RESEARCH PAPER
Reactive energy compensator effect on the reliability of a complex electrical system using Bayesian networks
| 1 | Laboratoires des systèmes électromécaniques (LSELM), Université Badji Mokhtar, BP 12, Annaba, 23000, Algeria |
| 2 | Faculty of Sciences and Technologies, University of Souk Ahras, BP 1553, Souk Ahras 41000, Algeria |
| 3 | University of Science and Technology, BP 1505, El Mnaouar, 31000 Oran, Algeria |
Publication date: 2020-12-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(4):684–693
HIGHLIGHTS
- A Bayesian approach for the electrical system reliability assessment is proposed.
- An industrial application was carried out on a real case of a complex electrical system.
- The role of STATCOM in electrical System reliability assessment has been shown.
KEYWORDS
ABSTRACT
The static synchronous compensator is presented in order to improve an electrical network
system performance. The present work aims to develop a Bayesian methodology for assessing the time-variant reliability of a complex electrical system taking into account reactive
energy compensator (STATCOM). However, the complex aspect is not only related to the
complexity of electrical system components architecture, nevertheless is allied to electrical
network and STATCOM interactions. The Bayesian network is used for coping with this
complexity constraint. The reliability-based assessment of reactive energy compensator effect is applied to a real case of a complex electrical system. The proposed Bayesian methodology application reveals that the STATCOM has a significant influence on electrical system
reliability and the developed model can provide valuable information for decision makers to
improve the system reliability performance.
REFERENCES (51)
1.
Ait Mokhtar E, Chateauneuf A, Laggoune R. Bayesian approach for the reliability assessment of corroded interdependent pipe networks. International Journal of Pressure Vessels and Piping 2016; 14:46-58, https://doi.org/10.1016/j.ijpv....
2.
Arsoy A, Liu Y, Chen S, Yang Z, Crow M, Ribeiro P. Dynamic performance of a static synchronous compensator with energy storage," 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194), Columbus, OH, USA, 2001; 2: 605-610, https://doi.org/10.1109/PESW.2....
3.
Arulampalam A, Ekanayake J B, Jenkins N. Application study of a STATCOM with energy storage, in IEE Proceedings - Generation, Transmission and Distribution 2003;150:373-384, https://doi.org/10.1049/ip-gtd....
4.
Atwood CL, LaChance JL, Martz HF, Anderson DJ, Englehardt M, Whitehead D, Wheeler T. Handbook of Parameter Estimation for Probabilistic Risk Assessment. US Nuclear Regulatory Commission 2003 NUREG/CR-6823.
5.
Billinton R, Allan RN. Network modelling and evaluation of complex systems. In: Reliability Evaluation of Engineering Systems. Springer, Boston, MA 1992: 101-154, https://doi.org/10.1007/978-1-....
6.
Billinton R, Fellow, Wang P. Reliability-network-equivalent approach to distribution-system-reliability evaluation. IEE Proceedings-Generation, Transmission and Distribution 1998; 145 (2): 149-153, https://doi.org/10.1049/ip-gtd....
7.
Billinton R, Wang P. Teaching Distribution System Reliability Evaluation Using Monte Carlo Simulation. IEEE Transactions on Power Systems 1999; 14 (2): 397-403. doi:10.1109/59.761856. https://doi.org/10.1109/59.761....
8.
Cai B, Liu Y, Liu Z, Tian X, Dong X,Yu S. Using Bayesian networks in reliability evaluation for subsea blowout preventer control system. Reliability Engineering & System Safety 2012; 108: 32-41, https://doi.org/10.1016/j.ress....
9.
Darwiche A. Modeling and reasoning with Bayesian networks. New York: Cambridge University Press 2009, https://doi.org/10.1017/CBO978....
11.
Duan R, Lin Y, Zeng Y. Fault diagnosis for complex systems based on reliability analysis and sensors data considering epistemic uncertainty. Eksploatacja i Niezawodnosc-Maintenance and Reliability 2018; 20 (4): 558-566, https://doi.org/10.17531/ein.2....
12.
Electricity rates applicable to Customer in Algeria. Resource document. http://www.creg.gov.dz/index.p.... Accessed 12 June 2019.
13.
Farughian A, Kumpulainen L, Kauhaniemi K. Review of methodologies for earth fault indication and location in compensated and unearthed MV distribution networks. Electric Power Systems Research 2018; 154: 373-380, https://doi.org/10.1016/j.epsr....
14.
Fenton N, Neil M. Risk assessment and decision analysis with Bayesian networks. CRC Press Taylor & Francis Group 2012, https://doi.org/10.1201/b13102.
15.
Ferreira LA, Silva JL. Parameter estimation for Weibull distribution with right censored data using EM algorithm. Eksploatacja i Niezawodnosc- Maintenance and Reliability 2017; 19 (2): 310-315, https://doi.org/10.17531/ein.2....
16.
Gola A. Reliability analysis of reconfigurable manufacturing system structures using computer simulation methods. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2019; 21 (1): 90-102, https://doi.org/10.17531/ein.2....
17.
Guanglin C, Yong L, Jiajia H, Ya C, Bo H, Bo L . Reliability evaluation of medium voltage distribution network with private electric vehicle, International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Beijing 2016: 1-8, https://doi.org/10.1109/PMAPS.....
18.
Hanzelka Z, Szpyra W, Cziker A, Piątek K. Reactive power compensation. Electrical Energy Efficiency: Technology and Application 2012: 371-98, https://doi.org/10.1002/978111....
19.
Hayati H, Ahadi A, Aval SMM. New concept and procedure for reliability assessment of an IEC 61850 based substation and distribution automation considering secondary device faults. Frontiers in Energy 2015; 9:387-398, https://doi.org/10.1007/s11708....
20.
Huda ASN, Živanović R. Large-scale integration of distributed generation into distribution networks: Study objectives, review of models and computational tools. Renewable and Sustainable Energy Reviews 2017;76: 974-988, https://doi.org/10.1016/j.rser....
21.
Ibne Hossain N, Hosseini S, Jaradat R, Marufuzzaman M. A Framework for Modeling and Assessing System Resilience Using a Bayesian Network: A Case Study of An Interdependent Electrical Infrastructure System. International Journal of Critical Infrastructure Protection 2019; 25: 62-83, https://doi.org/10.1016/j.ijci....
22.
Jaynes ET. Probability theory: The logic of science. Cambridge: Cambridge University Press 2003, https://doi.org/10.1017/CBO978....
23.
Jovanovic S, Gajic B, Mijailovic S. Reactive power compensation and loss reduction in large industrial enterprises. International Journal of Electrical Power & Energy Systems 1991; 13:337-342, https://doi.org/10.1016/0142-0....
24.
Kelly DL, Smith CL. Bayesian inference in probabilistic risk assessment the current state of the art. Reliability Engineering and System Safety 2009; 94:628-643, https://doi.org/10.1016/j.ress....
25.
Khakzad N, Khan F, Amyotte P. Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network, Process Safety and Environmental Protection 2013;91:46-53, https://doi.org/10.1016/j.psep....
26.
Liu Q, Li Y, Hu S, Luo L. A controllable inductive power filtering system: modeling, analysis and control design. International Journal of Electrical Power & Energy Systems 2019; 105:717-728, https://doi.org/10.1016/j.ijep....
27.
Li YF, Mi J, Huang HZ, Xiao NC, Zhu SP. System reliability modeling and assessment for solar array drive assembly based on Bayesian networks. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2013; 15 (2): 117-122.
28.
Li S, Si S, Dui H, Cai Z, Sun S. A novel decision diagrams extension method. Reliability Engineering & System Safety 2014; 12 : 107-115, https://doi.org/10.1016/j.ress....
29.
Li XT, Taol LM, Jia M. A Bayesian networks approach for event tree time-dependency analysis on phased-mission system. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2015;17(2):273-281, https://doi.org/10.17531/ein.2....
30.
Li J, Wang Z, Ren Y, Yang D, LV X. A novel reliability estimation method of multi-state system based on structure learning algorithm. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2020; 22 (1): 170-178, https://doi.org/10.17531/ein.2....
31.
Masood B, Haider A, Baig S. Modeling and characterization of low voltage access network for narrowband power line communications. Journal of Electrical Engineering and Technology 2017; 12 (1): 443-450, https://doi.org/10.5370/JEET.2....
32.
Mi J, Li YF, Beer M, Broggi M, Cheng Y. Importance measure of probabilistic common cause failures under system hybrid uncertainty based on bayesian network. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2020; 22 (1): 112-120, https://doi.org/10.17531/ein.2....
33.
Mi J, Li Y, Huang HZ, Liu Y, Zhang XL. Reliability analysis of multi-state system with common cause failure based on bayesian networks. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2013; 15 (2): 169-175.
34.
Movahedi A , Niasar AH, Gharehpetian GB. Designing SSSC, TCSC, and STATCOM controllers using AVURPSO, GSA, and GA for transient stability improvement of a multi-machine power system with PV and wind farms. International Journal of Electrical Power & Energy Systems 2019; 106: 455-466, https://doi.org/10.1016/j.ijep....
35.
Ouyang M, Xu M, Zhang C, Huang S. Mitigating electric power system vulnerability to worst-case spatially localized attacks. Reliability Engineering & System Safety 2017; 165: 144-154, https://doi.org/10.1016/j.ress....
36.
Rausand M, Hoylanc A. System Reliability Theory Models, Statistical Methods, and Applications, Second Edition, A JOHN WILEY & SONS 396, 2003.
37.
Sahraoui Y, Chateauneuf A, Khelif R. Inspection and Maintenance Planning of Underground Pipelines Under the Combined Effect of Active Corrosion and Residual Stress. International Journal of Steel Structures 2017; 17(1): 165-174, https://doi.org/10.1007/s13296....
38.
Shrestha A, Xing L, Dai Y. Decision Diagram Based Methods and Complexity Analysis for Multi-State Systems. IEEE Transactions on Reliability 2010 : 59(1), 145-161, https://doi.org/10.1109/TR.200....
39.
Siirto O, Vepsäläinen J, Hämäläinen A, Loukkalahti M. Improving reliability by focusing on the quality and condition of medium-voltage cables and cable accessories, in CIRED - Open Access Proceedings Journal 2017; 2017(1):229-232, https://doi.org/10.1049/oap-ci....
40.
Singh B, Kumar R. A comprehensive survey on enhancement of system performances by using different types of FACTS controllers in power systems with static and realistic load models. Energy Reports 2020; 6 :55-79, https://doi.org/10.1016/j.egyr....
41.
Singh B, Saha R, Chandra A, Al-Haddad K. Static synchronous compensators (STATCOM). IET Power Electronics 2009, https://doi.org/10.1049/iet-pe....
42.
Skandarama K, Mala RC, Prabhu N. Control of Bifurcation ina VSC Based STATCOM. Procedia Technology 2015; 21:187 -195, https://doi.org/10.1016/j.prot....
43.
Summers-Smith JD. Fault diagnosis as an aid to process machine reliability. Quality and Reliability Engineering International 1989; 5:203-205, https://doi.org/10.1002/qre.46....
44.
Terruggia R, Bobbio A. QoS Analysis of Weighted Multi-state Probabilistic Networks via Decision Diagrams. In: Schoitsch E. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2010. Lecture Notes in Computer Science 2010; 6351. Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-....
45.
Topić D, Šljivac D, Stojkov M. Reliability model of different wind power plant configuration using sequential Monte Carlo simulation. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2016; 18(2): 237-244, https://doi.org/10.17531/ein.2....
46.
Villmeur A. Reliability, Availability, Maintainability, and Safety Assessment. Methods and Techniques, Wiley, New York 1992.
47.
Wang Z, Yin X, Chen Y, Lai J, Li L, Qi Z. DSTATCOM integrated with Y-y connection transformer for reactive power compensation. International Journal of Electrical Power & Energy Systems 2020; 117: 105721, https://doi.org/10.1016/j.ijep....
48.
Weber P, Medina-Oliva G, Simon C, Iung B. Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas. Engineering Application Artificial Intelligence 2012; 25: 671-682, https://doi.org/10.1016/j.enga....
49.
Zarghami M, Crow M. Damping inter-area oscillations in power systems by STATCOMs,40th North American Power Symposium, IEEE2008;1-6, https://doi.org/10.1109/NAPS.2....
50.
Zimann FJ, Batschauer AL, Mezaroba M, Neves FAS. Energy storage system control algorithm for voltage regulation with active and reactive power injection in low-voltage distribution network. Electric Power Systems Research 2019; 174: 105825, https://doi.org/10.1016/j.epsr....
51.
Zuboa RHA, Mokryani G, Rajamania HS, Aghaeib J, Niknamb T, Pillaia P. Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review. Renewable and Sustainable Energy Reviews 2017; 72:1177-1198, https://doi.org/10.1016/j.rser....
CITATIONS (3):
1.
A Review of Bayesian Networks Applications for Electrical Systems
Zerrouki Hamza
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)
Zerrouki Hamza
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)
2.
Analytical Method of Calculating Reliability Sensitivity for Space Capsule Life Support Systems
Emad Mutar, Bona Di
Mathematical Problems in Engineering
Emad Mutar, Bona Di
Mathematical Problems in Engineering
3.
Probabilistic graphical models in energy systems: A review
Tingting Li, Yang Zhao, Ke Yan, Kai Zhou, Chaobo Zhang, Xuejun Zhang
Building Simulation
Tingting Li, Yang Zhao, Ke Yan, Kai Zhou, Chaobo Zhang, Xuejun Zhang
Building Simulation
RELATED ARTICLE
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.