Modeling of islanding detection methods for microgrid

The increase in world demand for energy as well as environmental concern over scarce and limited fossil fuels has significantly triggered the search for environmentally friendly and renewable energy resources. In Malaysia, the system maximum demand in Peninsular has increased 4.65% from the year 201...

Full description

Saved in:

Bibliographic Details
Main Author:	Sapar, Ahmad Farid
Format:	Thesis
Language:	English English
Published:	2016
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/21437/1/Modeling%20Of%20Islanding%20Detection%20Methods%20For%20Microgrid.pdf http://eprints.utem.edu.my/id/eprint/21437/2/Modeling%20of%20islanding%20detection%20methods%20for%20microgrid.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utem-ep.21437
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Gan, Chin Kim
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Sapar, Ahmad Farid Modeling of islanding detection methods for microgrid
description	The increase in world demand for energy as well as environmental concern over scarce and limited fossil fuels has significantly triggered the search for environmentally friendly and renewable energy resources. In Malaysia, the system maximum demand in Peninsular has increased 4.65% from the year 2012 to 16,562 MW which has been recorded in May 13, 2013. Hence, to meet future energy requirement, some proactive measures of alternatives or renewable sources of energy must be established. In this context, the Micro-Grid (MG) concept is the potential solution to the issue of scarce natural resources. However, one of the major challenges associated with implementation of MG is to design an appropriate protection scheme which can protect MG in both grid and islanded mode. Considering this, a MG microswitch-based OUV and OUF IDMs through passive, Non-Intelligent IDM techniques was modelled and simulated. Microswitch-based performance testing has been carried out on both grid-connected and island modes, and considering the active power flow between the two systems and accompanying with different faulty conditions on each case and tested it five simulation cases based on the IEEE Standard 1547.4 test systems. These models were also tested with two fault of conditions in IEEE 15-bus radial distribution test system. The investigation from both test systems shows that, the proposed microswitch-based is effectively to perform in grid-connected and islanded modes. It also could import, export and isolate the active power flow without any serious effect in feeding the Unintentional Islanding Test Load and it function effectively under different faulty. Finally, the implemented concept of microswitch-based on MG is recommended to represent actual Malaysian distribution network model and parameters.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Sapar, Ahmad Farid
author_facet	Sapar, Ahmad Farid
author_sort	Sapar, Ahmad Farid
title	Modeling of islanding detection methods for microgrid
title_short	Modeling of islanding detection methods for microgrid
title_full	Modeling of islanding detection methods for microgrid
title_fullStr	Modeling of islanding detection methods for microgrid
title_full_unstemmed	Modeling of islanding detection methods for microgrid
title_sort	modeling of islanding detection methods for microgrid
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Electrical Engineering
publishDate	2016
url	http://eprints.utem.edu.my/id/eprint/21437/1/Modeling%20Of%20Islanding%20Detection%20Methods%20For%20Microgrid.pdf http://eprints.utem.edu.my/id/eprint/21437/2/Modeling%20of%20islanding%20detection%20methods%20for%20microgrid.pdf
_version_	1747834012535095296
spelling	my-utem-ep.214372022-06-07T14:22:07Z Modeling of islanding detection methods for microgrid 2016 Sapar, Ahmad Farid T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The increase in world demand for energy as well as environmental concern over scarce and limited fossil fuels has significantly triggered the search for environmentally friendly and renewable energy resources. In Malaysia, the system maximum demand in Peninsular has increased 4.65% from the year 2012 to 16,562 MW which has been recorded in May 13, 2013. Hence, to meet future energy requirement, some proactive measures of alternatives or renewable sources of energy must be established. In this context, the Micro-Grid (MG) concept is the potential solution to the issue of scarce natural resources. However, one of the major challenges associated with implementation of MG is to design an appropriate protection scheme which can protect MG in both grid and islanded mode. Considering this, a MG microswitch-based OUV and OUF IDMs through passive, Non-Intelligent IDM techniques was modelled and simulated. Microswitch-based performance testing has been carried out on both grid-connected and island modes, and considering the active power flow between the two systems and accompanying with different faulty conditions on each case and tested it five simulation cases based on the IEEE Standard 1547.4 test systems. These models were also tested with two fault of conditions in IEEE 15-bus radial distribution test system. The investigation from both test systems shows that, the proposed microswitch-based is effectively to perform in grid-connected and islanded modes. It also could import, export and isolate the active power flow without any serious effect in feeding the Unintentional Islanding Test Load and it function effectively under different faulty. Finally, the implemented concept of microswitch-based on MG is recommended to represent actual Malaysian distribution network model and parameters. 2016 Thesis http://eprints.utem.edu.my/id/eprint/21437/ http://eprints.utem.edu.my/id/eprint/21437/1/Modeling%20Of%20Islanding%20Detection%20Methods%20For%20Microgrid.pdf text en public http://eprints.utem.edu.my/id/eprint/21437/2/Modeling%20of%20islanding%20detection%20methods%20for%20microgrid.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=107682 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Electrical Engineering Gan, Chin Kim 1. Agrawal M. and Mittal A., 2011. Micro grid technological activities across the globe: A review. Int. J. Res. Rev. Applied Science, 7(5), pp. 147–152. 2. Al Hosani M., Qu Z. and Zeineldin H., 2014. Development of Dynamic Estimators for Islanding Detection of Inverter-Based DG. IEEE Transactions on Power Delivery, pp. 99 - 112. 3. A.S. Aljankawey, W. G. Morsi, L. Chang And C. P. Diduch, 2010. Passive Method-Based Islanding Detection Of Renewable-Based Distributed Generation: The Issues. Electric Power and Energy Conference (EPEC), IEEE, Halifax, NS, Canada, 2010, pp. 1-8. 4. Ashour, M., Ben-brahim, L., Gastli, A., Al-emadi, N., & Fayyad, Y., 2013. Matlab / Simulink Implementation & Simulation of Islanding Detection using Passive Methods. 2013 IEEE GCC Conference and Exhibition, 2, pp. 320–325. 5. Azhar Omar, Othman Omar, Asma Aini Mohd Nadzri, A. R. I., 2014. Micro-grids. Towards A World-Class Energy Sector Spark of Efficiency, 1(1), pp. 42-48. 6. R. Azim et al., 2015. A Comparative Analysis Of Intelligent Classifiers For Passive Islanding Detection In Microgrids. PowerTech, 2015 IEEE Eindhoven, Eindhoven, 2, pp. 1-6. 7. Babu, B. B. S., & Devi, N. R., 2012. Islanding Detection In Distributed Generations Using Negative Sequence Components, International Journal of Engineering Science & Advanced Technology (IJESAT), 5, pp. 1440–1446. 8. Balaguer-álvarez, I. J., Kim, H.-G., Peng, F. Z., & Ortiz-rivera, E. I., 2010. Survey of Distributed Generation Islanding Detection Methods. IEEE Latin America Transaction, 8(5), pp. 565–570. 9. J. Bashir, P. Jena and A. K. Pradhan, 2014. Islanding Detection Of A Distributed Generation System Using Angle Between Negative Sequence Voltage And Current, Power Systems Conference (NPSC), 2014 Eighteenth National, Guwahati, pp. 1-5 10. Bataineh, A., Alqudah, A., & Athamneh, A., 2014. Optimal Design of Hybrid Power Generation System to Ensure Reliable Power Supply to the Health Center at Umm Jamal. Energy and Environment Research, 4(3), pp. 9–20. 11. Bayrak, G., & Cebeci, M., 2014. A Novel Anti Islanding Detection Method For Grid Connected Fuel Cell Power Generation Systems. International Journal of Hydrogen Energy, 39(16), pp. 8872–8880. 12. Bhaskara, S. N., & Chowdhury, B. H., 2012. Microgrids - A review of modeling, control, protection, simulation and future potential. IEEE Power and Energy Society General Meeting, pp. 1–7. 13. Chao, K.-H., Yang, M.-S., & Hung, C.-P., 2013. Islanding Detection Method of a Photovoltaic Power Generation System Based on a CMAC Neural Network. Energies, 6(8), pp. 4152–4169.S. Karthick and K. S. Swarup, 2014. A Novel Islanding Detection Based On Coupling In Control Action Between Real And Reactive Current Components, Power Systems Conference (NPSC), pp. 1-5. 14. Dehghani, M., Khooban, M. H., & Niknam, T., 2016. Fast Fault Detection And Classification Based On A Combination Of Wavelet Singular Entropy Theory And Fuzzy Logic In Distribution Lines In The Presence Of Distributed Generations. International Journal of Electrical Power & Energy Systems, 78, pp. 455–462. 15. El-Sehiemy, R., & Ahmed, E., 2010. Integration of Distributed Generating Units into Distribution Networks. Proceeding of the 14th International Middle East Power Systems Conference (MEPCON 10), pp. 801–806. 16. Energy Commision, 2014. Peninsular Malaysia Electricity Supply Industry Outlook 2014, pp. 73. 17. Energy Commision, 2014. Towards A World-Class Energy Sector : Ensuring Growth. Energy Malaysia, 2, pp. 52. 18. Energy Commision Committee, 2014. Malaysia Energy Statistics Handbook 2014. 19. Estebanez, E. J., Moreno, V. M., Pigazo, A., Liserre, M., & Dell’Aquila, A., 2011. Performance Evaluation of Active Islanding-Detection Algorithms in Distributed-Generation Photovoltaic Systems: Two Inverters Case. IEEE Transactions on Industrial Electronics, 58(4), pp. 1185–1193. 20. Etxegarai, A., Eguía, P., & Zamora, I., 2011. Analysis Of Remote Islanding Detection Methods For Distributed Resources. International Conference on Renewable Energies and Power Quality (ICREPQ’11), pp. 1–6. 21. Ghanbari, T., Samet, H., & Hashemi, F., 2015. Islanding Detection Method For Inverter-Based Distributed Generation With Negligible Non-Detection Zone Using Energy Of Rate Of Change Of Voltage Phase Angle. IET Generation, Transmission & Distribution, 9(15), pp. 2337–2350. 22. Gonz´alez, G. H., 2011. Low-Frequency Disturbance Injection for Active Islanding Detection of Multiple Electronically-Interfaced Distributed Generation Units, pp. 19 – 22. 23. IEEE standards Coordinating Committee 21., 2009. IEEE Application Guide for IEEE Std 1547(TM), IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems. 24. Khamis, A., Shareef, H., Bizkevelci, E., & Khatib, T., 2013. A review of islanding detection techniques for renewable distributed generation systems. Renewable and Sustainable Energy Reviews, 28, pp. 483–493. 25. Kumar, M., Samuel, C., & Jaiswal, A., 2015. An Overview Of Distributed Generation In Power Sector. International Journal of Science, Technology & Management, 4, pp. 1407–1423. 26. Kumar, P. S., 2014. A new PV/fuel Cell based Bidirectional Converter for Microgrid Applications. International Journal of Emerging Engineering Research and Technology (IJERT), 2(5), pp. 121-129. 27. Laghari, J. a, Mokhlis, H., Karimi, M., Bakar, a H. a, & Mohamad, H., 2014. Computational Intelligence based techniques for islanding detection of distributed generation in distribution network : A review. Energy Conversion and Management, 88, pp. 139–152. 28. Laour, M., Mahrane, A., Akel, F., & Bendib, D., 2014. Implementation of Active Anti-Islanding Methods Protection Devices for Grid Connected Photovoltaic Systems. International Journal of Electrical Energy, 2(2), pp. 89–93. 29. Lasseter, R., Akhil, A., Marnay, C., & Stephens, J., 2002. Integration of distributed energy resources. The CERTS Microgrid Concept. Economic Issues. 30. Lasseter, R. H., 2007. CERTS Microgrid. International Conference on System of Systems Engineering, pp. 1–6. 31. Lee, J. M., 2011. Islanding Detection Methods for Microgrids. 32. Li, C., Cao, C., Cao, Y., Kuang, Y., Zeng, L., & Fang, B., 2014. A review of islanding detection methods for microgrid. Renawable and Sustainable Energy Reviews, 35, pp. 211–220. 33. Liu, F., Lin, X., Kang, Y., Zhang, Y., & Duan, S., 2008. An active islanding detection method for grid-connected converters. 2008 3rd IEEE Conference on Industrial Electronics and Applications, (2), pp. 734–737. 34. Mazloomzadeh, a., Cintuglu, M. H., & Mohammed, O. A., 2013. Islanding Detection Using Synchronized Measurement In Smart Microgrids. 2013 IEEE PES Conference on Innovative Smart Grid Technologies, pp. 1-7. 35. Memon, A. A., & Kauhaniemi, K. (2015). A critical review of AC Microgrid protection issues and available solutions. Electric Power Systems Research, 129, pp. 23–31. 36. Micheal C. Wrinch., 2008. Negative Sequence Impedance Measurement for Distributed Generator Islanding Detection. 37. Mirsaeidi, S., Said, D. M., Mustafa, M. W., Habibuddin, M. H., & Miveh, M. R., 2013. A Comprehensive Overview Of Different Protection Schemes In Micro-Grids. International Journal of Emerging Electric Power Systems, 14(4), pp. 327–332. 38. Mohammadzadeh Niaki, a. H., & Afsharnia, S., 2014. A New Passive Islanding Detection Method And Its Performance Evaluation For Multi-DG Systems. Electric Power Systems Research, 110, pp. 180–187. 39. Momoh, J. A., 2012. Centralized and Distributed Generated Power Systems - A Comparison Approach. Power Systems Engineering Research Center, 12(8), pp. 1 -30. 40. Mulhausen, J., Schaefer, J., Mynam, M., Guzman, a., & Donolo, M., 2010. Anti-Islanding Today, Successful Islanding In The Future. Protective Relay Engineers, 63rd Annual Conference, pp. 1–8. 41. Murugesan, a, Umarani, C., Subramanian, R., & Nedunchezhian, N., 2009. Bio-Diesel As An Alternative Fuel For Diesel Engines — A Review. International Journal of Engineering Technology, Management and Applied Sciences, 13(7), pp. 653–662. 42. Nurul, K., Ku, E., Selvaraj, J., & Rahim, N. A., 2013. A review of the islanding detection methods in grid-connected PV inverters, Renewable and Sustainable Energy Reviews, 21, pp. 756–766. 43. Peng Leong, Y., Siti Indati, M., & Amir Hisham, H., 2011. Climate Change Challenges on CO2 Emission Reduction for Developing Countries: A Case for Malaysia’s Agenda for Action. The International Journal of Climate Change: Impacts and Responses. 2(4), pp. 9 -26. 44. Priyadarshanee, L., 2012. Modeling and Control of Hybrid AC/ DC Micro Grid. International Journal of Advanced Information Science and Technology (IJAIST), 11(11), pp. 1–60. 45. Pujhari, T., 2009. Islanding Detection in Distributed Generation Islanding Detection in Distributed. 46. Reigosa, D. D., Briz, F., Member, S., Charro, C. B., García, P., & Guerrero, J. M., 2012. Active Islanding Detection Using High-Frequency Signal Injection. IEEE Transactions on Industry Application, 48(5), 1588– 47. Salam, A A, Mohamed, A, & Hannan, M. A., 2008. Technical Challenges on Microgrids. ARPN Journal of Engineering and Applied Sciences, 3(6), pp. 64–69. 48. Saleem, H. A., 2014. Microgrid Modeling and Grid Interconnection Studies. 49. Samet, H., Hashemi, F., & Ghanbari, T., 2015. Minimum Non Detection Zone For Islanding Detection Using An Optimal Artificial Neural Network Algorithm Based On PSO. Renewable and Sustainable Energy Reviews, 52, pp. 1–18. 50. Samui, A., & Samantaray, S. R., 2013. Wavelet Singular Entropy-Based Islanding Detection in Distributed Generation. IEEE Transactions On Power Delivery, 28(1), pp. 411–418. 51. B. Guha, R. J. Haddad and Y. Kalaani, 2015. A Passive Islanding Detection Approach For Inverter-Based Distributed Generation Using Rate Of Change Of Frequency Analysis. SoutheastCon 2015, pp. 1-6. 52. Standards, I., Committee, C., Generation, D., & Storage, E., 2011. IEEE Guide for Design , Operation , and Integration of Distributed Resource Island Systems with Electric Power Systems IEEE Standards Coordinating Committee 21. 53. Suberu, M. Y., Bashir, N., Adefemi, O. M., & Usman, U., 2013. Renewable energy distributed electricity generation and microgrid implementation in rural villages: A review. ARPN Journal of Engineering and Applied Sciences, 8(2), pp. 149–156. 54. Tenaga, K., & Air, 2011. Handbook on the Malaysian Feed-in-Tariff for the Promotion of Renewable Energy. 55. Tenaga Nasional Berhad, T., 2013. TNB Technical Guidebook on Grid-interconnection of Photovoltaic Power Generation System to LV and MV Networks. 56. Teoh, W. Y., & Tan, C. W., 2011. An Overview of Islanding Detection Methods in Photovoltaic Systems. World Academy of Science, Engineering and Technology, 58, pp. 577–585. 57. Vaziri, M. Y., Vadhva, S., Ghadiri, S., Hoffman, C. J., & Yagnik, K. K., 2010. Standards, Rules, And Issues For Integration Of Renewable Resources. IEEE PES General Meeting, PES 2010, 9, pp. 123-131. 58. Velasco, D., Trujillo, C. L., Garcerá, G., Figures, E., & Carranza, O., 2010. Review of Local and Remote Techniques for Islanding Detection in Distributed Generators. International Conference on Rnewable Energies and Power Quality, pp. 2743-2748. 59. Yafaoui, A., 2012. Novel Anti-islanding Detection Method and Maximum Power Tracking Algorithm for Grid Connected Photovoltaic Systems with Interleaved Dc/Dc Converters. 60. Zhang, J., Xu, D., Shen, G., Zhu, Y., & He, N., 2013. An Improved Islanding Detection Method for a Grid-Connected Inverter With Intermittent Bilateral Reactive Power Variation. IEEE Transaction Power Electronics, 28(1), 268–278.

Modeling of islanding detection methods for microgrid

Similar Items