Electrical power projects: the role of risk management and reliability
The management of power outages caused by severe weather disasters such as earthquakes, tornadoes, and weather disturbances is critical in power transmission and distribution systems. The transmission system is the key to any power system and can trigger severe or significant effects if it fails. Di...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Mehran University of Engineering and Technology
2024-04-01
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| Series: | Mehran University Research Journal of Engineering and Technology |
| Online Access: | https://publications.muet.edu.pk/index.php/muetrj/article/view/3017 |
| _version_ | 1797209746304925696 |
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| author | Faraz Akbar Zia ur Rahman |
| author_facet | Faraz Akbar Zia ur Rahman |
| author_sort | Faraz Akbar |
| collection | DOAJ |
| description | The management of power outages caused by severe weather disasters such as earthquakes, tornadoes, and weather disturbances is critical in power transmission and distribution systems. The transmission system is the key to any power system and can trigger severe or significant effects if it fails. Different causes of fires, extreme weather conditions, ageing components, poor maintenance and malfunctions, human error, mal-operative procedures, and high operating network variables may cause transmission components to fail. System reliability is the probability that, despite component failures, a system remains available or functional. Risk management of the failures describes it. There are several methods to predict the failure rate, including exponential and Bayesian distributions. In this study, Poisson distribution forecasted the outage patterns for transmission and distribution networks for one and five years. A probability distribution function generated this pattern. Moreover, previous data were obtained from the National Electric Power Regulatory Authority (NEPRA). On comparing the acquired results with previous outage data, it was reported that the average outages in the transmission system were 567. The average outages in the distribution system stood at 37 for five years with a 100% confidence level. However, the probability of getting 620 transmission outages and 50 distribution outages was the highest in the probability distribution function for five years. Poisson distribution proved to be a useful tool to assess the transmission and distribution system reliability by estimating the failure rate over the years. It would allow the risk professionals to schedule, reduce, and track the systems’ risks. It would also help to improve the system’s reliability. |
| first_indexed | 2024-04-24T09:59:36Z |
| format | Article |
| id | doaj.art-425f3895fae44b5b9c53cbc4eabbfbad |
| institution | Directory Open Access Journal |
| issn | 0254-7821 2413-7219 |
| language | English |
| last_indexed | 2024-04-24T09:59:36Z |
| publishDate | 2024-04-01 |
| publisher | Mehran University of Engineering and Technology |
| record_format | Article |
| series | Mehran University Research Journal of Engineering and Technology |
| spelling | doaj.art-425f3895fae44b5b9c53cbc4eabbfbad2024-04-13T14:13:50ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192024-04-0143210311110.22581/muet1982.30173017Electrical power projects: the role of risk management and reliabilityFaraz AkbarZia ur Rahman0In-Charge Aircraft Ground Support Equipment (GSE) Maintenance, Munawala Ground Services, Abu Dhabi Airports, UAEThe management of power outages caused by severe weather disasters such as earthquakes, tornadoes, and weather disturbances is critical in power transmission and distribution systems. The transmission system is the key to any power system and can trigger severe or significant effects if it fails. Different causes of fires, extreme weather conditions, ageing components, poor maintenance and malfunctions, human error, mal-operative procedures, and high operating network variables may cause transmission components to fail. System reliability is the probability that, despite component failures, a system remains available or functional. Risk management of the failures describes it. There are several methods to predict the failure rate, including exponential and Bayesian distributions. In this study, Poisson distribution forecasted the outage patterns for transmission and distribution networks for one and five years. A probability distribution function generated this pattern. Moreover, previous data were obtained from the National Electric Power Regulatory Authority (NEPRA). On comparing the acquired results with previous outage data, it was reported that the average outages in the transmission system were 567. The average outages in the distribution system stood at 37 for five years with a 100% confidence level. However, the probability of getting 620 transmission outages and 50 distribution outages was the highest in the probability distribution function for five years. Poisson distribution proved to be a useful tool to assess the transmission and distribution system reliability by estimating the failure rate over the years. It would allow the risk professionals to schedule, reduce, and track the systems’ risks. It would also help to improve the system’s reliability.https://publications.muet.edu.pk/index.php/muetrj/article/view/3017 |
| spellingShingle | Faraz Akbar Zia ur Rahman Electrical power projects: the role of risk management and reliability Mehran University Research Journal of Engineering and Technology |
| title | Electrical power projects: the role of risk management and reliability |
| title_full | Electrical power projects: the role of risk management and reliability |
| title_fullStr | Electrical power projects: the role of risk management and reliability |
| title_full_unstemmed | Electrical power projects: the role of risk management and reliability |
| title_short | Electrical power projects: the role of risk management and reliability |
| title_sort | electrical power projects the role of risk management and reliability |
| url | https://publications.muet.edu.pk/index.php/muetrj/article/view/3017 |
| work_keys_str_mv | AT farazakbar electricalpowerprojectstheroleofriskmanagementandreliability AT ziaurrahman electricalpowerprojectstheroleofriskmanagementandreliability |