Evaluation of digital metering methods used in protection and reactive power compensation of micro-grids

Stand-alone micro-grids (MGs) and grid-connected MGs with high penetration level of Distributed Generation (DG) are growing at a fast rate. In these grids, the power quality disturbances such as harmonics, inter-harmonics and deviation from the fundamental frequency are widespread. The influence of these disturbances on two categories of digital metering algorithms is evaluated in this paper. The first category is related to the measurement of the fundamental frequency component of current and voltage signals, which are used as inputs of the digital protection algorithms. Most of the relays only use fundamental frequency component of their input voltage and current signals to fulfill the desired protective functions. The accuracy of the protective relays highly depends on the performance of the applied algorithms for extracting the fundamental components. The second evaluated category is related to the reactive power calculation algorithms, which are used in the static VAr compensator (SVC) control system. Utilizing SVC is growing due to the DGs such as wind turbines magnify voltage fluctuations called flicker. Since the SVC compensates only the reactive power related to the fundamental frequency component, the reactive power signal should not be sensitive to the harmonics. In addition, the reactive power calculation should be fast enough that SVC can follow the abrupt changes to mitigate the flicker, efficiently. In this paper, frequency deviation, harmonic, and inter-harmonic phenomena are considered as the most causes for power quality problems. Their influence in digital metering algorithms is evaluated. It is confirmed that defining new indices is mandatory to fully reflect algorithms׳ accuracy and efficiency. Furthermore, the field measurements of instantaneous voltage and current of a wind farm and electric arc furnaces are used for the evaluation.

[1]  Mladen Kezunovic,et al.  Digital protective relaying algorithm sensitivity study and evaluation , 1988 .

[2]  Heng Nian,et al.  Improved control strategy of DFIG-based wind power generation systems connected to a harmonically polluted network , 2012 .

[3]  Mladen Kezunovic,et al.  Design optimization and performance evaluation of the relaying algorithms, relays and protective systems using advanced testing tools , 2000 .

[4]  Arindam Ghosh,et al.  Fault isolation in distributed generation connected distribution networks , 2011 .

[5]  Li-Cheng Wu,et al.  Modeling and testing of a digital distance relay MATLAB/SIMULINK , 2005, Proceedings of the 37th Annual North American Power Symposium, 2005..

[6]  O. M. Micheloud,et al.  Power quality of actual grids with plug-in electric vehicles in presence of renewables and micro-grids , 2015 .

[7]  Teymoor Ghanbari,et al.  An Auto-correlation Function Based Technique for Discrimination of Internal Fault and Magnetizing Inrush Current in Power Transformers , 2015 .

[8]  M.H.J. Bollen,et al.  Estimating Interharmonics by Using Sliding-Window ESPRIT , 2008, IEEE Transactions on Power Delivery.

[9]  Yilu Liu,et al.  Dynamic Single-Phase Synchronized Phase and Frequency Estimation at the Distribution Level , 2015, IEEE Transactions on Smart Grid.

[10]  Muhammad Asghar Saqib,et al.  Power-quality issues and the need for reactive-power compensation in the grid integration of wind power , 2015 .

[11]  Ken Weng Kow,et al.  A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events , 2016 .

[12]  Chris Greacen.  A Guidebook on Grid Interconnection and Islanded Operation of Mini-Grid Power Systems Up to 200 kW , 2014 .

[13]  H. M. Suryawanshi,et al.  Power quality analysis and its effects on energy meter readings and life expectancy , 2014, 2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014].

[14]  Haidar Samet,et al.  Quantizing the deterministic nonlinearity in wind speed time series , 2014 .

[15]  Ebrahim Farjah,et al.  A dynamic, nonlinear and time‐varying model for electric arc furnace , 2015 .

[16]  Teymoor Ghanbari,et al.  Discrimination of internal fault from magnetising inrush current in power transformers based on sine-wave least-squares curve fitting method , 2015 .

[17]  O. Alsayegh,et al.  Grid-connected renewable energy source systems: Challenges and proposed management schemes , 2010 .

[18]  Reza Taghavi,et al.  Stochastic reactive power dispatch in hybrid power system with intermittent wind power generation , 2015 .

[19]  Haidar Samet,et al.  Restricting minimum size of DGs to confirm correct operation of fast directional protection switches in their simultaneous allocation with DGs , 2015 .

[20]  Emilio Gómez-Lázaro,et al.  Power quality surveys of photovoltaic power plants: characterisation and analysis of grid-code requirements , 2015 .

[21]  Na Ma,et al.  A power harmonic detection method based on Wavelet Neural Network , 2010, Proceedings of the 29th Chinese Control Conference.

[22]  Zhu Guiping,et al.  Optimisation of reactive power compensation of HVAC cable in off-shore wind power plant , 2015 .

[23]  Om Prakash Mahela,et al.  Topological aspects of power quality improvement techniques: A comprehensive overview , 2016 .

[24]  Josep M. Guerrero,et al.  Microgrids in active network management – part II: System operation, power quality and protection , 2014 .

[25]  O. Arikan,et al.  Power quality assessment of grid-connected wind farms considering regulations in turkey , 2009 .

[26]  Mahmoud Pesaran,et al.  A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances , 2015 .

[27]  F. N. Belchior,et al.  Comparative analysis of power quality instruments measuring voltage and power , 2014, 2014 16th International Conference on Harmonics and Quality of Power (ICHQP).

[28]  A. Testa,et al.  On the Processing of harmonics and interharmonics: using Hanning window in standard framework , 2004, IEEE Transactions on Power Delivery.

[29]  Haidar Samet,et al.  Enhancement of electric arc furnace reactive power compensation using Grey–Markov prediction method , 2014 .

[30]  P.F. Ribeiro,et al.  A PLL-Based Multirate Structure for Time-Varying Power Systems Harmonic/Interharmonic Estimation , 2009, IEEE Transactions on Power Delivery.

[31]  Om Prakash Mahela,et al.  A critical review of detection and classification of power quality events , 2015 .

[32]  Haidar Samet,et al.  Improving transient stability of double fed induction generator using fuzzy controller , 2014 .

[33]  Yun Wei Li,et al.  A grid fundamental and harmonic components detection method for single-phase systems , 2012, 2012 IEEE Energy Conversion Congress and Exposition (ECCE).

[34]  Li Wang,et al.  Power quality measurements and analysis for Zhong-Tun Wind Farm in Penghu , 2013, 2013 CACS International Automatic Control Conference (CACS).

[35]  M. Parniani,et al.  Predictive Method for Improving SVC Speed in Electric Arc Furnace Compensation , 2007, IEEE Transactions on Power Delivery.

[36]  Mahesh M. Bundele,et al.  A critical review of voltage and reactive power management of wind farms , 2015 .

[37]  Juan Gong,et al.  A Novel Harmonic and Reactive Currents Detection Method For Hybrid Active Power Filter , 2010, 2010 Asia-Pacific Power and Energy Engineering Conference.

[38]  Jin Kwon Hwang,et al.  Power System Frequency Estimation by Reduction of Noise Using Three Digital Filters , 2014, IEEE Transactions on Instrumentation and Measurement.

[39]  Yuan Li,et al.  Power-quality of distribution networks with high penetrated intermittent distributed generation: A survey , 2014, 2014 International Conference on Power System Technology.

[40]  Md. Shamim Reza,et al.  Power System Frequency Estimation by Using a Newton-Type Technique for Smart Meters , 2015, IEEE Transactions on Instrumentation and Measurement.

[41]  Teymoor Ghanbari,et al.  Islanding detection method for inverter-based distributed generation with negligible non-detection zone using energy of rate of change of voltage phase angle , 2015 .

[42]  G. Scelba,et al.  Fault-Decoupled Instantaneous Frequency and Phase Angle Estimation for Three-Phase Grid-Connected Inverters , 2016, IEEE Transactions on Power Electronics.

[43]  Zhe Chen,et al.  Dynamic Reactive Power Compensation of Large-Scale Wind Integrated Power System , 2015, IEEE Transactions on Power Systems.

[44]  Haidar Samet,et al.  A wide nonlinear analysis of reactive power time series related to electric arc furnaces , 2012 .

[45]  Haidar Samet,et al.  Employing stochastic models for prediction of arc furnace reactive power to improve compensator performance , 2008 .

[46]  Tommy W. S. Chow,et al.  Measurement and evaluation of instantaneous reactive power using neural networks , 1994 .

[47]  Violeta-Vali Ciucur.  Power quality analysis of renewable energy sources in Romania , 2014, 2014 16th International Conference on Harmonics and Quality of Power (ICHQP).

[48]  Danilo P. Mandic,et al.  Complex-Valued Least Squares Frequency Estimation for Unbalanced Power Systems , 2015, IEEE Transactions on Instrumentation and Measurement.

[49]  Teymoor Ghanbari,et al.  Minimum non detection zone for islanding detection using an optimal Artificial Neural Network algorithm based on PSO , 2015 .

[50]  Sarsing Gao,et al.  Power quality analysis of hybrid renewable energy system , 2015 .

[51]  T.C. Green,et al.  Control of power quality in inverter-based distributed generation , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[52]  Mohammad Nizam Ibrahim,et al.  An advanced method for evaluation of measurement algorithms used in digital protective relaying , 2009, 2009 Australasian Universities Power Engineering Conference.