Islanding Detection Using Rate of Change of Zero Sequence of Second Harmonic Voltage

Mustafa Mahmoud Abdel-Aziz, Mahmoud Ibrahim Gilany, Doaa Khalil Ibrahim, Aboul Fotouh Abdel-Rheem Mohamed

Abstract


Integrating Distributed Generation (DG) into power system networks causes several difficulties. Islanding is one of the problems associated with system protection which takes place when a DG unit (or group of units) continues to energize a part of the load that has been separated from the main utility. In this paper, the islanding problem is investigated to get an efficient technique for islanding detection. The proposed technique is based on the Rate of Change of Zero Sequence of Second Harmonic Voltage. The technique is tested for an inverter-based DG includes wind turbines with double-fed induction generator (DFIG). The proposed method could distinguish the islanding case correctly within only one cycle without non-detection zone (NDZ). In addition, it could differentiate between the islanding cases at different values for active and reactive power mismatch and other cases such as normal load variation/capacitor switching, etc. Furthermore, power quality disturbances such as voltage sags and swells, faults and outage of one of DGs are tested.


Keywords


Distributed Generation, islanding detection, second harmonic and non-detection zone.

Full Text:

PDF

References


Umbrin S, Azhar B, Muhammad M, Ahmad M and Naila Z. “A review of optimum DG placement based on minimization of power losses and voltage stability enhancement of distribution systemâ€. Renew. Sustain. Energy Rev, 63: 363-378.2016 (Article).

https://doi.org/10.1016/j.rser.2016.05.056

Sambaiah K.“A Review on Optimal Allocation and Sizing Techniques for DG in Distribution Systemsâ€.International Journal of Renewable Energy Research (IJERE),Vol.8.3 , pp. 1236-1256, September 2018(Article).

Mir Emad H and Reza M. “ Optimal Allocation of Distributed Generation with Optimal Sizing of Fault Current Limiter to Reduce the Impact on Distribution Networks Using NSGA-Iâ€I. IEEE Syst J, 13: 1714 – 1724. 2019(Article).

https://doi: 10.1109/jsyst.2018.2867910

Fernando G, Ghendy C, Chrystian D and Adriano P. “Fault Current Limiter Placement to Reduce Recloser ‑ Fuse Miss coordination in Electric Distribution Systems with Distributed Generation using Multi objective Particle Swarm Optimizationâ€. IEEE Latin America Trans, 16: 1914-1920. 2018 (Article).

https://doi: 10.1109/tla.2018.8447357

Mahdi G, Reza M and Hamid J. “Method to resolve false tripping of non-directional over current relays in radial networks equipped with distributed generatorsâ€. IET Gener. Transm. Distrib, 13: 485-494.2019 (Article).

https://doi: 10.1049/iet-gtd.2018.5610

Zeineb A, Adel G, Lazhar B, Mohamed H and Nasser A. “Review of Optimization Techniques Applied for the Integration of Distributed Generation from Renewable energy Sourceâ€s. Renew energy, 113: 266-280.2017 (Article).

https://doi.org/10.1016/j.renene.2017.05.087

Pouryekta A, Ramach VK, Mithulananthan N and Arulampalam A.“ Islanding Detection and Enhancement of Microgrid Performanceâ€. IEEE Syst J 12:3131–3141.2018(Article)

https://doi.org/10.1109/JSYST.2017.2705738

Kermany Sd, Joorabian M, Deilami S, Masoum MAS “Hybrid Islanding Detection in Microgrid with Multiple Connection Points to Smart Grids Using Fuzzy-Neural Networkâ€. IEEE Trans. Power Syst 32:2640–2651.2017 (Article).

https://doi.org/10.1109/TPWRS.2016.2617344

Gustavo M, Matias R, Ghendy C, Lenois M and Adriano M. “Passive method for distributed-generation island detection based on oscillation frequencyâ€, IEEE Trans. Power Deliv , 31, (1): 138–146.2015(Article).

https://doi: 10.1109/TPWRD.2015.2438251

Rami CH. and Harinadha R. “ Islanding Detection Techniques for Grid Integrated Distributed Generation – A Review†International Journal of Renewable Energy Research (IJERE),Vol.9.2 , pp. 960-977, June 2019 (Article).

Sijia L, Shengxian Z, Quan X, and Jian X. “ Improved voltage shift islanding detection method for multi-inverter grid-connected photovoltaic systemsâ€, IET Gener. Trans. Distrib, 10, (13): 3163-3169.2016(Article).

https://doi: 10.1049/iet-gtd.2015.1151

Mamadou L, Mylene R, Kodjo A. and Remy S. “Islanding Detection Method for a Hybrid Renewable Energy Systemâ€. International Journal of Renewable Energy Research (IJERE),Vol.1.1 , pp. 41-53, 2011(Article).

Canbing L, Chi C, Yijia C, Yonghong K, Long Z and Baling F. “A review of islanding detection methods for microgridâ€, Renew. Sustain. Energy Rev. 35: 211–220. 2014 (Article). https://doi.org/10.1016/j.rser.2014.04.026

Mahdiyeh Kh, Hesan V. Farid Kh and Hashem O.“ A Novel Hybrid Islanding Detection Method for Inverter-Based DGs Using SFS and ROCOâ€F. IEEE Trans. Power Deliv. 32: 2162 – 2170.2015 (Article).

https://doi: 10.1109/tpwrd.2015.2406577

Manikonda SKG, Gaonkar DN “Comprehensive review of IDMs in DG systemâ€s. IET Smart Grid 2:11–24. 2018 (Article).

https://doi.org/10.1049/iet-stg.2018.0096

Rostami A, Abdi H, Moradi M, et al “Islanding Detection based on ROCOV and ROCORP Parameters in the Presence of Synchronous DG Applying the Capacitor Connection Strategyâ€. Electr Power Components Syst 45:315–330. 2017 (Article).

https://doi- 10.1080/15325008.2016.1250842

Canbing Li, Cao C, Cao Y, et al “A review of islanding detection methods for microgridâ€. Renew Sustain Energy Rev 35:211–220.2014 (Article).

https://doi.org/10.1016/j.rser.2014.04.026

Ahmed G., Dalia F. and Elsayed T. “ Islanding detection method for DFIG wind turbines using artificial neural networksâ€, electrical power and energy systems, 62:335-343.2014 (Article).

https://doi.org/10.1016/j.ijepes.2014.04.052

Raza H, Teymoor Gh and Chul‑Hwan K. “ Islanding Detection Scheme for Inverter‑Based Distributed Generation Systems Using Cumulative Reactive Power Harmonicsâ€. J of Elec. Eng. & Tech. 14:1907–1917. 2019(Article).

https://doi.org/10.1007/s42835-019-00237-3

Julia M, Patricio M, Giri V and Mustafa B. “Islanding Detection in Microgrids Using Harmonic Signaturesâ€. IEEE Trans. Power Deliv, 30(5):2102-2109.2015 (Article).

https://doi: 10.1109/tpwrd.2014.2383412

Raza H, Chul‑Hwan K, Teymoor Gh and Syed B. “Harmonic-signature-based islanding detection in grid-connected distributed generation systems using Kalman filterâ€. IET Renew. Power Gener., 12:1813-1822.2018 (Article).

https://doi: 10.1049/iet-rpg.2018.5381

Rahul S, Sumant G, Kadwane and Dusmanta K “Harmonics-Based Enhanced Passive Islanding Method for Grid-Connected Systemâ€. Electric Power Components and Systems, 0(0):1–10.2017 (Article).

https://doi.org/10.1080/15325008.2017.1361485

Papadimitriou CN, Kleftakis VA, Hatziargyriou ND “Control strategy for seamless transition from islanded to interconnected operation mode of microgridsâ€. J Mod Power Syst. Clean Energy 5:169-176.2017 (Article).

https://doi.org/10.1007/s40565-016-0229-0

Kay Y. “Wind-Turbine Harmonic Emissions and Propagation through a Wind Farmâ€. Sweden, LuleÃ¥ University of Technology, Department of Engineering Sciences and Mathematics.2012 (Thesis).

https://doi- 10.13140/RG.2.1.3227.2803

Math B and Kay Y. “ Harmonic aspects of wind power integrationâ€. J Mod Power Syst. Clean Energy, 1: 14-21. 2013(Article)

https://doi: 10.1007/s40565-013-0001-7




DOI (PDF): https://doi.org/10.20508/ijrer.v10i3.11238.g8026

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE between 2020-2022; 

h=30,

Average citation per item=5.73

Impact Factor=(1638+1731+1808)/(189+170+221)=9.24

Category Quartile:Q4