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An adaptive control strategy for microgrid secondary frequency based on parameter identification

2023-11-30

An adaptive control strategy for microgrid secondary frequency based on parameter identification

基于参数识别的微电网二次频率自适应控制策略

Yong Shi1,Yin Cheng2,Bao Xie1,Jianhui Su1

1.Photovoltaic System Engineering Research Center of the Ministry of Education,Hefei University of Technology,Hefei 230009,P.R.China

2.State Grid Wuhu Power Supply Company,Wuhu 241000,P.R.China

Abstract

Complex microgrid structures and time-varying conditions,among other factors,cause problems in the mechanical modeling of microgrids,making model-based controller optimization difficult.Therefore,this study proposed a secondary frequency adaptive control strategy based on parameter identification,which uses an online parameter identification method to identify the parameters in the microgrid in real-time.The identified parameters are then used in the secondary frequency adaptive controller to optimize the real-time controller performance.The proposed method realizes adaptive optimization of the controller in the microgrid operation state and is applied to a microgrid with unknown parameters to adjust the controller parameters.Finally,a simulation experiment was conducted to verify the model accuracy and the frequency regulation effect of the proposed adaptive control strategy.

Keywords

Adaptive control; Genetic algorithm; Microgrid; Online identification

Fig. 1 Microgrid system schematic

Fig. 2 Microgrid secondary frequency adaptive control block diagram based on parameter identification

Fig. 3 Microgrid system frequency response model diagram

Fig. 4 Equivalence model of microgrid frequency response

Fig. 5 Genetic algorithm model recognition flowchart

Fig. 6 The position of the pole of the second-order system corresponds to the system response

Fig. 7 Simplify the range of ωn values and the optimal pole distribution of the system under the constraint of simplified conditions

Fig. 8 Genetic algorithm optimization process identification result graph

Fig. 9 Frequency response waveform fit

Fig. 10 Zero pole plot of the system under adaptive control

Fig. 11 Adaptive control versus conventional control frequency response

Fig. 12 Frequency regulation effect of microgrid with photovoltaic converter under different control strategies

本文引文信息

Shi Y, Cheng Y, Xie B, et al. (2023) An adaptive control strategy for microgrid secondary frequency based on parameter identification, Global Energy Interconnection, 6(5): 592-600

施永，程寅，解宝等 (2023) 基于参数识别的微电网二次频率自适应控制策略. 全球能源互联网（英文）, 6(5): 592-600

Biographies

Yong Shi

received the B.Sc.degree in automation from Anhui University in 2008,and the Ph.D.degree in electrical engineering from Hefei University of Technology in 2015.He is currently an associate professor at the School of Electrical Engineering and Automation,Hefei University of Technology.His research interests include renewable energy generation technology,distributed power generation and microgrid.

Yin Cheng

received the M.Eng.degree in Electrical Engineering from Hefei University of Technology,Anhui,China,in 2023.After graduation she worked in State Grid Wuhu Power Supply Company.Her research interests include renewable energy generation technologies,distributed generation,and microgrids.

Bao Xie

received his Ph.D.degree in Electrical Engineering from Chongqing University in 2020,and is currently working in the Energy Institute team in the School of Electrical Engineering,Hefei University of Technology,with the main research direction of new energy grid-connected power generation control and stability research.

Jianhui Su

received the B.Sc.,M.Sc,and Ph.D.degrees from Hefei University of Technology,Hefei,China,in 1984,1987,and 2003,respectively,all in electrical engineering.He is currently a Full Professor at the School of Electrical Engineering and Automation,Hefei University of Technology and an Associate Director of the Research Center for Photovoltaic System Engineering,Ministry of Education,Hefei,China.His research interests include renewable power generation,special power supplies,distributed power generation systems and high voltage transducer control technologies.

编辑：王彦博

审核：王伟

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