Research Article |
Risk Assessment of Radial Distribution Systems using Modified Jelly Fish Search Algorithm to analyse the Performance Indices
Author(s): K.C. Archana*, Y.V. Sivareddy and V. Sankar
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 12, Issue 2
Publisher : FOREX Publication
Published : 05 May 2024
e-ISSN : 2347-470X
Page(s) : 453-460
Abstract
One of the essential techniques for figuring out Power Distribution System performance is reliability evaluation. With time, the range of methods for assessing reliability has grown, and the distribution system's evolution has also become more intricate. The likelihood of a network failing grows with time once it begins to function, especially if it is used for an extended period. Reliability indices have been evaluated using different algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and various modified versions of algorithms. The Jelly Fish Search Algorithm has been used in various power system applications such as to determine the most cost-effective way to dispatch generating units' loads, integrate Distributed Generation (DG) units, track the maximum power of photovoltaic systems, and determine optimal power flow solutions, among other uses. The performance indices for the Radial Distribution System (RDS) have not been evaluated using JFSA.Variation of performance indices with respect to unavailability has not been discussed in the literature. Here an attempt is made to analyse the variation of the indices with the unavailability. The proposed algorithm is evaluated first on 3 load point radial distribution system and the computations are performed on the popular IEEE-RBTS Bus2 test system. Based on the output it is observed that for the both the systems the behaviour of the indices with respect to the unavailability is in similar fashion. The equations are derived for the performance indices using the Minitab. With the equations obtained the Performance indices values can be predicted for the given unavailability value. It is the better appropriate method for the assessing the performance indices of Radia Distribution System.
Keywords: Reliability assessment
, Failure rate
, Repair time
, JFSA
, Performance Indices
, Radial Distribution System (RDS)
.
K.C. Archana*, Research Scholar, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu; Email: archanatechno@gmail.com
Y.V. Sivareddy, G. Pulla Reddy Engineering College, Kurnool, Affiliated to Jawaharlal Nehru Technological University Anantapur, Ananthapuramu
V. Sankar, JNTUA College of Engineering, Ananthapuramu, Constituent college of Jawaharlal Nehru Technological University Anantapur, Ananthapuramu
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[1] G. T. Heydt and T. J. Graf, "Distribution System Reliability Evaluation Using Enhanced Samples in a Monte Carlo Approach," in IEEE Transactions on Power Systems, vol. 25, no. 4, pp. 2006-2008, Nov. 2010, doi: 10.1109/TPWRS.2010.2045929. [CrossRef]
-
[2] Arya L.D, Choube S.C, Arya, Rajesh & Tiwary, Aditya. (2012). “Evaluation of reliability indices accounting omission of random repair time for distribution systems using Monte Carlo simulation.” International Journal of Electrical Power & Energy Systems. 42. 533-541. 10.1016/j.ijepes.2012.04.064. [CrossRef]
-
[3] C. V. S. S. Sailaja, K. V. Ramanamurthy and P. V. N. Prasad, "Evaluation of reliability indices using FMEA technique," 2013 International Conference on Power, Energy and Control (ICPEC), Dindigul, India, 2013, pp. 554-557, doi: 10.1109/ICPEC.2013.6527719. [CrossRef]
-
[4] Song, Xiaogang, et al. "A stochastic approach for the reliability evaluation of multi-state systems with dependent components." Reliability Engineering & System Safety 170 (2018): 257-266. [CrossRef]
-
[5] Maher M.A, Al Maghalseh,” Evaluating the Reliability worth Indices of Electrical Medium Voltage Network: Case Study,” Procedia Computer Science, Volume 130,2018, Pages 744-752, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2018.04.129. [CrossRef]
-
[6] Ghiasi M., Ghadimi N. & Ahmadinia E. “An analytical methodology for reliability assessment and failure analysis in distributed power system.” SN Applied. Sciences(2019). 1:44https://doi.org/10.1007/s42452-018-0049-0. [CrossRef]
-
[7] Cruz L.M., Alvarez D.L., Al-Sumaiti A.S., Rivera S. “Load Curtailment Optimization Using the PSO Algorithm for Enhancing the Reliability of Distribution Networks.” Energies 2020, 13, 3236. https://doi.org/10.3390/en13123236. [CrossRef]
-
[8] N. N. R. B. Roslan, N. F. B. M. Fauzi and M. I. M. Ridzuan, "Sequential and Nonsequential Monte Carlo in Assessing Reliability Performance of Distribution Network," 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE), Bangladesh, 2020, pp. 1-6, doi: 10.1109/ETCCE51779.2020.9350906. [CrossRef]
-
[9] N F M Fauzi, N N R Roslan and M I M Ridzuan, “Low voltage reliability equivalent using monte-Carlo simulation technique.” IOP Conference Series: Materials Science and Engineering. 863(2020) 012042. Doi:10.1088/1757-899X/863/1/012042. [CrossRef]
-
[10] Hadi Suyono, Rini Nur Hasanah, Panca Mudjirahardjo, M Fauzan Edy Purnomo, Septi Uliyani, Ismail Musirin and Lilik J. Awalin. (2020). “Enhancement of the power system distribution reliability using ant colony optimization and simulated annealing methods”. Indonesian Journal of Electrical Engineering and Computer Science. Vol. 17, No. 2, February 2020, pp. 877-885. ISSN: 2502-4752, DOI: 10.11591/ijeecs.v17.i2. pp 877-885. [CrossRef]
-
[11] Hongtao Shan, Yuanyuan Sun, Wenjun Zhang, Aleksey Kudreyko and Lijia Ren “Reliability Analysis of Power Distribution Network Based on PSO-DBN”. IEEE Access. PP. 1-1. 10.1109/ACCESS.2020.3007776. [CrossRef]
-
[12] Shojaeian, Shahrokh and Rizi Sajjad Hashemi. "A Simple PSO-Based Method for Power Distribution System Components Reliability Parameters Calibration" Acta Marisiensis. Seria Technologica, vol.18, no.1, 2021, pp.40-46. https://doi.org/10.2478/amset-2021-0007. [CrossRef]
-
[13] Jian Fang, Hongbin Wang, Fan Yang, Kuang Yin, Xiang Lin & Min Zhang (2022) “A failure prediction method of power distribution network based on PSO and XGBoost”, Australian Journal of Electrical and Electronics Engineering, Vol.19, No 4, 371-378, DOI: 10.1080/1448837X.2022.2072447. [CrossRef]
-
[14] M. S. Alvarez-Alvarado et al., "Power System Reliability and Maintenance Evolution: A Critical Review and Future Perspectives," in IEEE Access, vol. 10, pp. 51922-51950, 2022, doi: 10.1109/ACCESS.2022.3172697. [CrossRef]
-
[15] Chou, Jui-Sheng, and Asmare Molla. "Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems." Scientific Reports 12.1 (2022): 19157. [CrossRef]
-
[16] Avishek Banerjee, Samiran Chattopadhyay, Mihai Gavrilas, Gheorghe Grigoras,” Optimization and estimation of reliability indices and cost of Power Distribution System of an urban area by a noble fuzzy-hybrid algorithm,” Applied Soft Computing, Volume 102,2021,107078, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2021.107078. [CrossRef]
-
[17] R. Billinton, R.N.Allan,I.Sjarief L.Goel, K.S.So , "A reliability test system for educational purposes-basic results," in IEEE Transactions on Power Systems, vol. 5, no. 1, pp. 319-325, Feb. 1990, doi: 10.1109/59.49123. [CrossRef]
-
[18] Roy Billinton & Ronald N. Allan, Reliability Evaluation of Engineering Systems (Concepts and Techniques, Plenum Press, New York, 1992.
-
[19] Roy Billinton and Ronald N. Allan, Reliability Evaluation of Power Systems, Plenum Press, New York and London, Second Edition.
-
[20] Roy Billinton and Ronald N. Allan, Reliability Evaluation of Power Systems, Plenum Press, New York and London, Second Edition.
-
[21] V. Sankar, System Reliability Concepts,2015,Himalaya Publishing House,ISO-9001:2003 Certified.