Reliability assessment of Bangladesh power system using segmentation method

The probabilistic reliability assessment of large power systems is a very complicated and computation intensive task. So the standards of reliability be specified and used in all three sectors of the power system, i.e. generation, transmission and distribution. Since the forced outage rates (FOR) of generating plants is actually uncertain, security and reliability are two important challenges in modern power networks. That is why the reliability of a power system is always a major concern to power system planners. Because of different loss of load probability in different buses, it is necessary to change the prices of customers pay considering their loss of load probability (LOLP). This paper presents an effective simulation method for the reliability assessment of reliability index, LOLP by using segmentation method. This method is applied to Bangladesh power system (BPS) by considering uncertainties of generation. The segmentation method is used because of its computational efficiency. BPS has a total installed capacity of about 6545 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 the reliability index `LOLP' is assessed for the last six years (2007-2012).