A Decision Making Methodology to Assess Power Quality Monitoring Index of an AC Microgrid Using Fuzzy Inference Systems

Abstract

The power quality issues are challenging in microgrid due to the presence of various types of renewable energy resources unlike conventional power system. So, the main objective of this research is to quantify the power quality considering the fuzziness in variation of voltage, frequency, power factor and total harmonic distortion (THD) due to the occurrence of voltage sag, swell, interruption and unbalancing in three-phase AC microgrid feeding static and rotational loads. Therefore, a novel power quality monitoring index (PQMI) is proposed to determine the status of power quality. Total 256 numbers of rules are formed for fuzzy inference system (FIS) to assess PQMI considering the acceptable limits of above mentioned four input variables as per IEEE/IEC standards. The proposed methodology is verified through Mamdani and Sugeno type FIS using Matlab-Simulink software. It is also found that the proposed PQMI is significant to define the status of microgrid even during transition from grid-connected to islanded mode and vice-versa.

Keywords:

• microgrid
• power quality monitoring index (PQMI)
• Mamdani-FIS
• Sugeno-FIS
• grid-connected and islanded modes of operation
• static and rotational loads

Acknowledgements

The authors heartfully acknowledge the authority of Thapar Institute of Engineering and Technology, Deemed-to-be University, Punjab, India for offering the resources and infrastructural support for the present research work.

Additional information

Notes on contributors

Jitender Kaushal

Jitender Kaushal is pursuing a Ph.D. degree in Electrical and Instrumentation Engineering Department at Thapar Institute of Engineering and Technology (TIET), Patiala, India. He received his Bachelor of Technology degree in Electrical Engineering from Himachal Pradesh University, Shimla, India, in 2008 and Master of Engineering degree in Power Systems and Electric Drives from TIET, Patiala, India, in 2012. His research interests include microgrid, renewable energy resources, distributed generation technology and their penetration in conventional power system.

Prasenjit Basak

Prasenjit Basak received the Bachelor of Electrical Engineering and Ph.D. degrees from the department of Electrical Engineering, Jadavpur University at Kolkata in India in the year 1999 and 2012 respectively. He had served several industrial organizations from the year 1999 to 2004 in India. He started his academic career from the year 2005 as a Lecturer in Electrical Engineering Department of Calcutta Institute of Engineering and Management in Kolkata, India. He joined the Electrical and Instrumentation Engineering Department in TIET at Patiala, Punjab, India as an Assistant Professor in the year 2013. He has been promoted as Associate Professor of same department of TIET in the year 2019. He has published research papers in several reputed international journals including international conferences. His research is focused on renewable energy based distributed generation and microgrid systems including high voltage engineering.