Balanced Islanding Detection of Distributed Generator using Discrete Wavelet Transform and Artificial Neural Network
How to Cite?
M Krishna Goriparthy, B Geetha Lakshmi, "Balanced Islanding Detection of Distributed Generator using Discrete Wavelet Transform and Artificial Neural Network," International Journal of Engineering Trends and Technology, vol. 69, no. 10, pp. 57-71, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I10P209
Renewable Energy sources (RES) with PV array systems are most widely used nowadays. There will be some malfunctions that occur whenever RES is connected to the grid due to sudden tripping of Gridconnected circuit breakers, which causes islanding. As per IEEE standards, this islanding condition is to be detected within less than 2 sec. Islanding causes disturbances in voltage and power quality. This paper presents Artificial Neural Network and discrete wavelet transform-based positive sequence phase angle islanding method (RCPABPSVAC). This method predicts islanding detection time for various case studies in an accurate manner. In this work, Discrete wavelet transform analysis is done up to level4, and by using an Artificial Neural network algorithm, the islanding detection time is predicted online. Simulation of Positive sequence phase angle islanding method is done on Matlab 2018b platform. Discrete wavelet transform and ANN is carried using python 3.9.5.
Artificial Neural Network, Discrete wavelet transforms, Islanding Detection, PV array, Rate of change of the phase angle between Positive sequence voltage and current (RCPABPSVAC).
 Goud, B. S., and Reddy, C. R, Essentials for Grid Integration of Hybrid Renewable Energy Systems: A Brief Review, International Journal of Renewable Energy Research (IJRER).10(2) (2020) 813- 830.
 C.R.Reddy, B.S.Reddy, B.N.Pratyusha, M.Kumar and C.V.Rekha Review of Islanding Detection Parameters in Smart Grids, Proctor 8th International Conference on Smart Grid. (2020) 78-89.
 Manohar Mishra, Sheetal chandak and Pravat Kumar Rout, Taxonomy Islanding detection techniques for distributed generation in the microgrid.Renewable Energy Focus.31(0) (2020) 9-30.
 Ch.RamiReddy, K.Harinadha Reddy, Islanding Detection Techniques for Grid Integrated Distributed Generation –A Review, International Journal Of Renewable Energy Research.09(2) (2019) 960-977.
 Tran Quoc-Tuan, New methods of islanding detection for photovoltaic inverters,IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). (2016) 1-5.
 Ahmed G. Abokhalil, Ahmed Bilal Awan, Abdel-Rahman Al- Qawasm,“Comparative Study of Passive and Active Islanding Detection Methods for PV Grid-Connected Systems, Sustainability. 10(6) (2018) 1-15.
 Pukar Mahat, Zhe Chen, Birgitte Bak-Jensen,Review of islanding detection methods for distributed generation, Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. (2008) 2743-2748.
 Reddy, C. R., and Reddy, K. H, Islanding detection for inverter based distributed generation with Low frequency current harmonic injection through Q controller and ROCOF analysis, Journal of electrical systems.14(2) (2018) 179-191.
 Nigamananda Panigrahy, Ilamparithi M. V. Kashinath, Ram Prakash, Comparison and Review of Islanding Detection Techniques for Power Distribution Studies, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. 5(7) (2016) 6485-6492.
 S.Elangovan,Recent trends in sustainable development of renewable energy, International Conference on Advances in Electrical Technology for Green Energy.(2017) 148-150.
 Aziah Khamis, H. Shareef, Erdal Bizkevelci and Tamer Khatib, A review of islanding detection techniques for renewable distributed generation systems, Renewable and Sustainable Energy Reviews.28(C) (2013) 483-493.
 Raju, S. Govinda, K. Harinadha Reddy, and Ch Reddy, Islanding Detection Parameters for Integrated Distributed Generation, Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 14(2) (2021) 131-143.
 K.N.E.K. Ahmad, Jeyraj Selvaraj and Nasrudin Abd Rahim, A review of the islanding detection methods in grid connected PV inverters, Renewable and Sustainable Energy Reviews.21(C) (2013) 756-766.
 C. Li, Chi Cao, Yijia Cao, Yonghong Kuang and Baling Fang, A review of islanding detection methods for microgrid,Renewable and Sustainable Energy Reviews. 35(C) (2014) 211-220.
 Meita Rumbayan, Development of power system infrastructure model for the island communities: A case study in a remote island of Indonesia, International Conference on Advanced Mechatronic Systems.(2017) 515-518.
 Tirta Samuel Mehang, Dedet Candra Riawan, Kadwane, and Vita Lystianingrum B. Putri, Islanding Detection in Grid-Connected Distributed Photo voltaic Generation Using Artificial Neural Network, International Seminar on Intelligent Technology and Its Applications. (2018) 181–186.
 Kunte. R, A wavelet transform-based islanding detection algorithm for inverter assisted distributed generators. Ms. c. thesis, Tennessee Technological University (2009).
 Hsieh,Cheng-Tao,Jeu-Min Lin, and Shyh-Jier Huang, Enhancement of islanding-detection of distributed generation systems via wavelet transform-based approaches, International Journal of Electrical Power & Energy Systems. 30(10) (2008) 575- 580.
 Prakash K. Ray, and Kishore, Soumya R. Mohanty, Islanding and Power Quality Disturbance Detection in Grid-Connected Hybrid Power System Using Wavelet and –Transform,IEEE transactions on smart grid.3(3) (2019) 1082- 1094.
 Basanta Pancha, Ajay Kumar Jha and Rajendra Shrestha, Islanding Detection in Distributed Generation Integrated Thimi – Sallaghari Distribution Feeder Using Wavelet Transform and Artificial Neural Network, Journal of the Institute of Engineering.15(2) (2019) 55-61.
 Siddhartha Behera, and Prof.(Dr.)Ranjan Kumar Mallick,Islanding detection of microgrid using Neural Network,IEEE International Conference on Computational Intelligence for Smart Power System and Sustainable Energy. (2020) 29-31.
 Thiago S. Menezes and Denis V. Coury, Ricardo A. S. Fernandes. Islanding Detection Based on Artificial Neural Network and Stransform for Distributed Generators, IEEE Milan power Tech, (2019).
 Josep L. Rosselló, Vincent Canals, Antoni Morro,Thiago S. Menezes, Denis V. Coury and Ricardo A. S. Fernandes, Hardware Implementation of Stochastic-Based Neural Networks. International Joint Conference on Neural Networks (IJCNN), (2010).
 Itani Phafula, Ellen De Mello Koch, and Ken Nixon, Preliminary Study of Fault Detection on an Islanded Microgrid Using Artificial Neural Networks, International SAUPEC/ RobMech/ PRASA Conference (2020).
 Faa-Jeng Lin, Kuang-Hsiung Tan and Jian-Hsing Chiu,Itani Phafula, Ellen De Mello Koch, and Ken Nixon, Active Islanding Detection Method Using Wavelet Fuzzy Neural Network, IEEE World Congress on Computational Intelligence. (2012) 10-15.
 M Krishna Goriparthy, B Geetha Lakshmi. Balanced islanding detection of integrated DG with phase angle between voltage and current, Indonesian Journal of Electrical Engineering and Computer Science. 23(1) (2021) 32-40.
 V. Ramakrishna Prasad, Y. Nagaraja, An Anti-islanding Technique for Protection of Distribution Generation, International Journal of Engineering Trends and Technology. 23(4) (2015) 177– 182.