Stochastic Model for Preventing Blackouts: A Live Case
Pages 41 - 55
Abstract
Power system blackouts cause huge financial losses for the society and power utilities. Two types of blackouts have been identified. One involving load loss due to transmission lines reaching its limits and other involving failures of multiple transmission lines. Technologically advanced electricity transmission networks work in a financially just manner if a high rate of availability of the transmission networks is accomplished. Keeping this concept in mind, it is imperative to conduct the examination of transmission network availability, to design reliable electrical systems. This article discusses the stochastic availability modeling and analysis in transmission lines. The same is applied to a case of GED and the results obtained are discussed with the proper conclusion.
References
[1]
Aghamohammadi, M. R., & Salimian, M. R. 2017. A three stages decision tree based intelligent blackout predictor for power systems using brittleness indices. IEEE Transactions on Smart Grid.
[2]
Alsammarae, A. J. 1989. Modeling dependent failures for the availability of extra high voltage transmission lines. IEEE Transactions on Reliability, 382, 236-241.
[3]
Azavedo, G. 2017. South Goa legislators lose sleep over power cuts. Times of India, p. 4. Retrieved from https://timesofindia.indiatimes.com/city/goa/south-goa-legislators-lose-sleep-over-power-cuts/articleshow/58320965.cms
[4]
Bhagwat, A. P., & Tiwari, R. 2017. Renewable energy in India: Policies, trends and foreign direct investments in research and development. In lead market India pp. 213-238. New Delhi: Springer.
[5]
Carreras, B. A., Lynch, V. E., Dobson, I., & Newman, D. E. 2004. Complex dynamics of blackouts in power transmission systems. Chaos Woodbury, N.Y., 143, 643-652. 15446974.
[6]
Diamantidis, A., Koukoumialos, S., & Vidalis, M. 2017. Markovian analysis of a push-pull merge system with two suppliers, an intermediate buffer, and two retailers. International Journal of Operations Research and Information Systems, 82, 1-35.
[7]
Dubash, N. K., & Rajan, S. C. 2001. Power politics: Process of power sector reform in India. Economic and Political Weekly, 3367-3390.
[8]
Guerreiro, S. 2018. Using Markov theory to deliver informed decisions in partially observable business processes operation. International Journal of Operations Research and Information Systems, 92, 53-72.
[9]
Gupta, S., Kazi, F., Wagh, S., & Singh, N. 2018. Analysis and prediction of vulnerability in smart power transmission system: A geometrical approach. International Journal of Electrical Power & Energy Systems, 94, 77-87.
[10]
Hajeeh, M. 2011. Optimizing series repairable systems with imperfect repair. International Journal of Operations Research and Information Systems, 22, 92-102.
[11]
Hajeeh, M. A. 2014. Availability of large scale repairable systems with imperfect repair. International Journal of Operations Research and Information Systems, 54, 91-104.
[12]
Michael, S., Mariappan, V., Amonkar, U. J., & Telang, A. D. 2009. Availability analysis of transmission system using Markov model. International Journal of Indian Culture and Business Management, 25, 551-570.
[13]
Michael, S., Mariappan, V., & Kamat, V. 2011. Stochastic modelling of failure interaction: Markov model versus discrete event simulation. International Journal of Advanced Operations Management, 31, 1-18.
[14]
Mudakkar, S. R., Zaman, K., Khan, M. M., & Ahmad, M. 2013. Energy for economic growth, industrialization, environment and natural resources: Living with just enough. Renewable & Sustainable Energy Reviews, 25, 580-595.
[15]
Nedic, D. P., Dobson, I., Kirschen, D. S., Carreras, B. A., & Lynch, V. E. 2006. Criticality in a cascading failure blackout model. International Journal of Electrical Power & Energy Systems, 289, 627-633.
[16]
Pourbeik, P., Kundur, P. S., & Taylor, C. W. 2006. The anatomy of a power grid blackout-Root causes and dynamics of recent major blackouts. IEEE Power & Energy Magazine, 45, 22-29.
[17]
Ram, M., & Manglik, M. 2016. Reliability measures analysis of an industrial system under standby modes and catastrophic failure. International Journal of Operations Research and Information Systems, 73, 36-56.
[18]
Romero, J. J. 2012. Blackouts illuminate India's power problems. IEEE Spectrum, 4910, 1-2.
[19]
Sony, M., & Mekoth, N. 2014. The dimensions of frontline employee adaptability in power sector: A grounded theory approach. International Journal of Energy Sector, 82, 240-458.
[20]
Sony, M., & Mekoth, N. 2015. Fleadapt scale: A new tool to measure frontline employee adaptability in power sector. International Journal of Energy Sector Management, 94, 496-522.
[21]
Sony, M., & Mekoth, N. 2017. Workplace spirituality, frontline employee adaptability and job outcomes: An empirical study. International Journal of Process Management and Benchmarking, 74, 437-465.
[22]
Wijayatunga, P. D. C., & Jayalath, M. S. 2004. Assessment of economic impact of electricity supply interruptions in the Sri Lanka industrial sector. Energy Conversion and Management, 452, 235-247.
[23]
Xue, Y., & Xiao, S. 2013. Generalized congestion of power systems: Insights from the massive blackouts in India. Journal of Modern Power Systems and Clean Energy, 12, 91-100.
[24]
Yusheng, X. 2003. The way from a simple contingency to system-wide disaster-Lessons from the Eastern Interconnection Blackout in 2003. Dianli Xitong Zidonghua, 18.
Recommendations
Performance modeling and evaluation of IEEE 802.11 IBSS power save mode
The IEEE 802.11 standard defines a power management algorithm for wireless LAN. In the power management for Independent Basic Service Set (IBSS), time is divided into Beacon Intervals (BIs) and each BI is divided into an Announcement Traffic Indication ...
CSMA/CA through put analysis in hybrid CSMA/CA and TDMA networks
ICIIP '16: Proceedings of the 1st International Conference on Intelligent Information ProcessingRecently, Wi-Fi has become the mainstream technology to access the Internet. There are many researches applying Time Division Multiple Access (TDMA) to Wi-Fi network in order to provide better performance for different applications. As a result, Carrier ...
CCA-Embedded TDMA enabling acyclic traffic in industrial wireless sensor networks
A growing trend in the automation industry is to use wireless technologies to reduce cable costs and deployment time, unlock stranded information in deployed devices and enable wireless control applications. The WirelessHART protocol is the first open ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Publisher
IGI Global
United States
Publication History
Published: 01 January 2019
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 30 Dec 2024