International Journal of Energy and Power (IJEP) Volume 3 Issue 2, May 2014 www.ijep.org 13 Effect of Integrating PV Generation on the Load Carrying Capability of Bangladesh Power System Md. Khurram Monir Rabby *1 , Nahid‐Al‐Masood 2 , Muhammad Mobaidul Islam 3 , Nabeela Kauser Jeny 4 Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology, Dhaka‐1000, Bangladesh *1 khurram.rabby@gmail.com; 2 nahid@eee.buet.ac.bd Received 10 August 2013; Accepted 25 November 2013; Published 19 May 2014 © 2014 Science and Engineering Publishing Company Abstract The scarcity of traditional energy sources (i.e. oil, coal, natural gas etc.) lead to think of integrating the renewable energy sources in the power system network. Among all the renewable energy sources (i.e. wind, water, solar etc.), PV cell generators are considered as one of the most reliable ones due to handle the system load with reliably and less uncertainty. In this respect, an important reliability index of the system is the load carrying capability (LCC) to evaluate the impact of added PV cell generating unit for satisfying the system load growth. This paper presents an effective simulation method for the assessment of reliability index, load carrying capability (LCC) to measure the effect of additional PV cell power generator that is applied to Bangladesh Power System (BPS) by considering the uncertainty of different FORs and also its effect on system stability by calculating the loss of load probability (LOLP). For this reason, generator model and load model are used to analyse the relevant available generator data and load data of National Load Dispatch Centre (NLDC) of BPS for the year of 2012. In addition, availability of PV cells is calculated from its reliability model. BPS has eighty six generators and a total installed capacity of 6545 MW. The maximum demand of BPS is approximately 5700 MW. The analysis relevant data of the generators and hourly load profiles are collected from NLDC of Bangladesh and the reliability index LCC is calculated for the additional renewable power generation of 500 MW of different FORs. Furthermore, the effect of different uncertainty of the additional PV cells generation of 500 MW is analysed in the test simulated MATLAB environment that is depicted graphically. Finally, LOLP of different FORs is calculated and graphically shown the relation between percentage loading of added generator and LOLP with different uncertainty. Keywords Photovoltaic (PV); Installed Capacity (IC); Forced Outage Rate (FOR); Bangladesh Power System (BPS); Load Carrying Capability (LCC); Loss of Load Probability (LOLP); National Load Dispatch Centre (NLDC); Recursive Algorithm; Capacity Outage Probability Table (COPT) Introduction Under competitive electricity market environments, the design of composite power system stability and expansion planning is an important part of the overall planning task of electric power system. Successful generators and grid expansion planning come from reliability level/criteria decision. With the increase of human race power demand is also increasing. To meet the increase of additional demand in power sector, system planners are trying to increase the power generation from the traditional limited natural sources and renewable energy sources. Since the natural energy resources are limited, the system planners have to increase the generation by utilizing renewable energy sources as an alternative mean of power generation to keep the development upward. The capacity benefit of power generation from reliability view point is highly dependent on many factors, such as the wind as well as the correlation between wind speed and system load profiles [W. Wangdee and R. Billinton, Sep. 2006]. But wind energy is not same all over the world. For the generation reliability evaluation analysis purpose, different systematic methods such as the effective load carrying capability method [IEEE Task Force, May 2011] [L. L. Garver, Aug. 1966] [M. Milligan and K. Porter, Jun