Risk index of loss-of-load expectation is traditionally used to determine generation adequacy. However, be-cause responsibility of generation installation and demand increases with different entities, both generation and load need to be examined to evaluate the resource adequacy of today’s deregulated power systems. An electric utility’s main concern is to plan, design, operate and maintain its power supply to provide an acceptable level of reliability to its users. This clearly requires that standards of reliability be specified and used in all three sectors of the power system, i.e., generation, transmission and distribution. Reliability indices have been defined for the three sectors separately as well as for the bulk power system. Reliability criteria may be determined at the selected load points in the system for different combination of generators and transmission line failures. This paper presents an effective simulation method for the reliability assessment of reliability index, loss-of-load expectation (LOLE). This method is applied to Bangladesh Power System (BPS). BPS has a total installed capacity of around 6550 MW. The maximum demand of BPS is about 5700 MW. The relevant data of the generators and hourly load profiles are collected from the National Load Dispatch Center (NLDC) of Bangladesh and reliability index ‘LOLE’ is assessed for the last six years.
| Published in | Journal of Electrical and Electronic Engineering (Volume 1, Issue 1) |
| DOI | 10.11648/j.jeee.20130101.13 |
| Page(s) | 29-34 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2013. Published by Science Publishing Group |
Installed Capacity, Recursive Method, Forced Outage Rate (FOR), Bangladesh Power System (BPS), Prob-ability Density Function (PDF), LOLE
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APA Style
Nahid-Al- Masood, Md. Khurram Monir Rabby, Mamun Rabbani, Mafruha Ahmed, Proteeti Peya. (2013). An Effective Simulation Technique to Evaluate Loss of Load Expectation. Journal of Electrical and Electronic Engineering, 1(1), 29-34. https://doi.org/10.11648/j.jeee.20130101.13
ACS Style
Nahid-Al- Masood; Md. Khurram Monir Rabby; Mamun Rabbani; Mafruha Ahmed; Proteeti Peya. An Effective Simulation Technique to Evaluate Loss of Load Expectation. J. Electr. Electron. Eng. 2013, 1(1), 29-34. doi: 10.11648/j.jeee.20130101.13
AMA Style
Nahid-Al- Masood, Md. Khurram Monir Rabby, Mamun Rabbani, Mafruha Ahmed, Proteeti Peya. An Effective Simulation Technique to Evaluate Loss of Load Expectation. J Electr Electron Eng. 2013;1(1):29-34. doi: 10.11648/j.jeee.20130101.13
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Download@article{10.11648/j.jeee.20130101.13,
author = {Nahid-Al- Masood and Md. Khurram Monir Rabby and Mamun Rabbani and Mafruha Ahmed and Proteeti Peya},
title = {An Effective Simulation Technique to Evaluate Loss of Load Expectation},
journal = {Journal of Electrical and Electronic Engineering},
volume = {1},
number = {1},
pages = {29-34},
doi = {10.11648/j.jeee.20130101.13},
url = {https://doi.org/10.11648/j.jeee.20130101.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20130101.13},
abstract = {Risk index of loss-of-load expectation is traditionally used to determine generation adequacy. However, be-cause responsibility of generation installation and demand increases with different entities, both generation and load need to be examined to evaluate the resource adequacy of today’s deregulated power systems. An electric utility’s main concern is to plan, design, operate and maintain its power supply to provide an acceptable level of reliability to its users. This clearly requires that standards of reliability be specified and used in all three sectors of the power system, i.e., generation, transmission and distribution. Reliability indices have been defined for the three sectors separately as well as for the bulk power system. Reliability criteria may be determined at the selected load points in the system for different combination of generators and transmission line failures. This paper presents an effective simulation method for the reliability assessment of reliability index, loss-of-load expectation (LOLE). This method is applied to Bangladesh Power System (BPS). BPS has a total installed capacity of around 6550 MW. The maximum demand of BPS is about 5700 MW. The relevant data of the generators and hourly load profiles are collected from the National Load Dispatch Center (NLDC) of Bangladesh and reliability index ‘LOLE’ is assessed for the last six years.},
year = {2013}
}
TY - JOUR T1 - An Effective Simulation Technique to Evaluate Loss of Load Expectation AU - Nahid-Al- Masood AU - Md. Khurram Monir Rabby AU - Mamun Rabbani AU - Mafruha Ahmed AU - Proteeti Peya Y1 - 2013/04/02 PY - 2013 N1 - https://doi.org/10.11648/j.jeee.20130101.13 DO - 10.11648/j.jeee.20130101.13 T2 - Journal of Electrical and Electronic Engineering JF - Journal of Electrical and Electronic Engineering JO - Journal of Electrical and Electronic Engineering SP - 29 EP - 34 PB - Science Publishing Group SN - 2329-1605 UR - https://doi.org/10.11648/j.jeee.20130101.13 AB - Risk index of loss-of-load expectation is traditionally used to determine generation adequacy. However, be-cause responsibility of generation installation and demand increases with different entities, both generation and load need to be examined to evaluate the resource adequacy of today’s deregulated power systems. An electric utility’s main concern is to plan, design, operate and maintain its power supply to provide an acceptable level of reliability to its users. This clearly requires that standards of reliability be specified and used in all three sectors of the power system, i.e., generation, transmission and distribution. Reliability indices have been defined for the three sectors separately as well as for the bulk power system. Reliability criteria may be determined at the selected load points in the system for different combination of generators and transmission line failures. This paper presents an effective simulation method for the reliability assessment of reliability index, loss-of-load expectation (LOLE). This method is applied to Bangladesh Power System (BPS). BPS has a total installed capacity of around 6550 MW. The maximum demand of BPS is about 5700 MW. The relevant data of the generators and hourly load profiles are collected from the National Load Dispatch Center (NLDC) of Bangladesh and reliability index ‘LOLE’ is assessed for the last six years. VL - 1 IS - 1 ER -
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