Open Access   Article Go Back

Composite Power System Reliability Evaluation Based on Efficient State Search Using Binary Grasshopper Optimisation Algorithm

K.Jayanthi 1 , R. Ashok Bakkiyaraj2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-04 , Page no. 62-66, Feb-2019

Online published on Feb 28, 2019

Copyright © K.Jayanthi, R. Ashok Bakkiyaraj . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: K.Jayanthi, R. Ashok Bakkiyaraj, “Composite Power System Reliability Evaluation Based on Efficient State Search Using Binary Grasshopper Optimisation Algorithm,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.62-66, 2019.

MLA Style Citation: K.Jayanthi, R. Ashok Bakkiyaraj "Composite Power System Reliability Evaluation Based on Efficient State Search Using Binary Grasshopper Optimisation Algorithm." International Journal of Computer Sciences and Engineering 07.04 (2019): 62-66.

APA Style Citation: K.Jayanthi, R. Ashok Bakkiyaraj, (2019). Composite Power System Reliability Evaluation Based on Efficient State Search Using Binary Grasshopper Optimisation Algorithm. International Journal of Computer Sciences and Engineering, 07(04), 62-66.

BibTex Style Citation:
@article{Bakkiyaraj_2019,
author = {K.Jayanthi, R. Ashok Bakkiyaraj},
title = {Composite Power System Reliability Evaluation Based on Efficient State Search Using Binary Grasshopper Optimisation Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {07},
Issue = {04},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {62-66},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=722},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=722
TI - Composite Power System Reliability Evaluation Based on Efficient State Search Using Binary Grasshopper Optimisation Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - K.Jayanthi, R. Ashok Bakkiyaraj
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 62-66
IS - 04
VL - 07
SN - 2347-2693
ER -

           

Abstract

Reliability is a vital aspect for the safe operation of any modern technological system. This work presents a methodology for evaluating the reliability of a composite power system with Binary Grasshopper Optimisation (BGHO) algorithm in its search mechanism to select the dominant states of the system which have large existing probability and higher load curtailment. A Grasshopper of a BGHO algorithm represents the possible system state. BGHO is used for efficient exploration of system states in the problem space by generating different potential solution to achieve optimal objective. The examined system states are used to evaluate annualized system and load point reliability indices. The proposed search methodology is applied to IEEE-RTS test system and the results are compared with state of art approaches. This proposed methodology evaluates the indices similar to the existing benchmark methods while visiting less number of system states.

Key-Words / Index Term

Power System Reliability Evaluation; Reliability indices; Binary Grasshopper Optimisation Algorithm

References

[1] Pereira MVF, Pinto LMVG, Cunha SHF, Oliveira GC, Monte Carlo based Composite Reliability Evaluation – Modeling Aspect and Computational Results. IEEE tutorial course on Reliability assessment of composite generation and transmission systems. IEEE special publication, 1989.
[2] Pereira MVF, Balu NJ, Composite generation/transmission reliability evaluation. Proceedings of the IEEE 80:470, 1992.
[3] Chanan singh, Linghfeng Wang (2008) Role of artificial intelligence in the reliability evaluation of electric power systems. Turkish Journal of Electrical Engineering & Computer Sciences 16(3):189, 2008.
[4] Samaan N, Singh C, Adequacy assessment of power system generation Using a modified simple genetic algorithm. IEEE Transactions on Power Systems 17:974, 2002.
[5] Mohammed Benidris, Salem Elsaiah and Joydeep Mitra, Power System Reliability Evaluation using a State Space Classification Technique and Particle Swarm Optimisation Search Method, IET Generation, Transmission and Distribution, Vol 9, No 14, pp 1865–1873, Nov 2015.
[6] Green, R. C., Wang, L., Alam, M., Singh, C.: ‘An Examination of Ar- tificial Immune System Optimization in Intelligent State Space Pruning for LOLP Estimation’. Proc. North American Power Symposium, pp. 1-7, 2011.
[7] Green, R. C., Wang, L., Wang, Z., Alam, M., Singh, C.: ‘Power System Reliability Assessment Using Intelligent State Space Pruning Techniques: A Comparative Study’. Proc. IEEE International Conference on Power System Technology, pp. 1–8, 2010.
[8] Miranda V, de Magalhaes Carvalho L, da Rosa MA, da Silva AML, Singh C, Improving Power System Reliability Calculation Efficiency With EPSO Variants. IEEE Transactions on Power Systems 24:1772 , 2009.
[9] R.Ashok Bakkiyaraj and N.Kumarappan, Differential Evolution Based Intelligent System State Search Method for Composite Power System Reliability Evaluation, Journal of the Institution of Engineers (India): Series B, Springer, Vol. 96, pp.237–244, 2015.
[10] Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis, ‘‘Grasshopper Optimisation Algorithm: Theory and application,’’ Advances in Engineering Software, pp. 30–47, 2017.
[11] Majdi Mafarja et.al, Binary grasshopper optimisation algorithm approaches for feature selection problems, Expert Systems With Applications, Vol. 117, pp. 267–286, 2019.
[12] Billinton R, Kumar S, Chowdhury N, Chu K, Debnath K, Goel L, et al, A reliability test system for educational purposes-basic data. IEEE Transactions on Power Systems 14: 1238, 1989.
[13] IEEE Committee Report, IEEE Reliability Test System. IEEE transactions on Power apparatus and systems 98:2047, 1979.
[14] Billinton R, Wenyuan L, Hybrid approach for reliability evaluation of composite generation and transmission systems using Monte-Carlo simulation and enumeration technique. IEE proceedings-C on Generation, Transmission and Distribution 138: 233, 1991.
[15] Jonnavithula A, Composite System reliability evaluation using sequential Monte Carlo simulation. Ph.D. Thesis. University of Saskatchewan. Canada,1997.