Study on Double Phase-Locked Loop on the Synthetic Inertia Control of Offshore Wind Farm Frequency Regulation

doi:10.12096/j.2096-4528.pgt.22118

Abstract

Abstract:

To build the new power system with the main body of new energy, the offshore wind farm (OWF) is an important part and has been rapidly developed in coastal cities. However, the large-scale OWFs also reduce the inertia of power systems, which significantly decreases the anti-disturbance capability of system frequency Therefore, a synthetic inertia control strategy for OWF based on dual phase-locked loops (PLL) was proposed. First, the influence mechanism of PLL on virtual inertia of wind turbine was theoretically analyzed for variable parameter PLL. And the variation rule of wind turbine inertia support capacity and system frequency response characteristics with parameter changing PLL was explored. Then, the double PLL based OWF frequency regulation strategy was proposed through analyzing the negative effect of primary frequency regulation characteristics caused by the variable parameter of PLL. Finally, the effectiveness of the proposed frequency regulation strategy was verified though simulations. The results show that the proposed method has significant advantages in frequency response speed and frequency measurement noise suppression.

Key words: offshore wind farm, synthetic inertia control, frequency regulation strategy, new-type power system, phase-locked loop

CLC Number:

TK 89

Lin LIU, Dalong WANG, Xiao QI, Zhenbo ZHOU, Huanxin LIN, Chuanwei CAI. Study on Double Phase-Locked Loop on the Synthetic Inertia Control of Offshore Wind Farm Frequency Regulation[J]. Power Generation Technology, 2024, 45(2): 282-290.

Figures/Tables 19

Fig. 1 Model of offshore wind farm

Fig. 2 Frequency response model with traditional PD-based virtual inertial control

Fig. 3 Standard model of IEEE with 2 generators and 4-buses

Fig. 4 Control structure of PI-based PLL

Fig. 5 Control structure of linearized control system of wind turbine

Fig. 6 Equivalent control structure of variable parameter PLL-based wind turbine

Fig. 7 Bode diagram of variable parameter PLL with certain kiand variable kp

Fig. 8 Bode diagram of variable parameter PLL with certain kp and variable ki

Fig. 9 Equivalent control structure of PLL-based wind turbine

Fig. 10 Curves of system frequency responses with variation of PLL parameter ki

Fig. 11 Curves of wind turbine power responses with variation of PLL parameter ki

Fig. 12 Curves of system frequency responses with variation of PLL parameter kp

Fig. 13 Curves of wind turbine power responses with variation of PLL parameter kp

Fig. 14 Curves of system frequency responses with different PLL control strategies

Fig. 15 Curves of wind turbine power responses with different PLL control strategies

Fig. 16 Curves of power system measurement frequency responses with different control strategies

Fig. 17 Curves of power system actual frequency responses with different control strategies

Fig. 18 Curves of wind power response with different control strategies

Fig. 19 Curves of referenced wind power change with different control strategies

References 28

1	VEERS P， DYKES K， LANTZ E，et al ．Grand challenges in the science of wind energy[J]．Science，2019，366：6464．
2	舒印彪，陈国平，贺静波，等．构建以新能源为主体的新型电力系统框架研究[J]．中国工程科学，2021，23(6)：1-9． doi:10.15302/J-SSCAE-2021.06.003
	SHU Y B， CEHN G P， HE J B，et al ．Building a new electric power system based on new energy sources[J]．Strategic Study of CAE，2021，23(6)：1-9． doi:10.15302/J-SSCAE-2021.06.003
3	刘沅昆，张维静，张艳，等．面向新型电力系统的新能源与储能联合规划方法[J]．智慧电力，2022，50(10)：1-8． doi:10.3969/j.issn.1673-7598.2022.10.002
	LIU Y K， ZHANG W J， ZHANG Y，et al ．Joint planning method of renewable energy and energy storage for new-type power system[J]．Smart Power，2022，50(10)：1-8． doi:10.3969/j.issn.1673-7598.2022.10.002
4	程鹏，马静，李庆，等．风电机组电网友好型控制技术要点及展望[J]．中国电机工程学报，2020，40(2)：456-467． doi:10.13334/j.0258-8013.pcsee.190243
	CHENG P， MA J， LI Q，et al ．A review on grid-friendly control technologies for wind power generators[J]．Proceedings of the CSEE，2020，40(2)：456-467． doi:10.13334/j.0258-8013.pcsee.190243
5	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 H D， WANG B C， LI W F，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．
6	黄宇昕，倪世杰，赵平，等．海上风电柔性直流系统变惯性协调控制策略[J]．分布式能源，2022，7(6)：1-10．
	HUANG Y X， NI S J， ZHAO P，et al ．Variable inertia coordinated control strategy for offshore wind power flexible DC system[J]．Distributed Energy，2022，7(6)：1-10．
7	房方，梁栋炀，刘亚娟，等．海上风电智能控制与运维关键技术[J]．发电技术，2022，43(2)：175-185. doi:10.12096/j.2096-4528.pgt.22042
	FANG F， LIANG D Y， LIU Y J，et al ．Key technologies for intelligent control and operation and maintenance of offshore wind power[J]．Power Generation Technology，2022，43(2)：175-185． doi:10.12096/j.2096-4528.pgt.22042
8	李铮，郭小江，申旭辉，等．我国海上风电发展关键技术综述[J]．发电技术，2022，43(2)：186-197． doi:10.12096/j.2096-4528.pgt.22028
	LI Z， GUO X J， SHEN X H，et al ． Summary of technologies for the development of offshore wind power industry in China[J]．Power Generation Technology，2022，43(2)：186-197． doi:10.12096/j.2096-4528.pgt.22028
9	鲁宗相，汤海雁，乔颖，等．电力电子接口对电力系统频率控制的影响综述[J]．中国电力，2018，51(1)：51-58．
	LU Z X， SHANG H Y， QIAO Y，et al ．The impact of power electronics interfaces on power system frequency control：a review[J]．Electric Power，2018，51(1)：51-58．
10	付红军，陈惠粉，赵华．高渗透率下风电的调频技术研究综述[J]．中国电力，2021，54(1)：104-115．
	FU H J， CHEN H F， ZHAO H ．Review on frequency regulation technology with high wind power penetration[J]．Electric Power，2021，54(1)：104-115．
11	WANG X， XIE Z， CHANG Y ．Control of PMSG-based wind turbine with virtual inertia[C]//Proceedings of the 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)．Xi’an：IEEE，China，2019：1302-1306． doi:10.1109/iciea.2019.8833885
12	邢鹏翔，侍乔明，王刚．风电机组虚拟惯量控制的响应特性及机理分析[J]．高电压技术，2018，44(4)：1302-1310． doi:10.13336/j.1003-6520.hve.20180329033
	XING P X， SHI Q M， WANG G ．Response characteristics and mechanism analysis about virtual inertia control of wind generators[J]．High Voltage Engineering，2018，44(4)：1302-1310． doi:10.13336/j.1003-6520.hve.20180329033
13	颜湘武，王德胜，杨琳琳．直驱风机惯量支撑与一次调频协调控制策略[J]．电工技术学报，2021，36(15)：3282-3292． doi:10.19595/j.cnki.1000-6753.tces.L90078
	YAN X W， WANG D S， YANG L L ．Coordinated control strategy of inertia support and primary frequency regulation of PMSG[J]．Transactions of China Electrotechnical Society，2021，36(15)：3282-3292． doi:10.19595/j.cnki.1000-6753.tces.L90078
14	李少林，王伟胜，张兴．基于频率响应区间划分的风电机组虚拟惯量模糊自适应控制[J]．电网技术，2021，45(5)：1658-1665． doi:10.13335/j.1000-3673.pst.2020.2232
	LI S L， WANG W S， ZHANG X ．Fuzzy adaptive virtual inertia control strategy of wind turbines based on system frequency response interval division[J]．Power System Technology，2021，45(5)：1658-1665． doi:10.13335/j.1000-3673.pst.2020.2232
15	王旭斌，杜文娟，王海风．考虑锁相环动态的直驱风电机组虚拟惯性控制对电力系统小干扰稳定性影响[J]．中国电机工程学报，2018，38(8)：2239-2252． doi:10.13334/j.0258-8013.pcsee.172540
	WANG X B， DU W J， WANG H F ．Small-signal stability of power systems as affected by D-PMSG virtual inertia control considering PLL dynamics[J]．Proceedings of the CSEE，2018，38(8)：2239-2252． doi:10.13334/j.0258-8013.pcsee.172540
16	赵天扬．虚拟同步发电并网逆变器锁相环拓扑及参数整定[D]．北京：华北电力大学，2018．
	ZHAO T Y ．The topology and parameters configuration of phase locked loop in virtual synchronous generator[D]．Beijing：North China Electric Power University，2018．
17	ZHANG S T， ZHAO J B， CHEN Y ．Grid-friendly characteristics analysis and implementation of a single-phase voltage-controlled inverter[J]．Journal of Power Electronics，2017，17(5)：1278-1287．
18	JINSIK L， EDUARD M， POUL S，et al ．Releasable kinetic energy-based inertial control of a DFIG wind power plant[J]．IEEE Transactions on Sustainable Energy，2016，7(1)：279-288． doi:10.1109/tste.2015.2493165
19	YAN W H， CHENG L， YAN S J，et al ．Enabling and evaluation of inertial control for PMSG-WTG using synchronverter with multiple virtual rotating masses in microgrid[J]．IEEE Transactions on Sustainable Energy，2020，11(2)：1078-1088． doi:10.1109/tste.2019.2918744
20	HUANG J K， YANG Z F， YU J，et al ．Frequency dynamic-constrained parameter design of fast frequency controller in wind turbine[J]．IEEE Transactions on Sustainable Energy，2022：13(1)：31-43． doi:10.1109/tste.2021.3102611
21	周天沛，孙伟．高渗透率下变速风力机组虚拟惯性控制的研究[J]．中国电机工程学报，2017，37(2)：486-496．
	ZHOU T P， SUN W ．Study on virtual inertia control for DFIG-based wind farms with high penetration[J]．Proceedings of the CSEE，2017，37(2)：486-496．
22	CHEN P W， QI C C， CHEN X ．Virtual inertia estimation method of DFIG-based wind farm with additional frequency control[J]．Journal of Modern Power Systems and Clean Energy，2021，9(5)：1076-1087． doi:10.35833/mpce.2020.000908
23	LIU J， YAO Q， HU Y ．Model predictive control for load frequency of hybrid power system with wind power and thermal power[J]．Energy，2019，172：555-565． doi:10.1016/j.energy.2019.01.071
24	VRDOLJAK K， PERI N， PETROVI I ．Sliding mode based load-frequency control in power systems[J]．Electric Power Systems Research，2010，80(5)：514-527． doi:10.1016/j.epsr.2009.10.026
25	SOCKEEL N， GAFFORD J， PAPARI B，et al ．Virtual inertia emulator-based model predictive control for grid frequency regulation considering high penetration of inverter-based energy storage system[J]．IEEE Transactions on Sustainable Energy，2020，99：1-1． doi:10.1109/tste.2020.2982348
26	颜湘武，孙颖，李晓宇．基于双馈风力发电场虚拟惯量控制策略优化[J]．华北电力大学学报(自然科学版)，2020，208(6)：46-55．
	YAN X W， SUN Y， LI X Y ．Optimization of virtual inertia control strategy based on doubly-fed wind farm[J]．Journal of North China Electric Power University，2020，208(6)：46-55．
27	HE W， YUAN X， HU J ．Inertia provision and estimation of PLL-based DFIG wind turbines [J]．IEEE Transactions on Power Systems，2017，32(1)：510-521． doi:10.1109/tpwrs.2016.2556721
28	HADJIDEMETRIOU L， KYRIAKIDES E， BLAABJERG F ．A new hybrid PLL for interconnecting renewable energy systems to the grid[J]．IEEE Transactions on Industry Applications，2013，49(6)：2709-2719． doi:10.1109/tia.2013.2265252

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