Abstract
In this paper, the fuzzy-logic controllers (FLC)-based enhanced proportional resonant – second-order general integrators (SOGI) method for Static Compensator is provided to improve the quality of power. The Hybrid Renewable Energy Sources provide support for the quasi-Z- source inverters (qZSI) that is known as HRES-STATCOM. In the usual approach, the actual dc-link voltages of the inverters are controlled by the PI controllers using a fixed reference DC-link voltage, which may result in excessive switching loss and switching noise. As system or load characteristics vary in real-world applications, a low DC-link voltage may be required, resulting in less switching losses and noise. As a result, an FLC-based EPR-SOGI method has been suggested. This approach gives the optimal reference DC-link voltage, which reduces the switching losses and hence offers improved compensation in varying-parameter settings as well. In the framework of Matlab/Simulink, the EPR-SOGI algorithm is designed and then simulated for three distinct cases. According to the findings of the research, it is abundantly clear that the suggested algorithm is better than the conventional algorithm in terms of its adaptability and its robustness. A laboratory-developed experimental setup is also used to verify the superiority of the suggested algorithm over the traditional method.
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Additional information
Notes on contributors
P. Kalaiselvi
P. Kalaiselvi received the B.E. degree in Electronics and Communication Engineering from Maharaja Engineering College for Women, Erode, Tamil Nadu, India in 2013 and M.E. degree in Mechatronics from Kongu Engineering College, Erode, Tamil Nadu, India in 2015. She is currently pursuing the Ph.D. degree under the faculty of Mechanical Engineering at SNS College of Technology, India. She has more than 7 years of teaching experience and 5 years of research experience. She is currently working as an Assistant Professor in the Department of Mechatronics Engineering at SNS College of Technology, India. She is a member of the ISRD and IAENG. She published 5 Patents and 2 Patents were granted and guided 35 UG students project. Her area of interest includes Renewable Energy, Control system, Industrial Automation & Robotics.
S. Chenthur Pandian
S. Chenthur Pandian has obtained his AMIE in Electrical Engineering from the Institution of Engineers (Calcutta), and M.E., in Electrical Power Systems from Punjab Engineering College, Chandigarh and Doctoral degree in Fuzzy Applications for Power Systems from Periyar Univeristy, Salem. He has also completed his LL.B., (Law) degree from Kanpur University. He has rendered his service in Indian Air Force for the term of 15 years from 1979 to 1994. He then worked in KSR College of Technology, Tiruchengode and Selvam College of Technology, Namakkal as its founder Principal. Then he became the Principal of Dr. Mahalingam College of Engineering and Technology, Pollachi. Currently, he is the Principal of SNS College of Technology, Coimbatore. He has served as the member of board of studies in the EEE board of Anna University, Coimbatore and Periyar University, Salem. He is possessing 35 years of rich experience and expertise in the field of Industry, Education, Research and Development. Under his able and efficient supervision, 21 research scholars have obtained their Doctorate and 05 Research Scholars are presently pursuing their Ph.D. His field of interest and research include Fuzzy Logic, Neural Networks, Neuro-Fuzzy System, Power Electronics, Power Systems, Applied Electronics and Optimization in Computer Science.
M. Anand
M. Anand graduated from Kongu Engineering College, Erode with a Master Degree in Mechatronics. He has more than 7 years of teaching experience and 4 years of research experience. Presently working as Assistant Professor, Department of Mechatronics Engineering in SNS College of Technology, Coimbatore, Tamil Nadu. 5 Patents published and 2 Patents Granted. Guided 37 UG students. His current research interest is in Electric Vehicle Drives, Industrial Automation & Robotics.