Abstract
Power swings are short frequency transients which occur in power system due to line faults and load fluctuations. In the presence of power swings, impedance calculated by distance relay fluctuates and has entry in any of its operating zones. To avoid mal-operation during such transient condition, relay manufactures provide inherent swing de-blocking function in digital relays. But during fault occurring in the presence of such power swings, relay is required to be immediately de-blocked. Hence, this paper introduces an advanced fast acting power swing and fault detecting algorithm for digital protection scheme based on discrete wavelet transform. The algorithm is advanced in the sense that it uses optimized threshold values for power swing and fault identification by application of Honey Bee Optimization Algorithm whose input is the wavelet energy of first and eighth decomposition level of voltage and current signal, respectively, for threshold calculation. A special type Battle Lemarie mother wavelet is carefully chosen due to its ability to speedily capture transient frequencies along with its location. The proposed advanced algorithm successfully detects swings generated due to all possible cases including fault occurrence in neighboring line, sudden rise in line load, change in rotor angle of two end generators and loss of generator. All types of faults with variable fault resistance and fault location and slow as well as fast swings are efficiently detected by the proposed advanced algorithm in minimum time of 1 ms. The results are tested on a typical 400 kV parallel transmission line power system network and verified using WSCC 3-machine, 9 bus system both developed in MATLAB environment.
Similar content being viewed by others
Abbreviations
- \({\Psi }_{j,k}(t)\) :
-
Wavelet function
- \({\Phi }_{j,k}(t)\) :
-
Scaling function
- \(Th1(opt)\) :
-
Optimized fault threshold
- \(Th2(opt)\) :
-
Optimized power swing threshold
- \({c}_{j}\left(n\right)\) :
-
Wavelet scaling coefficient
- \({d}_{j}\left(n\right)\) :
-
Wavelet detail coefficient
- \(h(n)\) :
-
High pass filter
- \(g(n)\) :
-
Low pass filter
- \(\Delta {E}_{n}\) :
-
Change in wavelet energy of nth level coefficient
- PSB:
-
Power swing blocking
- PSDB:
-
Power swing de-blocking
- DWT:
-
Discrete wavelet transform
- HBOA:
-
Honey Bee Optimization Algorithm
References
Alsyoufi YR, Hajjar AA (2019) A high-speed algorithm to discrimin4ate between power swing and faults in distance relays based on a fast wavelet. Electric Power Syst Res 172:269–276
Benmouyal G, Daqing H, Demetrios T (2004) Zero-setting power-swing blocking protection. In: 31st Annual western protective relay conference
Brahma SM (2007) Distance relay with out-of-step blocking function using wavelet transform. IEEE Trans Power Deliv 22(3):1360–1366
Cui Y, Kavasseri RG, Brahma SM (2016) Dynamic state estimation assisted out-of-step detection for generators using angular difference. IEEE Trans Power Deliv 32(3):1441–1449
Dubey R et al (2012) Wavelet based energy function for symmetrical fault detection during power swing. In: 2012 Students conference on engineering and systems. IEEE
Esmaeilian A, Sajjad A (2011) A novel power swing detection algorithm using adaptive neuro fuzzy technique. In: Proceedings of the 2011 international conference on electrical engineering and informatics, IEEE
Gautam S, Brahma SM (2012) Out-of-step blocking function in distance relay using mathematical morphology. IET Gener Transm Distrib 6(4):313–319
Hosseini SA et al (2021) Comprehensive power swing detection by current signal modeling and prediction using the GMDH method. Protect Control Modern Power Syst 6(1):1–11
Huang SJ et al (2013) Application of enhanced honey-bee mating optimization algorithm to fault section estimation in power systems. IEEE Trans Power Deliv 28(3):1944–1951
Kavousi A et al (2011) Application of the bee algorithm for selective harmonic elimination strategy in multilevel inverters. IEEE Trans Power Electron 27(4):1689–1696
Kumar J, Jena P (2019) Fault detection during asymmetrical power swing using superimposed negative sequence current. Arab J Sci Eng 44(8):7033–7046
Lin X, Gao Y, Liu P (2007) A novel scheme to identify symmetrical faults occurring during power swings. IEEE Trans Power Deliv 23(1):73–78
Lotfifard S, Faiz J, Kezunovic M (2009) Detection of symmetrical faults by distance relays during power swings. IEEE Trans Power Deliv 25(1):81–87
McDonald M, Demetrios T, Apostolov A (2005) Power swing and out-of-step considerations on transmission lines. IEEE PSRC WG D 6:2005
Moore PJ, Johns AT (1996) New method of power swing blocking for digital distance protection. IEE Proc Gener Transm Distrib 143(1):19–26
Munukutla NC, Venkata SKRG, Ramamoorty M (2019) Wavelet energy-based stable and unstable power swing detection scheme for distance relays. Turk J Electr Eng Comput Sci 27(4):2908–2921
Pang C, Kezunovic M (2010) Fast distance relay scheme for detecting symmetrical fault during power swing. IEEE Trans Power Deliv 25(4):2205–2212
Patel B, Bera P (2018) Detection of power swing and fault during power swing using Lissajous figure. IEEE Trans Power Deliv 33(6):3019–3027
Patel B, Bera P, Dey SHN (2020) Differential voltage-bas77ed fault detection during power swing. IET Gener Transm Distrib 14(1):157–165
Paudyal S, Ramakrishna G, Sachdev MS (2010) Application of equal area criterion conditions in the time domain for out-of-step protection. IEEE Trans Power Deliv 25(2):600–609
Phadke AG, Thorp JS (2008) Synchronized phasor measurements and their applications, vol 1. Springer, New York
Rao JG, Ashok KP (2012) Differential power-based symmetrical fault detection during power swing. IEEE Trans Power Deliv 27(3):1557–1564
Rao JG, Ashok KP (2014) Power-swing detection using moving window averaging of current signals. IEEE Trans Power Deliv 30(1):368–376
Sai Kumar MLS, Jitendra K, Mahanty RN (2020) Fault detection during power swing in a TCSC-compensated transmission line based on clark’s transform and Teager-Kaiser energy operator. Iran J Sci Technol Trans Electr Eng 45:1–14
Salehimehr S et al (2020) A new power swing detection method based on chaos theory. Electr Eng 102(2):663–681
Samantaray SR, Dubey RK, Chitti Babu B (2012) A novel time–frequency transform based spectral energy function for fault detection during power swing. Electric Power Comp Syst 40(8):881–897
Seethalekshmi K, Singh SN, Srivastava SC (2012) A classification approach using support vector machines to prevent distance relay maloperation under power swing and voltage instability. IEEE Trans Power Deliv 27(3):1124–1133
Seethalekshmi K, Singh SN, Srivastava SC (2010) SVM based power swing identification scheme for distance relays. In: IEEE PES general meeting, IEEE
Subramanian J et al (2019) Performance comparison of honey bee mating optimization algorithms for fuel cell operating parameters. In: 2019 Third international conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC), IEEE
Swetapadma A, Yadav A (2016) Data-mining-based fault during power swing identification in power transmission system. IET Sci Meas Technol 10(2):130–139
Taheri B, Sedighizadeh M (2020) Detection of power swing and prevention of mal-operation of distance relay using compressed sensing theory. IET Gener Transm Distrib 14(23):5558–5570
Taheri B et al (2020) Symmetrical fault detection during power swing using mean value of sampled data from the current signal. IETE J Res 2020:1–13
Tavakoli HB, Babak M, Soodabeh S (2012) Short-term hydrothermal scheduling via honey-bee mating optimization algorithm. In: 2012 Asia-Pacific power and energy engineering conference, IEEE
Tekdemir IG, Bora A (2016) A novel approach for improvement of power swing blocking and deblocking functions in distance relays. IEEE Trans Power Deliv 32(4):19486–1994
Yan J, Liu C-C, Vaidya U (2011) PMU-based monitoring of rotor angle dynamics. IEEE Trans Power Syst 26(4):2125–2133
Zadeh HK, Zuyi L (2008) A novel power swing blocking scheme using adaptive neuro-fuzzy inference system. Electr Power Syst Res 78(7):11738–1146
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Akolkar, S.M., Jariwala, H.R. An Advanced Transmission Line Protection Algorithm to Detect Power Swing and Fault Using Speedy Wavelet. Iran J Sci Technol Trans Electr Eng 46, 701–711 (2022). https://doi.org/10.1007/s40998-022-00508-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40998-022-00508-2