Volume 1, Issue 1, April 2013, Page: 29-34
An Effective Simulation Technique to Evaluate Loss of Load Expectation
Nahid-Al- Masood, Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
Md. Khurram Monir Rabby, Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
Mamun Rabbani, Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
Mafruha Ahmed, Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
Proteeti Peya, Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
Received: Apr. 9, 2013;       Published: Apr. 2, 2013
DOI: 10.11648/j.jeee.20130101.13      View  3337      Downloads  371
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.
Keywords
Installed Capacity, Recursive Method, Forced Outage Rate (FOR), Bangladesh Power System (BPS), Prob-ability Density Function (PDF), LOLE
To cite this article
Nahid-Al- Masood, Md. Khurram Monir Rabby, Mamun Rabbani, Mafruha Ahmed, Proteeti Peya, An Effective Simulation Technique to Evaluate Loss of Load Expectation, Journal of Electrical and Electronic Engineering. Vol. 1, No. 1, 2013, pp. 29-34. doi: 10.11648/j.jeee.20130101.13
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