IDENTIFICATION OF CONTROL PARAMETERS OF DOUBLY-FED INDUCTION GENERATOR BASED ON ENHANCED WHALE OPTIMIZATION ALGORITHM

Deng Jun; Chen Jie; Li Yiran; Zheng Tianyue; Cheng Jiakang; Zhu Darui

doi:10.19912/j.0254-0096.tynxb.2024-0087

PDF(1791 KB)

Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (5) : 496-505. DOI: 10.19912/j.0254-0096.tynxb.2024-0087

IDENTIFICATION OF CONTROL PARAMETERS OF DOUBLY-FED INDUCTION GENERATOR BASED ON ENHANCED WHALE OPTIMIZATION ALGORITHM

Deng Jun¹, Chen Jie², Li Yiran¹, Zheng Tianyue¹, Cheng Jiakang², Zhu Darui²

Author information +

History +

Abstract

The control parameter identification of doubly-fed induction generator （DFIG） has the problems of low accuracy and cumbersome identification process. Hence, this paper proposes a DFIG control parameter identification method based on Enhanced whale optimization algorithm （E-WOA）. This method adds a population initialization strategy combining Fuch mapping and reverse learning. This strategy improves the convergence speed of the algorithm by optimizing the initial population. To address the issue of the search process being prone to local optima, a pool mechanism has been introduced to enhance population diversity. To improve the search ability, three search strategies, are designed. The equivalent model of DFIG is established. The root mean square error of the output of the simulation model and the equivalent model is taken as the objective function. The control parameters are identified according to the objective function combined with E-WOA. The simulation results validate that the proposed parameter identification method has higher identification accuracy and faster convergence speed.

Key words

parameter identification / converter / doubly fed induction generator / control system / enhanced whale optimization algorithm

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Deng Jun, Chen Jie, Li Yiran, Zheng Tianyue, Cheng Jiakang, Zhu Darui. IDENTIFICATION OF CONTROL PARAMETERS OF DOUBLY-FED INDUCTION GENERATOR BASED ON ENHANCED WHALE OPTIMIZATION ALGORITHM[J]. Acta Energiae Solaris Sinica. 2025, 46(5): 496-505 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0087

References

[1] 徐文哲, 张哲任, 徐政. 适用于大规模纯新能源发电基地送出的混合式直流输电系统[J]. 中国电力, 2023, 56(4): 17-27.
XU W Z, ZHANG Z R, XU Z.A hybrid HVDC topology suitable for large-scale pure clean energy power base transmission[J]. Electric power, 2023, 56(4): 17-27.
[2] 董存, 梁志峰, 礼晓飞, 等. 跨区特高压直流外送优化提升新能源消纳能力研究[J]. 中国电力, 2019, 52(4): 41-50.
DONG C, LIANG Z F, LI X F, et al.Study on power optimization of the trans-regional UHVDC delivery channels in promoting renewable energy accommodation capacity[J]. Electric power, 2019, 52(4): 41-50.
[3] 张兴, 孙艳霞, 李丽娜, 等. 风电机组电磁暂态建模及验证[J]. 中国电力, 2020, 53(7): 106-112.
ZHANG X, SUN Y X, LI L N, et al.Electromagnetic transient modelling and verifying of wind turbine generator[J]. Electric power, 2020, 53(7): 106-112.
[4] 陈结, 陈换过, 肖志奇, 等. 基于工况辨识的风电机组主传动系统运行状态监测[J]. 太阳能学报, 2024, 45(2): 77-85.
CHEN J, CHEN H G, XIAO Z Q, et al.Operational state monitoring of wind turbine main transmission system based on working condition recognition[J]. Acta energiae solaris sinica, 2024, 45(2): 77-85.
[5] 田芳, 黄彦浩, 史东宇, 等. 电力系统仿真分析技术的发展趋势[J]. 中国电机工程学报, 2014, 34(13): 2151-2163.
TIAN F, HUANG Y H, SHI D Y, et al.Developing trend of power system simulation and analysis technology[J]. Proceedings of the CSEE, 2014, 34(13): 2151-2163.
[6] 潘学萍, 高远, 金宇清, 等. 风电机组驱动系统参数辨识[J]. 电网技术, 2013, 37(7): 1990-1994.
PAN X P, GAO Y, JIN Y Q, et al.Parameter identification of drive system for fixed-speed wind power generation units[J]. Power system technology, 2013, 37(7): 1990-1994.
[7] WANG X Y, XIONG J, GENG L, et al.Parameter identification of doubly-fed induction generator by the Levenberg-Marquardt-Fletcher method[C]//2013 IEEE Power & Energy Society General Meeting. Vancouver, BC, Canada, 2013: 1-5.
[8] 王红, 梁俊霞, 胡佳琳. 基于αβ坐标系模型的双馈风力发电机参数辨识[J]. 电力系统保护与控制, 2014, 42(20): 81-85.
WANG H, LIANG J X, HU J L.Doubly-fed wind power generator parameter identification based on the αβ coordinate model[J]. Power system protection and control, 2014, 42(20): 81-85.
[9] DJOUDI A, CHEKIREB H, BACHA S.On-line identification of DFIG parameters with rotor current reconstitution[C]//2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER). Monte-Carlo, Monaco, 2014: 1-6.
[10] LI H, WU Y, LI Q H, et al.Improved identification method of doubly-fed induction generator based on trajectory sensitivity analysis[J]. International journal of electrical power & energy systems, 2021, 125: 106472.
[11] 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 H, WU Y, XIE X J, et al.Parameter identification of transmission chain for doubly-fed wind turbine based on improved particle swarm optimization[J]. Acta energiae solaris sinica, 2021, 42(12): 134-142.
[12] JIN Y Q, LU C J, JU P, et al.Probabilistic preassessment method of parameter identification accuracy with an application to identify the drive train parameters of DFIG[J]. IEEE transactions on power systems, 2019, 35(3): 1769-1782.
[13] 罗琴琴, 苏建徽, 林志光, 等. 基于递推最小二乘法的虚拟同步发电机参数辨识方法[J]. 电力系统自动化, 2019, 43(1): 215-221.
LUO Q Q, SU J H, LIN Z G, et al.Parameter identification method for virtual synchronous generators based on recursive least squares algorithm[J]. Automation of electric power systems, 2019, 43(1): 215-221.
[14] QIN C, JU P, WU F, et al.Distinguishability analysis of controller parameters with applications to DFIG based wind turbine[J]. Science China technological sciences, 2013, 56(10): 2465-2472.
[15] 潘学萍, 鞠平, 温荣超, 等. 解耦辨识双馈风电机组转子侧控制器参数的频域方法[J]. 电力系统自动化, 2015, 39(20): 19-25, 108.
PAN X P, JU P, WEN R C, et al.Decoupling estimation of parameters in rotor side controller of DFIG-based wind turbine by frequency domain method[J]. Automation of electric power systems, 2015, 39(20): 19-25, 108.
[16] 潘学萍, 温荣超, 鞠平, 等. 双馈风电机组网侧控制器参数辨识的频域方法[J]. 电网技术, 2015, 39(3): 634-638.
PAN X P, WEN R C, JU P, et al.A frequency-domain based method to identify parameters of grid side converter controller for doubly fed induction generators[J]. Power system technology, 2015, 39(3): 634-638.
[17] 王一丁, 苏建徽, 解宝, 等. 变速恒频无刷双馈发电机集成耦合参数辨识[J]. 太阳能学报, 2023, 44(4): 17-22.
WANG Y D, SU J H, XIE B, et al.Identification of integrated coupling parameters of variable speed constant frequency brushless doubly-fed generator[J]. Acta energiae solaris sinica, 2023, 44(4): 17-22.
[18] 沈欣炜, 郑竞宏, 朱守真, 等. 光伏并网逆变器控制参数的dq轴解耦辨识策略[J]. 电力系统自动化, 2014, 38(4): 38-43.
SHEN X W, ZHENG J H, ZHU S Z, et al.A dq axis decoupling parameter identification strategy for grid-connected inverter controller of photovoltaic generation system[J]. Automation of electric power systems, 2014, 38(4): 38-43.
[19] 孔祥平, 袁宇波, 阮思烨, 等. 面向故障暂态建模的光伏并网逆变器控制器参数辨识[J]. 电力系统保护与控制, 2017, 45(11): 65-72.
KONG X P, YUAN Y B, RUAN S Y, et al.Controller parameter identification of the grid connected PV inverter for fault transient modeling[J]. Power system protection and control, 2017, 45(11): 65-72.
[20] WANG Y F, LU C, ZHU L P, et al.Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systems[J]. Journal of modern power systems and clean energy, 2016, 4(3): 383-393.
[21] 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 R Q, PENG X T, QIN S Y, et al.Parameter identification of doubly-fed induction generator converter based on M-sequence[J]. Power system technology, 2022, 46(2): 578-586.
[22] 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 Z Y, BAI S B, FANG R S, 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.
[23] 张剑, 何怡刚. 基于轨迹灵敏度分析的永磁直驱风电场等值模型参数辨识[J]. 电工技术学报, 2020, 35(15): 3303-3313.
ZHANG J, HE Y G.Parameters identification of equivalent model of permanent magnet synchronous generator wind farm based on analysis of trajectory sensitivity[J]. Transactions of China electrotechnical society, 2020, 35(15): 3303-3313.
[24] 金宇清, 鞠平, 刘伟航, 等. 基于量测信号扰动的DFIG变流器控制参数辨识方法[J]. 电力系统自动化, 2016, 40(8): 36-42.
JIN Y Q, JU P, LIU W H, et al.Parameter identification method for converter controller of DFIG based on measurement signal disturbance[J]. Automation of electric power systems, 2016, 40(8): 36-42.
[25] 秦继朔, 贾科, 孔繁哲, 等. 基于寻优算法的永磁风机并网逆变器故障穿越控制参数分步辨识[J]. 中国电机工程学报, 2021, 41(S1): 59-69.
QIN J S, JIA K, KONG F Z, et al.Stepwise parameter identification of fault ride-through control parameters of PMSG grid-connected inverter based on optimization algorithm[J]. Proceedings of the CSEE, 2021, 41(S1): 59-69.
[26] 郭强, 王鹤, 聂永辉, 等. 考虑恢复暂态过程的直驱发电系统低电压穿越模型参数解耦辨识方法[J]. 高电压技术, 2021, 47(10): 3430-3440.
GUO Q, WANG H, NIE Y H, et al.Decoupling identification method of low-voltage ride-through model parameters of direct drive power generation system considering recovery transient process[J]. High voltage engineering, 2021, 47(10): 3430-3440.
[27] 沈阳武, 王世伟, 张斌, 等. 双馈风力发电变流器谐波建模与特性分析[J]. 电力系统及其自动化学报, 2020, 32(9): 105-112.
SHEN Y W, WANG S W, ZHANG B, et al.Harmonic modeling and characteristic analysis of converters in doubly fed wind power generation[J]. Proceedings of the CSU-EPSA, 2020, 32(9): 105-112.
[28] 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 C P, WANG Z, GAN D Q, 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.
[29] SINGH N, HACHIMI H.A new hybrid whale optimizer algorithm with mean strategy of grey wolf optimizer for global optimization[J]. Mathematical and computational applications, 2018, 23(1): 14.
[30] 傅文渊, 李国刚, 王燕琼. 区间长度可变的反向混沌优化算法[J]. 电子学报, 2019, 47(1): 113-121.
FU W Y, LI G G, WANG Y Q.Opposite based chaos optimization algorithm with variable interval length[J]. Acta electronica sinica, 2019, 47(1): 113-121.
[31] NADIMI-SHAHRAKI M H, ZAMANI H, MIRJALILI S. Enhanced whale optimization algorithm for medical feature selection: a COVID-19 case study[J]. Computers in biology and medicine, 2022, 148: 105858.