Research on Clustering Equivalent Modeling of Large-Scale Photovoltaic Power Plants

Chinese Journal of Electrical Engineering ›› 2018, Vol. 4 ›› Issue (4): 80-85.

Research on Clustering Equivalent Modeling of Large-Scale Photovoltaic Power Plants

Fei Li^*, Yao Huang, Fan Wu, Yang Liu, Xing Zhang

School of Electric Engineering and Automation, Hefei University of Technology, Hefei 230041, China

Online:2018-12-25 Published:2019-10-31
Contact: *E-mail:sandflylf@qq.com.
About author:Fei Li received the B.S. degree and Ph.D in electrical engineering in 2008 and 2015 from Hefei University of Technology, Hefei, China. From 2010 to 2011, he studied at the Aalborg University in Denmark as a joint doctoral student. Since 2015, he has been a Faculty Member of the School of Electric Engineering and Automation, Hefei University of Technology, where he is currently an Associate Professor. His main research interest includes Renewable energy grid-connected system control strategy, system stability analysis and hardware-in-the-loop real-time simulation based on power electronic conversion technology. Yao Huang received the B.S. degree in Electrical Engineering from Hefei University of Technology, Hefei, China, in 2017. He is working towards his M.S. degree in Electrical engineering in Hefei University of Technology. His research interest focuses on the hardware-in-the-loop real-time simulation. Fan Wu received the B.S. degree in Building Electricity and Intelligence from Anhui Jianzhu University, Hefei, China, in 2016. She is working towards her M.S. degree in Electrical Engineering in Hefei University of Technology. Her research interest focuses on the hardware-in-the-loop real-time simulation. Yang Liu received the B.S. degree in automation from Hefei University of Technology in 2018. He is working towards his M.S. degree in electrical engineering. His research interest focuses on new energy power generation. Xing Zhang received the B.S., M.S., and Ph.D. degrees in electric engineering and automation from Hefei University of Technology, Hefei, China, in1984, 1990, and 2003, respectively. Since 1984, he has been a Faculty Member of the School of Electric Engineering and Automation, Hefei University of Technology, where he is currently a Professor and is also at the Photovoltaic Engineering Research Center of Ministry of Education. His current research interests include photovoltaic generation technologies, wind power generation technologies, and distributed generation system.
Supported by:
Supported by National Youth Natural Science Foundation Project (51707053) and Anhui Youth Natural Science Fund Project (1808085-QE155).

Abstract

Abstract: There are dozens or hundreds of grid-connected inverters for large-scale photovoltaic power plants. In order to facilitate the study of the impact that large-scale photovoltaic power plants have on the power system while avoiding the need to establish a detailed model for each inverter, it is necessary to establish the equivalent model of large-scale photovoltaic power plants. Power generation units of the same type are combined by K-means clustering algorithm to reduce the simulation scale in number. According to the actual data of Shenmu large-scale grid-connected photovoltaic power station, employing RT-LAB software is used to conduct simulation verification and error analysis. The simulation results verify the proposed clustering equivalent modeling method is effective and can accurately track photovoltaic power station’s dynamic characteristics.

Key words: Photovoltaic power plant, inverter, clustering equivalent, dynamic, RT-LAB

Fei Li, Yao Huang, Fan Wu, Yang Liu, Xing Zhang. Research on Clustering Equivalent Modeling of Large-Scale Photovoltaic Power Plants[J]. Chinese Journal of Electrical Engineering, 2018, 4(4): 80-85.

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