Jamal Nazem Razavi

  MA Dissertation Defense Meeting

  Abstract

  Available Transfer Capacity is defined as the capability of transmission systems to transfer the electrical power above the level which is already committed. By now, too many methods have been proposed to calculate the value of ATC and to model this variable in operation and planning phases, but in most of them, the effects of system uncertainties have been neglected. Power systems are stochastic in nature due to the uncertain operation of their components and participants. The uncertainties associated with hourly load fluctuations and equipment unavailabilities lead to the chronological variation of different variables and states in power systems in both operation and planning phases. Line flows, bus voltages, different prices and the other variables and indices like available transfer capacity are stochastic and cannot be expressed as a determined quantity. Besides, different market participants have different criteria and objectives. This leads to more uncertainties due to the uncertainties associated with their decisions. Different uncertainties are considered in this work, in order to calculate a more reliable value for ATC. This projects the effect of stochastic nature of power systems in the value of the available transfer capacity by the Monte Carlo simulation and Stochastic Algebraic also Hybrid of two methods are studied. Then we calculate Probabality Density Function of ATC and will illustrate model stochastic ATC for transmission expansion.

  Time of Defense: 8:30 AM

  Date of Defense: 1389.3.31

  Location: Seminar Hall of Faculty of Electrical