基于协同控制优化风电-柔直并网惯性响应策略研究

doi:10.19595/j.cnki.1000-6753.tces.240238

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Abstract

Wind farms integrating into receiving grid via voltage sourced converter based high voltage direct current (VSC-HVDC) has become a main operating mode. However, VSC-HVDC causes the decoupling of the wind farm side VSC (WFVSC) frequency from the receiving grid frequency and, hence, wind farms cannot quickly perceive frequency disturbances in the receiving power grid without communication and use additional frequency regulation control to provide inertia support and frequency response. Recently, some non-communication methods were presented to couple the frequency of wind farms with the receiving power grid to provide inertia support, but most of them didn’t discuss how to design parameters. To address this issue, this paper proposes a key parameter design method for wind farms integrating into receiving grid via VSC-HVDC to provide non-communication coordinated inertia support and optimize the dynamic characteristics of inertial response.
Firstly, based on the variable proportion coefficient rotor speed regulation of doubly fed induction generators (DFIGs) and the additional DC voltage-frequency droop control of the grid side VSC (GSVSC) station, the non-communication coordinated frequency response transfer functions of VSC-HVDC connected wind farm are derived. The role of the droop coefficient k_u of GSVSC and speed regulation coefficient k_wi of DFIGs in providing inertia response for receiving grid is analyzed. Then select frequency deviation, DC voltage deviation and virtual inertia of wind farms connected to VSC-HVDC as macro variables according to synergetic control theory. Further, synergistic control law of k_u is designed to adapt to frequency change while synergistic control law of k_wi is designed to adapt to DC voltage change and rotor speed change, which makes the coordinated inertia provided by capacitor energy storage and differential rotor kinetic energy.
Simulation results in WSCC-9 bus system show that, the lowest frequency increases to 49.822Hz and the rate of change of frequency (RoCoF) decreases to -0.284Hz/s under the proposed strategy. Compared with fixed coefficient controls, the system frequency deviation is reduced by 5.4% and RoCoF is reduced by 1.1%, which verifies the effectiveness of the proposed strategy in improving the inertia support ability and optimizing the dynamic response characteristics. Furthermore, k_u in proposed strategy rapidly increases in the early stage and provides significant support with a virtual inertia of 5.668s. As the system frequency recovers, k_u gradually decreases to zero, reducing the DC voltage deviation and the energy required for DC capacitor voltage recovery. The voltage is restored to the rated value faster, and the DC voltage recovery time is reduced by 31.3%. In the early stage of frequency disturbance, k_wi quickly reaches its peak, and DFIGs quickly release the rotor kinetic energy to provide maximum inertia support. As the frequency recovers, k_wi gradually decreases to zero to avoid excessive release of rotor kinetic energy, and the rotor speed recovery time decreases by 18.7%. At the same time, k_wi of DFIGs in high wind speeds are larger than those in low wind speeds, which means each DFIG adapts to the difference in rotor kinetic energy to provide appropriate inertia support. Finally, considering the randomness of wind power, random fluctuations are added to the input wind speeds. The results show that the proposed strategy is applicable under random wind speeds.
The following conclusions can be drawn from the simulation analysis: (1) Compared with fixed coefficient controls, the proposed strategy can not only improve the collaborative cooperation inertia support between VSC-HVDC and wind farms with differential rotor kinetic energy when suffering frequency disturbances, but also optimize the dynamic characteristics of the receiving grid inertia response. (2) The proposed strategy can optimize the dynamic recovery process of DC capacitor voltage after inertia support, and help wind farms quickly recover rotor kinetic energy and maximum power point tracking (MPPT) operation mode while avoiding secondary disturbances.

Key words： Wind farm VSC-HVDC inertia response synergetic control

Received: 04 February 2024

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TM722

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	Tan Junmi
	Peng Xiaotao
	Li Xutao
	Chen Ziwei
	Yang Jun

Cite this article:

Tan Junmi,Peng Xiaotao,Li Xutao等. Optimization of Inertia Response Strategy Based on Synergetic Control for Wind Power Integrating to Power Grid via VSC-HVDC[J]. Transactions of China Electrotechnical Society, 0, (): 2492915-2492915.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.240238 OR https://dgjsxb.ces-transaction.com/EN/Y0/V/I/2492915

[1] 蔡旭, 杨仁炘, 周剑桥, 等. 海上风电直流送出与并网技术综述[J]. 电力系统自动化, 2021, 45(21): 2-22.
Cai Xu, Yang Renxin, Zhou Jianqiao, et al.Review on offshore wind power integration via DC transmission[J]. Automation of Electric Power Systems, 2021, 45(21): 2-22.
[2] 马富艺龙, 辛焕海, 刘晨曦, 等. 新能源基地柔性直流送出系统小扰动电压支撑强度评估[J]. 电工技术学报, 2023, 38(21): 5758-5770, 5938.
Ma Fuyilong, Xin Huanhai, Liu Chenxi, et al.Small-disturbance system voltage support strength assessment method for renewables VSC-HVDC delivery system[J]. Transactions of China Electrotechnical Society, 2023, 38(21): 5758-5770, 5938.
[3] 韩民晓, 翟冬玲, 唐晓骏. 连接低惯量系统的柔性直流输电模型预测控制[J]. 电工技术学报, 2017, 32(22): 198-206.
Han Minxiao, Zhai Dongling, Tang Xiaojun.Model predictive control of voltage source converter-HVDC connected to low inertia system[J]. Transactions of China Electrotechnical Society, 2017, 32(22): 198-206.
[4] 束洪春, 邵宗学, 赵伟, 等. 含柔性直流的交直流混联电力系统紧急频率控制研究[J]. 电工技术学报, 2023, 38(20): 5590-5604.
Shu Hongchun, Shao Zongxue, Zhao Wei, et al.Research on emergency power control of AC-DC hybrid power system with flexible DC[J]. Transactions of China Electrotechnical Society, 2023, 38(20): 5590-5604.
[5] 邵冰冰, 贾焦心. 弱受端交流电网下VSC-HVDC系统的功率解耦控制设计[J]. 电机与控制学报, 2022, 26(10): 56-65.
Shao Bingbing, Jia Jiaoxin.Power decoupling control design of the VSC-HVDC under the weak receiving AC grid conditions[J]. Electric Machines and Control, 2022, 26(10): 56-65.
[6] 孙华东, 王宝财, 李文锋, 等. 高比例电力电子电力系统频率响应的惯量体系研究[J]. 中国电机工程学报, 2020, 40(16): 5179-5192.
Sun Huadong, Wang Baocai, Li Wenfeng, et al.Research on inertia system of frequency response for power system with high penetration electronics[J]. Proceedings of the CSEE, 2020, 40(16): 5179-5192.
[7] 王博, 杨德友, 蔡国伟. 高比例新能源接入下电力系统惯量相关问题研究综述[J]. 电网技术, 2020, 44(8): 2998-3007.
Wang Bo, Yang Deyou, Cai Guowei.Review of research on power system inertia related issues in the context of high penetration of renewable power generation[J]. Power System Technology, 2020, 44(8): 2998-3007.
[8] Andreasson M, Wiget R, Dimarogonas D V, et al.Distributed frequency control through MTDC transmission systems[J]. IEEE Transactions on Power Systems, 2017, 32(1): 250-260.
[9] Liu Hongzhi, Chen Zhe.Contribution of VSC-HVDC to frequency regulation of power systems with offshore wind generation[J]. IEEE Transactions on Energy Conversion, 2015, 30(3): 918-926.
[10] 谢小荣, 苏开元, 邱银锋, 等. 海上风电-柔直送端系统频率控制研究现状及建议[J]. 中国海上油气, 2023, 35(1): 136-147.
Xie Xiaorong, Su Kaiyuan, Qiu Yinfeng, et al.Frequency control of VSC-HVDC transmission system for offshore wind farms: research status and suggestions[J]. China Offshore Oil and Gas, 2023, 35(1): 136-147.
[11] 朱介北, 史美琦, 张利, 等. 基于超级电容的海上风电柔直送出系统协调惯量支撑策略[J]. 电网技术, 2022, 46(8): 2938-2952.
Zhu Jiebei, Shi Meiqi, Zhang Li, et al.Supercapacitor-based coordinated inertia support strategy for offshore wind farms integration via VSC-HVDC[J]. Power System Technology, 2022, 46(8): 2938-2952.
[12] Lin C H, Wu Yuankang. Overview of frequency-control technologies for a VSC-HVDC-integrated wind farm[J]. IEEE Access, 2829, 9: 112893-112921.
[13] 杨仁炘, 张琛, 蔡旭. 具有频率实时镜像和自主电网同步能力的风场-柔直系统控制方法[J]. 中国电机工程学报, 2017, 37(2): 496-506.
Yang Renxin, Zhang Chen, Cai Xu.Control of VSC-HVDC with real-time frequency mirroring and self-synchronizing capability for wind farm integration[J]. Proceedings of the CSEE, 2017, 37(2): 496-506.
[14] Liu Xudan, Lindemann A.Control of VSC-HVDC connected offshore windfarms for providing synthetic inertia[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2018, 6(3): 1407-1417.
[15] 李宇骏, 杨勇, 李颖毅, 等. 提高电力系统惯性水平的风电场和VSC-HVDC协同控制策略[J]. 中国电机工程学报, 2014, 34(34): 6021-6031.
Li Yujun, Yang Yong, Li Yingyi, et al.Coordinated control of wind farms and VSC-HVDC to improve inertia level of power system[J]. Proceedings of the CSEE, 2014, 34(34): 6021-6031.
[16] Li Yujun, Xu Zhao, Østergaard J, et al.Coordinated control strategies for offshore wind farm integration via VSC-HVDC for system frequency support[J]. IEEE Transactions on Energy Conversion, 2017, 32(3): 843-856.
[17] 江守其, 徐亚男, 李国庆, 等. 提升海上风电经柔直联网系统频率稳定性的协调控制策略[J]. 电力自动化设备, 2023, 43(9): 194-201.
Jiang Shouqi, Xu Yanan, Li Guoqing, et al.Coordinated control strategy for improving frequency stability of MMC-HVDC connecting offshore wind power[J]. Electric Power Automation Equipment, 2023, 43(9): 194-201.
[18] Lu Zongxiang, Ye Yida, Qiao Ying.An adaptive frequency regulation method with grid-friendly restoration for VSC-HVDC integrated offshore wind farms[J]. IEEE Transactions on Power Systems, 2019, 34(5): 3582-3593.
[19] Peng Xiaotao, Yao Wei, Yan Cai, et al.Two-stage variable proportion coefficient based frequency support of grid-connected DFIG-WTs[J]. IEEE Transactions on Power Systems, 2020, 35(2): 962-974.
[20] 周际城, 彭晓涛, 罗鹏, 等. 基于复转矩系数法的双馈风机次同步控制相互作用阻尼特性研究[J]. 电网技术, 2020, 44(4): 1247-1257.
Zhou Jicheng, Peng Xiaotao, Luo Peng, et al.Study on sub-synchronous control interaction damping characteristics of doubly-fed induction generator based on complex torque coefficient method[J]. Power System Technology, 2020, 44(4): 1247-1257.
[21] Kolesnikov A, Veselov G, Popov A, et al.A synergetic approach to the modeling of power electronic systems[C]//COMPEL 2000.7th Workshop on Computers in Power Electronics. Proceedings, Blacksburg, VA, USA, 2000: 259-262.
[22] 李龙源, 付瑞清, 吕晓琴, 等. 接入弱电网的同型机直驱风电场单机等值建模[J]. 电工技术学报, 2023, 38(3): 712-725.
Li Longyuan, Fu Ruiqing, Lü Xiaoqin, et al.Single machine equivalent modeling of weak grid connected wind farm with same type PMSGs[J]. Transactions of China Electrotechnical Society, 2023, 38(3): 712-725.
[23] Miller N W, Sanchez-Gasca J J, Price W W, et al. Dynamic modeling of GE 1.5 and 3.6 MW wind turbine-generators for stability simulations[C]//2003 IEEE Power Engineering Society General Meeting, Toronto, ON, Canada, 2003: 1977-1983.
[24] Kundur P, Balu N J, Lauby M G.Power system stability and control[M]. New York: McGraw-Hill, 1994.
[25] Zhou Guoliang, Shi Xinchun.Research on the model and control strategy of one multi-module-converter based VSC-HVDC[C]//2007 IEEE International Symposium on Industrial Electronics, Vigo, Spain, 2007: 759-763.
[26] Anderson P M, Fouad A A.Power system control and stability[M]. 2nd ed. Piscataway, NJ: IEEE Press, 2003.