Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based DG
Received date: 25 Nov 2013
Accepted date: 04 Feb 2014
Published date: 02 Mar 2015
Copyright
In this paper, a passive neuro-wavelet based islanding detection technique for grid-connected inverter-based distributed generation was developed. The weight parameters of the neural network were optimized by intelligent water drop (IWD) to improve the capability of the proposed technique in the proposed problem. The proposed method utilizes and combines wavelet analysis and artificial neural network (ANN) to detect islanding. Connecting distributed generator to the distribution network has many benefits such as increasing the capacity of the grid and enhancing the power quality. However, it gives rise to many problems. This is mainly due to the fact that distribution networks are designed without any generation units at that level. Hence, integrating distributed generators into the existing distribution network is not problem-free. Unintentional islanding is one of the encountered problems. Discrete wavelet transform (DWT) is capable of decomposing the signals into different frequency bands. It can be utilized in extracting discriminative features from the acquired voltage signals. In passive schemes with a large non-detection zone (NDZ), concern has been raised on active method due to its degrading power quality effect. The main emphasis of the proposed scheme is to reduce the NDZ to as close as possible and to keep the output power quality unchanged. The simulation results from Matlab/Simulink shows that the proposed method has a small non-detection zone, and is capable of detecting islanding accurately within the minimum standard time.
Mehrdad TARAFDAR HAGH , Homayoun EBRAHIMIAN , Noradin GHADIMI . Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based DG[J]. Frontiers in Energy, 2015 , 9(1) : 75 -90 . DOI: 10.1007/s11708-014-0337-3
1 |
El-Saadany E F, Zeineldin H H, Al-Badi A H. Distributed generation: benefits and challenges. In: International Conference on Communication, Computer & Power, 2007, 115–119
|
2 |
Algarni A. Operational and planning aspects of distribution systems in deregulated electricity markets. Dissertation for the Doctoral Degree. Waterloo: University of Waterloo, 2009
|
3 |
Zeineldin H H, El-Saadany E F, Salama M M A. Islanding detection of inverter based distributed generation. IEE Proceedings-Generation, Transmission and Distribution, 2006, 153(6): 644–652
|
4 |
Eltawil M A, Zhao Z. Grid-connected photovoltaic power systems: Technical and potential problems—a review. Renewable & Sustainable Energy Reviews, 2010, 14(1): 112–129
|
5 |
Congressional Budget Office. Congress of the U.S. Prospects for distributed electricity generation. 2003-09
|
6 |
Zeineldin H H, El-Saadany E F, Salama M M A. Impact of DG interface control on islanding detection and non-detection zones. IEEE Transactions on Power Delivery, 2006, 21(3): 1515–1523
|
7 |
Standards Coordinating Committee 21. IEEE Standard 1547TM. IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems. New York: the Institute of Electrical and Electronics Engineers, 2003
|
8 |
Hernandez-Gonzalez G, Iravani R. Current injection for active islanding detection of electronically-interfaced distributed resources. IEEE Transactions on Power Delivery, 2006, 21(3): 1698–1705
|
9 |
Karimi H, Yazdani A, Iravani R. Negative-sequence current injection for fast islanding detection of a distributed resource unit. IEEE Transactions on Power Electronics, 2008, 23(1): 298–307
|
10 |
Ropp M E, Begovic M, Rohatgi A. Analysis and performance assessment of the active frequency drift method of islanding prevention. IEEE Transactions on Energy Conversion, 1999, 14(3): 810–816
|
11 |
Hung G K, Chang C C, Chen C L. Automatic phase-shift method for islanding detection of grid-connected photovoltaic inverters. IEEE Transactions on Energy Conversion, 2003, 18(1): 169–173
|
12 |
Kim S. Islanding detection technique using grid-harmonic parameters in the photovoltaic system. Energy Procedia, 2012, 14: 137–141
|
13 |
Chiang W J, Jou H L, Wu J C, Wu K D, Feng Y T. Active islanding detection method for the grid-connected photovoltaic generation system. Electric Power Systems Research, 2010, 80(4): 372–379
|
14 |
Hashemi F, Kazemi A, Soleymani S. A new algorithm to detection of anti-islanding based on dqo transform. Energy Procedia, 2012, 14: 81–86
|
15 |
Choudhry M A, Khan H. Power loss reduction in radial distribution system with multiple distributed energy resources through efficient islanding detection. Energy, 2010, 35(12): 4843–4861
|
16 |
Jang S, Kim K. An islanding detection method for distributed generation algorithm using voltage unbalance and total harmonic distortion of current. IEEE Transactions on Power Delivery, 2004, 19(2): 745–752
|
17 |
Lopes L A C, Zhang Y. Islanding detection assessment of multi-inverter systems with active frequency drifting methods. IEEE Transactions on Power Delivery, 2008, 23(1): 480–486
|
18 |
Ropp M E, Begovic M, Rohatgi A, Kern G A, Bonn R H, Gonzalez S. Determining the relative effectiveness of islanding detection methods using phase criteria and nondetection zones. IEEE Transactions on Energy Conversion, 2000, 15(3): 290–296
|
19 |
Zeineldin H H, Abdel-Galil T, El-Saadany E F, Salama M M A. Islanding detection of grid connected distributed generators using TLS-esprit. Electric Power Systems Research, 2007, 77(2): 155–162
|
20 |
Huang S J, Pai F S. A new approach to islanding detection of dispersed generators with self-commutated static power converters. IEEE Transactions on Power Delivery, 2000, 15(2): 500–507
|
21 |
Mak S T. A new method of generating TWACS type outbound signals for communication on power distribution networks. IEEE Transactions on Power Apparatus and Systems, 1984, PAS-103(8): 2134–2140
|
22 |
Xu W, Zhang G, Li C, Wang W, Wang G, Kliber J. A power line signaling based technique for anti-islanding protection of distributed generators—Part I: scheme and analysis. IEEE Transactions on Power Delivery, 2007, 22(3): 1758–1766
|
23 |
Hsieh C T, Lin J M, Huang S J. Enhancement of islanding-detection of distributed generation systems via wavelet transform-based approaches. International Journal of Electrical Power & Energy Systems, 2008, 30(10): 575–580
|
24 |
Hernández-González G, Iravani R. Current injection for active islanding detection of electronically-interfaced distributed resources. IEEE Transactions on Power Delivery, 2006, 21(3): 1698–1705
|
25 |
John V, Ye Z, Kolwalkar A. Investigation of anti-islanding protection of power converter based distributed generators using frequency domain analysis. IEEE Transactions on Power Electronic, 2004, 19(5): 1177–1183
|
26 |
Shah-Hosseini H. Problem solving by intelligent water drops. In: Proceedings of IEEE Congress on Evolutionary Computation. Singapore, 2007, 3226–3231
|
27 |
Shah-Hosseini H. Intelligent water drops algorithm: a new optimization method for solving the multiple knapsack problem. International Journal of Intelligent Computing and Cybernetics, 2008, 1(2): 193–212
|
28 |
Shah-Hosseini H. The intelligent water drops algorithm: a natureinspired swarmbased optimization algorithm. International Journal of Bio-Inspired Computation, 2009, 1(1/2): 71–79
|
29 |
Ye Z, Kolwalkar A, Zhang Y, Du P, Walling R. Evaluation of anti-islanding schemes based on nondetection zone concept. IEEE Transactions on Power Electronics, 2004, 19(5): 1171–1176
|
30 |
Hagan M T, Demuth H B, Beale M H. Neural Network Design. Boston: PWS Publishing, 1996
|
31 |
Parameswariah C, Cox M. Frequency characteristics of wavelets. IEEE Power Engineering Review, 2002, 22(1): 72–76
|
32 |
Reis A J R, Alves da Silva A P. Feature extraction via multiresolution analysis for short-term load forecasting. IEEE Transactions on Power Systems, 2005, 20(1): 189–198
|
33 |
Conejo A J, Plazas M A, Espinola R, Molina A B. Day-ahead electricity price forecasting using the wavelet transform and ARIMA models. IEEE Transactions on Power Systems, 2005, 20(2): 1035–1042
|
34 |
Chen S. Feature selection for identification and classification of power quality disturbances. IEEE Power Engineering Society General Meeting, 2005, 3: 2301–2306
|
35 |
Hashemi F, Ghadimi N, Sobhani B. Islanding detection for inverter-based DG coupled with using an adaptive neuro-fuzzy inference system. International Journal of Electrical Power and Energy Systems, 2013, 45(1): 443–455
|
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|
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