ROCOF for detecting Islanding of Photovoltaic system

Elshrief, Yasser Ahmed; Helmi, Dalal Hussein; Asham, Amin Danial; abozalam, Belal Ahmed

doi:10.21608/mjeer.2019.70897

	ROCOF for detecting Islanding of Photovoltaic system
Menoufia Journal of Electronic Engineering Research
Article 21, Volume 28, ICEEM2019-Special Issue, 2019, Pages 255-258
Document Type: Original Article
DOI: 10.21608/mjeer.2019.70897
Authors
Yasser Ahmed Elshrief¹; Dalal Hussein Helmi²; Amin Danial Asham³; Belal Ahmed abozalam⁴
¹Electrical dept. Egyptian Academy for Engineering and Advanced Technology affiliated to the ministry of military production (EAEAT)
²Ministry of Electricity Sector Head of Electricity Market and Cross-Border Interconnection Sector at Egyptian Electricity Holding Company (EEHC) Cairo, Egypt
³Mechatronics Dept. Egyptian Academy for Engineering and Advanced Technology affiliated to the ministry of military production
⁴industrial electronics and control engineering Dept. Faculty of Electronics Engineering, Menofiua university
Abstract
Power industry has been emphasizing more importance on a distributed generation because there is new technology like Photovoltaic (PV), fuel cell, wind turbine, and power electronic use for advancement of the power system has been evolved so much which cannot be possible without distributed generation. The majority of small scale PV systems are domestic roof-top type installations and are generally single-phase systems. Rebates and concession schemes that were introduced by the government for installing small scale PV systems along with price reductions in PV panels are the main reasons for the increased number of grid-connected small scale PV systems in the power distribution grid. Hence Distributed Generation (DG) has become an inseparable part in power system and gained so much importance because of economic and environmental purpose. Islanding is a situation where a part of the distributed generation system containing a distributed generator gets electrically isolated from the remainder of the power system continues to energize the network where the situation has occurred. Thus it has become important that the portion where islanding has occurred must detect this situation immediately for safety purpose. If tripping doesn’t occur in time, there can be a various and critical problem. Currently, in industry practice, we disconnect all distributed generators after islanding has occurred. Generally, a distributed generator should be disconnected within 0.1s to 0.3s after the loss of grid/main supply. This paper gives a simulation model to achieve this, each distributed generator must be supplied with an anti-islanding device which detects islanding like UOF and ROCOF relays.
Keywords
— islanding detection; Distributed generation; integrated power distribution network; non-detection zone; islanding detection method; ROCOF

References
[1] Haidar S, Farid H, Teymoor G. Minimum non-detection zone for islanding detection using an optimal artificial neural network algorithm based on PSO. Renew Sustain Energy , 2019. [2] Laghari JA, Mokhlis H, Karimi M, Bakar AHA, Mohamad Hasmaini. An islanding detection strategy for distribution network connected with hybrid DG resources. Renew Sustain Energy, 2015. [3] Xiaoqiang G, David X, Bin W. Overview of anti-islanding US patents for gridconnected inverters. Renew Sustain Energy , 2018. [4] Canbing L, Chi C, Yijia C, Yonghong K, Long Z, Baling F. A review of islanding detection methods for the microgrid. Renew Sustain Energy, 2014. [5] Huang J, Jiang C, Xu R. A review on distributed energy resources and microgrid. Renew Sustain Energy , 2008. [6] Lidula NWA, Rajapakse AD. Microgrids research: a review of experimental microgrids and test systems. Renew Sustain Energy , 2011. [7] Bayrak G, Cebeci M. Grid-connected fuel cell and PV hybrid power generating system design with Matlab Simulink. Int J Hydrog Energy , 2014. [8] Choudar A, Boukhetala D, Barkat S, Brucker JM. Local energy management of a hybrid PV-storage based distributed generation for microgrids. Energy Convers Manag , 2019. [9] Di Fazioa AR, Fuscoa G, Russoa M, Valeria S, Noceb C, Amuraca G. A smart device for islanding detection in distribution system operation. Electr Power Syst Res , 2015. [10] Fernández-Infantes A, Contreras J, Bernal-Agustín JL. Design of grid-connected PV systems considering electrical, economical and environmental aspects: a practical case. Renew Energy ,2006. [11] Jian W, Xing-yuan L, Xiao-yan Q. Power system research on distributed generation penetration. Autom Electr Power Syst , 2005. [12] Li DHW, Cheung GHW, Lam JC. Analysis of the operational performance and efficiency characteristic for the photovoltaic system in Hong Kong. Energy Convers Manag , 2005. [13] Velasco D, Trujillo CL, Garcera G, Figueres E. Review of anti-islanding techniques in distributed generators. Renew Sustain Energy Rev , 2010. [14] Bayrak G, Cebeci M. A communication-based islanding detection method for photovoltaic distributed generation systems. Int J Photoenergy , 2014. [15] Ku Ahmad KNE, Selvaraj J, Rahim NA. A review of the islanding detection methods in grid-connected PV inverters. Renew Sustain Energy , 2013. [16] Khamis A, Shareef H, Bizkevelci E, Khatib T. A review of islanding detection techniques for renewable distributed generation systems. Renew Sustain Energy , 2013. [17] Ciobotaru M, Teodorescu R, Rodriguez P, Timbus A, Blaabjerg F. Online grid impedance estimation for single-phase grid-connected systems using PQ variations. In: Proceedings of IEEE power electronics specialists conference , 2009. [18] Liserre M, Blaabjerg F, Teodorescu R. Grid impedance estimation via excitation of LCL filter resonance. IEEE Trans Ind Appl , 2007. [19] IEEE Application Guide for IEEE Std 1547. IEEE standard for interconnecting distributed resources with electric power systems , 2009. [20] Bayrak G. A remote islanding detection and control strategy for photovoltaic based distributed generation systems. Energy Convers Manag , 2015. [21] Papadimitriou CN, Kleftakis VA, Hatziargyriou ND. A novel islanding detection method for microgrids based on variable impedance insertion. Electr Power Syst Res , 2015. [22] Aljankawey AS, Walid GM, Chang L, Diduch CP. Passive method-based islanding detection of renewable-based distributed generation. In: Proceedings of the electric power and energy conference , 2010. [23] Trujillo CL, Velasco D, Figueres E, Garcerá G. Analysis of active islanding detection methods for grid-connected micro inverters for renewable energy processing. Appl Energy , 2010. [24] Menon V, Nehrir MH. A hybrid islanding detection technique using voltage unbalance and frequency set point. IEEE Tran. Power Syst , 2007. [25] Eltawil ME, Zhao Z. Grid-connected photovoltaic power systems: technical and potential problems-a review. Renew Sustain Energy , 2010. [26] Llaria A, Curea O, Jiménez J, Camblong H. Survey on microgrids: unplanned islanding and related inverter control techniques. Renew Energy , 2011. [27] Ropp M, Aaker K, Haigh J, Sabhah N. Sabhah using power line carrier communications to prevent islanding. In: Proceedings of 28th IEEE photovoltaic specialist conference , 2000. [28] Jang SI, Kim KH. An islanding detection method for distributed generations using voltage unbalance and total harmonic distortion of current. IEEE Tran. Power Deliv , 2004. [29] Bayrak G, Cebeci M. A novel anti-islanding detection method for grid-connected fuel cell power generation systems. Int J Hydrog Energy , 2014. [30] Laghari JA, Mokhlis H, Karimi M, Bakar AHA, Mohamad H. Computational Intelligence based techniques for islanding detection of distributed generation in distribution network: a review. Energy Convers Manage , 2014. [31] Linfeng Z, Nicolae G, Lawrence HV. Energy management in a microgrid with distributed energy resources. Energy Convers Manage , 2014. [32] Muyeen SM, Hasanien Hany M, Ahmed AD. Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive AN controlled SMES. Energy Convers Manage , 2017. [33] Bayrak G, Cebeci M. A novel labview based anti-islanding detection method for grid-connected PV systems. Proceedings of the international conference on renewable energy research and applications ICRERA. Madrid, Spain, 2013. [34] Bayrak G, Cebeci M. Monitoring a grid-connected photovoltaic power generation system with Labview. In: Proceedings of the international conference on renewable energy research and applications ICRERA , 2013. [35] Yin J, Chang L, Diduch C. A new adaptive logic phase-shift algorithm for anti-islanding protections in inverter-based DG systems. In: Proceedings of IEEE power electronics specialists conference, 2005. [36] Indu Rani B, Srikanth M, Saravana Ilango G, Nagamani C. An active islanding detection technique for the current-controlled inverter. Renew Energy , 2013. [37] Hassaine L, Olías E, Quintero J, Barrado A. Power control for grid-connected applications based on the phase shifting of the inverter output voltage with respect to the grid voltage. Electr Power Energy Syst , 2014. [38] Song H, Wu J, Wu K. A wide-area measurement systems-based adaptive strategy for controlled islanding in bulk power systems. Energies , 2017. [39] Mohamad H, Mokhlis H, Bakar AHA, Ping HW. A review on islanding operation and control for distribution network connected with small hydro power plant. Renew Sustain Energy , 2011. [40] Heidari M, Seifossadat G, Razaz M. Application of decision tree and discrete wavelet transform for an optimized intelligent-based islanding detection method in distributed systems with distributed generations. Renew Sustain Energy , 2013. [41] Chao KH, Yang MS, Hung CP. Islanding detection method of a photovoltaic power generation system based on a CMAC neural network. Energies ,2013. [42] Mariani V, Vasca F, Guerrero JM. Analysis of droop controlled parallel inverters in islanded microgrids. In: Proceedings of the IEEE international energy conference , 2019.
Statistics Article View: 517