Xiao Xianyong, et al. Mitigation method analysis and optimization design of doubly-fed induction generator additional subsynchronous damping controller[J]. Electric Power Automation Equipment, 2022, 42(8):184-190.
|
| [16] |
邹乐, 吴学光, 寇龙泽, 等. 电网电压对称骤升下双馈风力发电系统的改进控制策略研究[J]. 电网技术, 2020, 44(4):1360-1367.
|
|
Zou Le, Wu Xueguang, Kou Longze, et al. Improved control strategy for a double-fed generation system under grid voltage symmetric swell[J]. Power System Technology, 2020, 44(4):1360-1367.
|
| [17] |
朱家文, 陈卓, 刘人志, 等. 风电机组惯量支撑与一次调频综合控制策略[J]. 电子科技, 2023, 36(5):9-15.
|
|
Zhu Jiawen, Chen Zhuo, Liu Renzhi, et al. Integrated control strategy of wind turbine inertia support and primary frequency regulation[J]. Electronic Science and Technology, 2023, 36(5):9-15.
|
| [18] |
张剑, 崔明建, 何怡刚. 基于PMU实测数据的DFIG风电场等值模型鲁棒性与适应性分析[J]. 太阳能学报, 2023, 44(10):320-328.
|
|
Zhang Jian, Cui Mingjian, He Yigang. Robustness and adaptability analysis of equivalent model of DFIG wind farm based on measured date of PMU[J]. Acta Energiae Solaris Sinica, 2023, 44(10):320-328.
|
| [19] |
李振垚, 摆世彬, 方若水, 等. 基于广域测量系统的双馈风力发电机组在线参数辨识方法[J]. 南方电网技术, 2021, 15(5):89-97.
|
|
Li Zhenyao, Bai Shibin, Fang Ruoshui, et al. Online parameter identification method of doubly fed induction generator based on wide area measurement system[J]. Southern Power System Technology, 2021, 15(5):89-97.
|
| [20] |
潘学萍, 戚相威, 梁伟, 等. 综合模型聚合和参数辨识的风电场多机等值及参数整体辨识[J]. 电力自动化设备, 2022, 42(1):124-132.
|
|
Pan Xueping, Qi Xiangwei, Liang Wei, et al. Multi-machine equivalence and global identification of wind farms by combining model aggregation and parameter estimation[J]. Electric Power Automation Equipment, 2022, 42(1):124-132.
|
| [21] |
姜惠兰, 王绍辉, 李希钰, 等. 考虑动态电压区间无功支撑的双馈风机连锁故障穿越控制策略[J]. 高电压技术, 2022, 48(1):147-155.
|
|
Jiang Huilan, Wang Shaohui, Li Xiyu, et al. Cascading fault ride-through control strategy for doubly-fed wind turbines considering reactive power support in dynamic voltage range[J]. High Voltage Engineering, 2022, 48(1):147-155.
|
| [22] |
Pereira L J, Guilherme A O, Matheus B F, et al. Multi-objective lichtenberg algorithm:A hybrid physics-based meta-heuristic for solving engineering problems[J]. Expert Systems with Applications, 2022, 187(1): 1-18.
|