针对传统双馈风电机组虚拟同步控制（VSG）中因负载突变导致电网频率、输出有功功率波动较大和暂态调节时间过长的问题,提出一种基于模糊自适应控制策略的变参数风电机组虚拟同步发电机控制策略。首先,在机组转子侧变流器中引入VSG算法使得风电对电网频率具有主动支撑能力,并建立DFIG-VSG有功功率小信号模型分析惯量和阻尼系数对系统稳定性的影响;然后,通过分析系统暂态过程中的功频变化原理并结合不受线性量化约束的模糊算法,将虚拟惯量和阻尼的范围作为模糊自适应环节的输出论域,进而实时调整惯量和阻尼系数以降低功率超调和频率偏移。最后,在Matlab/Simulink中基于DFIG-VSG机组的仿真结果验证了所提模糊自适应VSG控制策略的可行性、有效性及优势。
Abstract
Aiming at the problems in the virtual synchronous control （VSG） of traditional doublyfed wind generator, the grid frequency and output active power fluctuate greatly and the transient adjustment time is too long due to sudden load changes, a variable-parameter wind generator based on fuzzy adaptive control strategy is proposed in this paper. First, the VSG algorithm is introduced into the rotor-side converter of the unit, so that the wind power can actively support the grid frequency and the DFIG-VSG active power small signal model is established to analyze the influence of inertia and damping coefficient on the system stability. Then, by analyzing the principle of power frequency change in the transient process of the system and combining the fuzzy algorithm that is not constrained by linear quantization, the range of virtual inertia and damping is taken as the output domain of fuzzy adaptive link. And then the inertia and damping coefficient are adjusted in real time to reduce power overshoot and frequency. Finally, the feasibility, effectiveness and advantages of the proposed fuzzy adaptive VSG control strategy are verified based on the simulation results of the DFIG-VSG unit in Matlab/Simulink.
关键词
双馈风电机组 /
虚拟同步控制 /
惯量 /
阻尼 /
模糊控制
Key words
doublyfed wind generator /
virtual synchronous control /
inertia /
damping /
fuzzy control
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] CHEN Y, HESSE R, TURSCHNER D, et al.Improving the grid power quality using virtual synchronous machines[C]//International Conference on Power Engineering, Energy and Electrical Drives. Malaga, Spain: IEEE, 2011: 1-6.
[2] ZHONG Q C, WEISS G.Synchronverters: inverters that mimic synchronous generators[J]. IEEE transactions on industrial electronics, 2011, 58(4): 1259-1267.
[3] 谢震, 孟浩, 张兴, 等. 基于定子虚拟阻抗的双馈风电机组虚拟同步控制策略[J]. 电力系统自动化, 2018, 42(9): 157-163, 187.
XIE Z, MENG H, ZHANG X, et al.Virtual synchronous control strategy of DFIG-based wind turbines based on stator virtual impedance[J]. Automation of electric power systems, 2018, 42(9): 157-163, 187.
[4] ALIPOOR J, MIURA Y, ISE T.Power system stabilization using virtual synchronous generator with alternating moment of inertia[J]. IEEE journal of emerging & selected topics in power electronics, 2015, 3(2): 451-458.
[5] 程启明, 余德清, 程尹曼, 等. 基于自适应旋转惯量的虚拟同步发电机控制策略[J]. 电力自动化设备, 2018, 38(12): 79-85.
CHENG Q M, YU D Q, CHENG Y M, et al.Control strategy of virtual synchronous generator based on adaptive rotational inertia[J]. Electric power automation equipment, 2018, 38(12): 79-85.
[6] 张福东, 朴政国, 郭裕祺, 等. VSG转动惯量的自适应控制策略研究[J]. 太阳能学报, 2020, 41(10): 93-100.
ZHANG F D, PARK Z G, GUO Y Q, et al.Research on adaptive control strategy of VSG moment of inertia[J]. Acta energiae solaris sinica, 2020, 41(10): 93-100.
[7] 陈来军, 王任, 郑天文, 等. 基于参数自适应调节的虚拟同步发电机暂态响应优化控制[J]. 中国电机工程学报, 2016, 36(21): 5724-5731.
CHEN L J, WANG R, ZHENG T W, et al.Optimal control of transient response of virtual synchronous generator based on adaptive parameter adjustment[J]. Proceedings of the CSEE, 2016, 36(21): 5724-5731.
[8] 温春雪, 陈丹, 胡长斌, 等. 微网逆变器的VSG转动惯量和阻尼系数自适应控制[J]. 电力系统自动化, 2018, 42(17): 120-126, 183.
WEN C X, CHEN D, HU C B, et al.Self-adaptive control of rotational inertia and damping coefficient of VSG for converters in a microgrid[J]. Automation of electric power systems, 2018, 42(17): 120-126, 183.
[9] 颜湘武, 张伟超, 崔森, 等. 基于虚拟同步机的电压源逆变器频率响应时域特性和自适应参数设计[J]. 电工技术学报, 2021, 36(增刊1): 241-254.
YAN X W, ZHANG W C, CUI S, et al.Frequency response characteristics and adaptive parameter tuning of voltage-sourced converters under VSG control[J]. Transactions of China Electrotechnical Society, 2021, 36(S1): 241-254.
[10] 杨赟, 梅飞, 张宸宇, 等. 虚拟同步发电机转动惯量和阻尼系数协同自适应控制策略[J]. 电力自动化设备, 2019, 39(3): 125-131.
YANG Y, MEI F, ZHANG C Y, et al.Coordinated adaptive control strategy of rotational inertia and damping coefficient for virtual synchronous generator[J]. Electric power automation equipment, 2019, 39(3): 125-131.
[11] 杨帆, 邵银龙, 李东东, 等. 一种计及储能容量和SOC约束的模糊自适应VSG控制策略[J]. 电网技术, 2021, 45(5): 1869-1876.
YANG F, SHAO Y L, LI D D, et al.Fuzzy adaptive VSG control strategy considering energy storage capacity and SOC constraint[J]. Power system technology, 2021, 45(5): 1869-1876.
[12] 张永超, 王维庆, 王海云, 等. VSC-HVDC 逆变侧的VSG转动惯量和阻尼系数模糊自适应控制[J]. 太阳能学报, 2021, 42(11): 463-469.
ZHANG Y C, WANG W Q, WANG H Y,et al.Fuzzy adaptive control of VSG moment of inertia and damping coefficient on VSC-HVDC inverter side[J]. Acta energiae solaris sinica, 2021, 42(11): 463-469.
[13] 张涛, 郑家琪, 王福东, 等. 基于模糊控制的VSG转动惯量自适应算法[J]. 电力电子技术, 2021, 55(1): 40-44.
ZHANG T, ZHANG J Q, WANG F D, et al.VSG moment of inertia adaptive algorithm based on fuzzy control[J]. Power electronics technology, 2021, 55(1): 40-44.
[14] 胡文强, 吴在军, 孙充勃, 等. 基于VSG的储能系统并网逆变器建模与参数整定方法[J]. 电力自动化设备, 2018, 38(8): 13-23.
HU W Q, WU Z J, SUN C B, et al.Modeling and parameter setting method for grid-connected inverter of energy storage system based on VSG[J]. Electric power automation equipment, 2018, 38(8): 13-23.
基金
国家自然科学基金（52007124）; 辽宁省揭榜挂帅科技攻关专项（2021JH1/10400009）
PDF(2582 KB)
