Fractional PI Control Strategy of DVR Based on Photovoltaic Energy Storage

Zhenyue WANG; Chaojun WU; Ningning YANG

doi:10.16513/j.2096-2185.DE.2308402

TSINGHUA JOURNALS HOME

Source Journal for Chinese Scientific and Technical Papers and Citations

RCCSE Chinese Core Academic Journals

Classification Catalogue of High Quality Scientific Journals in the field of Energy and Power

Classification Catalogue of High Quality Scientific Journals in Coal Field

PDF(3316 KB)

Distributed Energy ›› 2023, Vol. 8 ›› Issue (4) : 11-19. DOI: 10.16513/j.2096-2185.DE.2308402

Basic Research

Fractional PI Control Strategy of DVR Based on Photovoltaic Energy Storage

Zhenyue WANG ¹^,² ,
Chaojun WU ¹^,² ,
Ningning YANG ³

Author information +

History +

Abstract

Dynamic voltage restorer (DVR) is a device to effectively control the voltage dip fault at the device side. At present, the control design of DVR basically uses proportional-integral (PI) controller, but it is a nonlinear system, and the traditional PI controller can not achieve the ideal control effect. In order to improve the control effect of DVR, a novel voltage-current double closed loop fractional order PI (FOPI) control strategy is proposed in this paper. Firstly, the photovoltaic energy storage system is taken as the DC energy source of DVR, and the corresponding mathematical model of feedforward decoupling of three-phase inverter is established. Secondly, the double closed-loop PI control strategy of photovoltaic energy storage system and inverter is designed, and the parameters are adjusted. Then the integer order control strategy is extended to fractional order to improve the control effect, and the robustness criterion is used to correct the parameters of FOPI controller when the gain changes. Finally, DVR simulation models under different control strategies are built, and the simulation results verify the feasibility of FOPI controller applied to DVR system, and it has better dynamic response speed and anti-interference performance than traditional PI controller.

Key words

voltage sag / dynamic voltage restorer (DVR) / photovoltaic-energy storage system / gain robustness criterion / double closed loop control / fractional control

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Zhenyue WANG , Chaojun WU , Ningning YANG. Fractional PI Control Strategy of DVR Based on Photovoltaic Energy Storage[J]. Distributed Energy Resources. 2023, 8(4): 11-19 https://doi.org/10.16513/j.2096-2185.DE.2308402

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	李红伟，周海林，姜万东，等. 交流接触器在电压暂降影响下的运行特性研究[J]. 电力科学与工程，2019, 35(10): 9-15. LI Hongwei, ZHOU Hailin, JIANG Wandong, et al. Study on operation characteristics of AC contactor under the influence of voltage sag[J]. Electric Power Science and Engineering, 2019, 35(10): 9-15. Cited in this article [1]

[2]	MANJU A S, MANITHA P V, NAIR M G, et al. DVR for power distribution network: A review[C]//2022 Third Inter-national Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT). Kannur, India: IEEE, 2022: 1803-1808. Cited in this article [1]

[3]	DHALAYAT A A K, HASABE R P. Dynamic voltage restorer for power quality enhancement with improved efficiency using artificial neural networks[C]//2022 2nd International Conference on Intelligent Technologies (CONIT). Hubli, India: IEEE, 2022: 1-7. Cited in this article [1]

[4]	REDDY N V K, REDDY R S, VIKRAM S M, et al. Voltage sag compensation with DVR based on machine learning controller[C]//2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC). Salem, India: IEEE, 2022: 508-514. Cited in this article [1]

[5]	王函韵，周雅婷，程启明，等. 非理想条件下MMC-DVR的Lyapunov控制策略研究[J]. 电力系统保护与控制，2023, 51(2): 22-33. WANG Hanyun, ZHOU Yating, CHENG Qiming, et al. Research on Lyapunov control strategy of an MMC-DVR under non-ideal conditions[J]. Power System Protection and Control, 2023, 51(2): 22-33. Cited in this article [1]

[6]	周雅婷，程启明，江畅，等. 基于无源控制策略的MMC-DVR控制系统[J]. 太阳能学报，2022, 43(10): 275-280. ZHOU Yating, CHENG Qiming, JIANG Chang, et al. MMC-DVR control system based on passivity control strategy[J]. Acta Solar Energy Sinica, 2022, 43(10): 275-280. Cited in this article [1]

[7]	刘震宇. 基于神经元自适应控制的动态电压恢复器研究[J]. 电机与控制应用，2020, 47(7): 53-57. LIU Zhenyu. Research on dynamic voltage restorer based on neuron adaptive control[J]. Motor and Control Applications, 2020, 47(7): 53-57. Cited in this article [1]

[8]

ABDULAZEEZ

S N

, ATILLA

, AYDIN

. Design of adaptive controller for regulating the voltage by a dynamic voltage restorer DVR[C]//2019 2nd International Conference on Electrical, Communication, Computer, Power and Control Engineering (ICECCPCE). Mosul, Iraq: IEEE, 2019: 165-170.

Cited in this article [1]

[9]	黄孙华，王杰，熊林云. 分数阶滑模控制策略提高电力系统暂态稳定性研究[J]. 智慧电力，2022, 50(4): 1-7. HUANG Sunhua, WANG Jie, XIONG Linyun. Power system transient stability improved with fractional-order sliding mode control strategy[J]. Smart Power, 2022, 50(4): 1-7. Cited in this article [1]

[10]

卢昕，陈众励，李辉. 基于自抗扰控制的直流微电网双向Buck-Boost变换器控制策略研究[J]. 发电技术，2021, 42(2): 193-200.

Xin

, CHEN

Zhongli

, LI

Hui

. Research on control strategy of bidirectional Buck-Boost converter in DC microgrid based on active disturbance rejection control[J]. Power Generation Technology, 2021, 42(2): 193-200.

Cited in this article [1]

[11]	PRASAD M, MUNICHANDRASEKHAR J, AKELLA A K. Voltage swell minimization by solar photovoltaic fed impedance-source inverter based DVR[C]//2018 International Conference on Current Trends towards Converging Technologies (ICCTCT). Coimbatore, India: IEEE, 2018: 1-7. Cited in this article [1]

[12]

涂春鸣，侯玉超，郭祺，等. 面向新能源灵活接入的多功能动态电压恢复器及其优化控制研究[J]. 电网技术，2021, 45(9): 3487-3495.

Chunming

, HOU

Yuchao

, GUO

, et al. Multi-function dynamic voltage restorer and its optimal control for flexibly access of new energy sources[J]. Power System Technology, 2021, 45(9): 3487-3495.

Cited in this article [1]

[13]	黄钦华，高远，袁海英，等. Boost变换器的双闭环分数阶PI控制研究[J]. 广西工学院学报，2020, 31(1): 11-17. HUANG Qinhua, GAO Yuan, YUAN Haiying, et al. Control of Boost converter by a double closed-loop fractional-order PI control method[J]. Journal of Guangxi University of Technology, 2020, 31(1): 11-17. Cited in this article [1]

[14]	张晓，周康，吴凡. 基于分数阶PI^λ的MMC并网控制策略[J]. 电测与仪表，2020, 57(18): 115-121. ZHANG Xiao, ZHOU Kang, WU Fan. MMC grid-connected control strategy based on fractional order PI^λ[J]. Electrical Measurement & Instrumentation, 2020, 57(18): 115-121. Cited in this article [1]

[15]	HUCHCHE V A, JUNGHARE A S, PATNE N R. Fractional order controller for DVR to mitigate torque pulsations of an induction motor during voltage sags[C]//2019 IEEE 13th International Conference on Power Electronics and Drive Systems (PEDS). Toulouse, France: IEEE, 2019: 1-7. Cited in this article [1]

[16]

吴亚雄，杨旭红，方浩旭，等. 改进BP神经网络的并网逆变器分数阶比例－积分－微分控制策略[J]. 科学技术与工程，2022, 22(13): 5243-5249.

Yaxiong

, YANG

Xuhong

, FANG

Haoxu

, et al. Fractional order PID control of three-phase grid-connected inverter based on improved BP neural network[J]. Science Technology and Engineering, 2022, 22(13): 5243-5249.

Cited in this article [1]

[17]	郑恩让，姜苏英. 基于改进粒子群优化算法的分数阶PID控制[J]. 控制工程，2017, 24(10): 2082-2087. ZHENG Enrang, JIANG Suying. Fractional order PID control based on improved PSO algorithm[J]. Control Engineering, 2017, 24(10): 2082-2087. Cited in this article [1]

[18]	ZHENG W, LUO Y, CHEN Y. Study of a three-parameter fractional order PID controller and its optimal tuning method[C]//2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). Chengdu, China: IEEE, 2019: 369-373. Cited in this article [1]