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Prof. Guobing Pan
Inst Distributed Energy & Microgrid, Zhejiang University of Technology

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Research Keywords & Expertise

0 Artificial Intelligence
0 Big Data
0 Embedded Systems
0 Internet of Things
0 distributed energy and microgrid control

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Short Biography

GUOBING PAN received a Ph.D. degree from Shanghai Jiaotong University, in Shanghai, China, in 2010. Currently, he is an associate professor at Zhejiang University of Technology. He is the deputy director in the of the school's institute of distributed energy and microgrid. Pan worked as a visiting scholar at the University of Sydney, Australia for one year from 2017 to 2018. His research interests include embedded systems and the Internet of Things, artificial intelligence and big data, distributed energy and microgrid control. He has published more than 20 papers, applied for 17 patents, and authorized 8.

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Original article
Published: 20 August 2021 in Journal of Power Electronics
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The LCL type active power filter (APF) with a traditional repetitive controller has drawbacks in terms of poor dynamic performance, large steady-state error, and difficult digital implementation. A fast repetitive control (RC) algorithm was proposed in this paper in an effort to improve the APF dynamic performance without worsening its stability. To eliminate the non-integer delay of the traditional RC, a fractional-order RC algorithm based on the Lagrangian Interpolation was developed. The proposed fast fractional-order RC (FFORC) strategy only needs 1/6 delay time when compared to the traditional RC. In addition, it can track the error signal quickly and obtain a higher steady-state accuracy. Furthermore, the double current loops control method with grid side current and inverter side current feedback is proposed to achieve active damping of the resonance peak of the LCL filter, which ensures that the APF system is stable. Simulation and experimental results are presented to verify the performance of the dynamic response and steady-state accuracy of the proposed FFORC strategy.

ACS Style

Guobing Pan; Fei Gong; Libing Jin; Hao Wu; Sihan Chen. LCL APF based on fractional-order fast repetitive control strategy. Journal of Power Electronics 2021, 1 -12.

AMA Style

Guobing Pan, Fei Gong, Libing Jin, Hao Wu, Sihan Chen. LCL APF based on fractional-order fast repetitive control strategy. Journal of Power Electronics. 2021; ():1-12.

Chicago/Turabian Style

Guobing Pan; Fei Gong; Libing Jin; Hao Wu; Sihan Chen. 2021. "LCL APF based on fractional-order fast repetitive control strategy." Journal of Power Electronics , no. : 1-12.

Journal article
Published: 17 May 2021 in Energies
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The meteorological environment is a determining factor in photovoltaic (PV) system feasibility (PVSF). To evaluate this impact more accurately, a quantitative analysis model based on multimeteorological factors and the Random Forest Regression model is proposed in this work. Firstly, an evaluation system is established to assess the impact. Then, to predict the indicators of the evaluation system, a parameter, i.e., performance ratio in sampling period, is defined. Secondly, a set of essential influences on the performance ratio in the sampling period is established through analyzing and reducing the discovered influences on the PV system performance. Finally, data from the Desert Knowledge Australia Solar Centre (DKASC) website are used to conduct the experiment. During the experiment, the sample set is cleaned using the model based on the cosine of the zenith angle. The functional relationship between the performance ratio in the sampling period and its essential influences is established through training a Random Forest Regression model with the data of the modeling system. The data of the test system are used to verify the forecast performance of the proposed model. Compared with the reference model, which is based on the traditional physical experiment, the results of the proposed model accord better with the measured values.

ACS Style

Dengchang Ma; Guobing Pan; Fang Xu; Hongfei Sun. Quantitative Analysis of the Impact of Meteorological Environment on Photovoltaic System Feasibility. Energies 2021, 14, 2893 .

AMA Style

Dengchang Ma, Guobing Pan, Fang Xu, Hongfei Sun. Quantitative Analysis of the Impact of Meteorological Environment on Photovoltaic System Feasibility. Energies. 2021; 14 (10):2893.

Chicago/Turabian Style

Dengchang Ma; Guobing Pan; Fang Xu; Hongfei Sun. 2021. "Quantitative Analysis of the Impact of Meteorological Environment on Photovoltaic System Feasibility." Energies 14, no. 10: 2893.

Journal article
Published: 30 January 2021 in Photonics
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The powersphere is a device used for maximizing the conversion of light in wireless energy transmission via laser. It is a spherical structure made up of thousands of photovoltaic cells. Due to the large dimensions and existence of many holes in the spherical surface, there are some drawbacks in machining, such as limited movement space of the machines, long cycle, low precision, and high cost. In this context, with a powersphere irradiated by the laser as the model, the principle of powersphere is deduced theoretically. It is proven that the illuminance value at any position on the inner wall of the powersphere is equal, and the calculation formula of this value is derived. Based on this theory and the comparative analysis of processing methods and the results of processing experiments, the structure of the powersphere is designed. The experimental processing of the powersphere is carried out by selecting the welding method. Finally, two hemispherical powersphere frames are processed, which are connected by screws to form a ball frame for the installation of photovoltaic cells. The results show that the improved design and fabricating method can process the powersphere quickly, accurately, and economically. A comparative experiment of powersphere and photovoltaic panel was carried out. The experimental results show that the powersphere has the function of light uniformity and repeated use of laser. So, the designed and processed powersphere is consistent with the theoretical analysis.

ACS Style

Tiefeng He; Guobing Pan; Libin Zhang; Fang Xu; Can Yang; Chi Chiu Chan; Meng Wang; Guoliang Zheng. Design and Fabrication of Large-Size Powersphere for Wireless Energy Transmission via Laser. Photonics 2021, 8, 35 .

AMA Style

Tiefeng He, Guobing Pan, Libin Zhang, Fang Xu, Can Yang, Chi Chiu Chan, Meng Wang, Guoliang Zheng. Design and Fabrication of Large-Size Powersphere for Wireless Energy Transmission via Laser. Photonics. 2021; 8 (2):35.

Chicago/Turabian Style

Tiefeng He; Guobing Pan; Libin Zhang; Fang Xu; Can Yang; Chi Chiu Chan; Meng Wang; Guoliang Zheng. 2021. "Design and Fabrication of Large-Size Powersphere for Wireless Energy Transmission via Laser." Photonics 8, no. 2: 35.

Journal article
Published: 08 January 2020 in Energy
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The photovoltaic (PV) power plants’ power generation is affected obviously by the cleanliness of the photovoltaic modules. The dust is the primary source causing the pollution. Natural dust deposition is affected by human activities and meteorological factors such as temperature, humidity, wind speed and PM10 concentration in the region where PV modules are installed. The research efforts so far have been focused on predicting PV power outputs, however, in the real operations the PV outputs can significantly deviate from the prediction due to the dust pollution which, unfortunately, has not been fully investigated. This paper, to the authors’ best knowledge, is the first research to analyze the dust composition and evaluate its impacts on the PV power outputs with the real field test data in East China Collected through a series of experiments completed in the lab of the Institute of Distributed Generation and Microgrid, Zhejiang University of Technology, in East China. A PV output forecasting model was set up first based on the irradiance and the component’s temperature. Then a complete meteorological and electrical data online monitoring system was developed for data acquisition. The morphology of the dust particles on the investigated photovoltaic modules was observed by a scanning electron microscope, and the composition of the dust particles was measured by X-ray fluorescence. The research found that the dust accumulated on the surface of photovoltaic modules tend to form clusters under the influence of rainfall which is one major cause on fast dropping PV outputs. The analysis shows the dust deposit mainly comprises of SiO2 and CaCO3. Further analysis indicates in East China, the average dust density on PV modules is 0.644 g/m2 in a week and consequently the dust reduces the PV output power by 7.4% one week. The research is of significance not only in terms of giving the real-data based analysis on dust properties deposited on PV panels, but also on revealing the relationship between power output attenuation and dust deposition, which helps improve the PV power output prediction accuracy and develop efficient cleaning strategies for photovoltaic modules.

ACS Style

Jinxin Chen; Guobing Pan; Jing Ouyang; Jin Ma; Lei Fu; Libin Zhang. Study on impacts of dust accumulation and rainfall on PV power reduction in East China. Energy 2020, 194, 116915 .

AMA Style

Jinxin Chen, Guobing Pan, Jing Ouyang, Jin Ma, Lei Fu, Libin Zhang. Study on impacts of dust accumulation and rainfall on PV power reduction in East China. Energy. 2020; 194 ():116915.

Chicago/Turabian Style

Jinxin Chen; Guobing Pan; Jing Ouyang; Jin Ma; Lei Fu; Libin Zhang. 2020. "Study on impacts of dust accumulation and rainfall on PV power reduction in East China." Energy 194, no. : 116915.

Journal article
Published: 15 November 2019 in Applied Sciences
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Power quality disturbances (PQDs) have a large negative impact on electric power systems with the increasing use of sensitive electrical loads. This paper presents a novel hybrid algorithm for PQD detection and classification. The proposed method is constructed while using the following main steps: computer simulation of PQD signals, signal decomposition, feature extraction, heuristic selection of feature selection, and classification. First, different types of PQD signals are generated by computer simulation. Second, variational mode decomposition (VMD) is used to decompose the signals into several instinct mode functions (IMFs). Third, the statistical features are calculated in the time series for each IMF. Next, a two-stage feature selection method is imported to eliminate the redundant features by utilizing permutation entropy and the Fisher score algorithm. Finally, the selected feature vectors are fed into a multiclass support vector machine (SVM) model to classify the PQDs. Several experimental investigations are performed to verify the performance and effectiveness of the proposed method in a noisy environment. Moreover, the results demonstrate that the start and end points of the PQD can be efficiently detected.

ACS Style

Lei Fu; Tiantian Zhu; Guobing Pan; Sihan Chen; Qi Zhong; Yanding Wei. Power Quality Disturbance Recognition Using VMD-Based Feature Extraction and Heuristic Feature Selection. Applied Sciences 2019, 9, 4901 .

AMA Style

Lei Fu, Tiantian Zhu, Guobing Pan, Sihan Chen, Qi Zhong, Yanding Wei. Power Quality Disturbance Recognition Using VMD-Based Feature Extraction and Heuristic Feature Selection. Applied Sciences. 2019; 9 (22):4901.

Chicago/Turabian Style

Lei Fu; Tiantian Zhu; Guobing Pan; Sihan Chen; Qi Zhong; Yanding Wei. 2019. "Power Quality Disturbance Recognition Using VMD-Based Feature Extraction and Heuristic Feature Selection." Applied Sciences 9, no. 22: 4901.

Articles
Published: 22 October 2019 in International Journal of Electronics
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Power quality evaluation data are heterogeneous and fluctuating, and there are large subjective factors in the evaluation process. To solve this problem, a power quality evaluation method based on incentive punishment factor and the ordered weighted aggregation (OWA) operators was proposed. The integrity and fairness of the evaluation information were guaranteed, through the homogenisation of the evaluation data. And using incentive and penalty factors to calculate the single index evaluation value without considering the time factor. By introducing the time weights and adopting the linear target programming model and ordered the weighted averaging operator to get the primary evaluation values of the indices in the inspection period. Then, the minimum variance method was used to get index weights, and the ordered weighted geometric averaging (OWGA) operator was applied to obtain the comprehensive evaluation value of the power quality. Finally, the power quality of a distribution system with photovoltaic generation under different load conditions is analysed as an example. The results showed that the method proposed in this paper distinguishes the power quality level under various load conditions significantly, which verify the feasibility and effectiveness of the model.

ACS Style

Jinxin Chen; Guobing Pan; Jing Ouyang; Libin Zhang. A power quality evaluation method for distribution system with renewable energy. International Journal of Electronics 2019, 107, 792 -807.

AMA Style

Jinxin Chen, Guobing Pan, Jing Ouyang, Libin Zhang. A power quality evaluation method for distribution system with renewable energy. International Journal of Electronics. 2019; 107 (5):792-807.

Chicago/Turabian Style

Jinxin Chen; Guobing Pan; Jing Ouyang; Libin Zhang. 2019. "A power quality evaluation method for distribution system with renewable energy." International Journal of Electronics 107, no. 5: 792-807.

Original articles
Published: 28 May 2018 in Electric Power Components and Systems
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With the application of renewable energy, the power quality is attracting more attention to. Unfortunately, it is difficult to analyze the transient power quality signal. Hilbert–Huang Transform (HHT) analysis has been proven as an effective method, while, the mode mixing cannot be avoided in the procedure, as well as it is difficult to determine the waveform boundary of sudden changes. Aimed at this problem, a novel method combined Statistical Feature Vector Symbol (SFVS) and Iterative Harmonic Compensation HHT (IHC-HHT) is proposed. Firstly, the envelope distribution of transient power quality signal is changed by harmonic compensation, and the frequency-amplitude range of the compensated harmonic signal is determined according to the characteristics of the transient signal. Secondly, the SFVS method is applied to detect the boundary of sudden changes in the waveform, and divide the power quality signal into several stationary parts on the boundary, and then IHC-HHT method is used to decompose each segment to eliminate the mode mixing. Test results show that this method can improve the performance of decomposition as well as inhibit mode mixing effectively.

ACS Style

Jing Ouyang; Libin Zhang; Guobing Pan; Hongwei Xu; Jinxin Chen. A Decomposition Method of Transient Power-Quality Waveforms Combining IHC-HHT and SFVS. Electric Power Components and Systems 2018, 46, 1008 -1018.

AMA Style

Jing Ouyang, Libin Zhang, Guobing Pan, Hongwei Xu, Jinxin Chen. A Decomposition Method of Transient Power-Quality Waveforms Combining IHC-HHT and SFVS. Electric Power Components and Systems. 2018; 46 (9):1008-1018.

Chicago/Turabian Style

Jing Ouyang; Libin Zhang; Guobing Pan; Hongwei Xu; Jinxin Chen. 2018. "A Decomposition Method of Transient Power-Quality Waveforms Combining IHC-HHT and SFVS." Electric Power Components and Systems 46, no. 9: 1008-1018.