Huda, A. S. NazmulHossain, Syed Sadman SafatChakma, PraneshKhan, Asif AhmedAnjum, Salman2020-02-022020-02-0220192019-12ID 16121026ID 16121076ID 16121117ID 16321073http://hdl.handle.net/10361/13699Cataloged from PDF version of thesis.Includes bibliographical references (pages 44-45).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2019.Generation system adequacy is employed to estimate the ability of the power system generation unit to fulfil the total system load. The assessment is conducted by calculating a common reliability index ‘Loss of Load Expectation (LOLE)’. The LOLE is a statistical measure of the the expected amount of energy not supplied due to a shortage of generation capacity under a probabilistic based scenario and is generally expressed in the number of hours or days. The main objective of the research work presented in this thesis is to apply the commonly used probabilistic techniques in LOLE estimation of Bangladesh power generating units. This work calculates and compares the LOLE estimation using two different techniques: analytical technique and non-sequential Monte Carlo simulation techniques. Both techniques have been tested on the Bangladesh power system consisting of sixty-one generation units. The models, methodologies, results and discussion presented in this thesis provide helpful information for power system planners for assessing the adequacy of electric power generation systems.45 pagesenBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Power systemGeneration system adequacyBangladesh power systemComparison.Thesis