Detection of Islanding and Fault Disturbances in Microgrid using Wavelet Packet Transform

ABSTRACT

Fast detection of islanding is very important for effective operation and control in distributed generation (DG) penetrated distribution networks. The islanding detection techniques such as passive, active, communication, and hybrid have their own merits and demerits. This paper proposed wavelet transform (WT) and wavelet packet transform (WPT) based techniques for detection of islanding and fault disturbances in a microgrid consisting of resources like wind turbine generator, fuel cell (FC), and microturbine. Voltage signal is extracted at the point of common coupling (PCC) and is passed through these detection techniques to obtain the time-frequency multi-resolution analysis. Further, to validate the graphical study, performance indices (PIs) like standard deviation and entropy are calculated for the disturbance detection using suitable selection of threshold. A comparative analysis using WT and WPT is presented in the form of graphical simulation as well as in terms of PIs to analyse their effectiveness and robustness under different operating conditions. It is observed that WPT shows better detection capability in comparison to WT even under 20-dB noisy scenarios.

KEYWORDS:

• Distributed generation (DG)
• Fault and islanding
• Microgrid
• Wavelet packet transform
• Wavelet transform

ACKNOWLEDGMENTS

Authors acknowledge the support for research from the National Research Foundation, Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Prakash K. Ray

Prakash K. Ray (SM’15) received his PhD degree from NIT, Allahabad, India in 2012 and is working as Assistant Professor at the Department of Electrical Engineering, IIIT, Bhubaneswar, India. He is currently a Research Fellow at Cambridge CARES, NTU, Singapore since May 2017. His research area includes digital signal processing and soft computing applications in power system and power quality.

Corresponding author. E-mail: [email protected], [email protected]

Basanta K. Panigrahi

Basanta K. Panigrahi is working as an assistant professor in the Department of Electrical Engineering, ITER, SOA University, Bhubaneswar, India. His research areas include power system protection, distributed generation.

E-mail: [email protected]

Pravat K. Rout

Pravat K. Rout is working as a professor in the Department of EEE, ITER, SOA University, Bhubaneswar, Odisha, India. His research interests are soft computing, evolutionary computing techniques and its application to power system planning, operation and control.

E-mail: [email protected]

Asit Mohanty

Asit Mohanty is associated with Electrical Engineering Department, CET Bhubaneswar. His research areas include modelling and control of distributed energy sources.

E-mail: [email protected]

Foo Y. S. Eddy

Foo Y. S. Eddy (S’09) received the BEng and PhD degree in electrical and electronic engineering from Nanyang Technological University, Singapore, in 2009 and 2016, respectively. He is currently working as lecturer in the School of Electrical and Electronic Engineering. His research interests are multi-agent systems, microgrid energy management systems, electricity markets, and renewable energy resources.

E-mail: [email protected]

Hoay Beng Gooi

Hoay Beng Gooi (SM’95) received the BS degree from National Taiwan University, Taipei, Taiwan, in 1978, the MS degree from the University of New Brunswick, Fredericton, NB, Canada, in 1980, and the PhD degree from Ohio State University, Columbus, OH, USA, in 1983. From 1983 to 1985, he was an assistant professor with the Electrical Engineering Department, Lafayette College, Easton, PA, USA. From 1985 to 1991, he was a senior engineer with Empros (now Siemens), Minneapolis, MN, USA. In 1991, he joined the School of EEE, NTU, Singapore, as a senior lecturer, where he has been an associate professor since 1999. His current research focuses on microgrid EMSs, electricity markets, spinning reserve, energy efficiency, and renewable energy sources.

E-mail: [email protected]