This thesis aims to investigate the effects of Static VAr Compensator (SVC) on reliability evalution of power system. For this, first, a Markov reliability model for SVC is proposed. Next, nine important parameters which should be selected to build the appropriate reliability computation framework is presented. Building the appropriate framework using custom indices, the next part of thesis analyzes the impact of proposed Markov model on test systems. The results shows the effective role of SVC on reliability evalution of power system. However, it is possible to propose some new indices to better show the advantages of SVC in reliability. Thus, the next two sections propose two sets of indices based on multi-stage load shedding and expected violation, respectively. Unlike the second set of indices, the first is completely sensible for designers, instead, it has higher computation burden. Given the fact that, expected violation indices (EVI) are really faster than custom indices, it is possible to use them in optimization problems of power system. Thus, in the last section, EVI is used in reactive power planning (RPP) problem as an objective function. The results proves that EVI impressively improves the performance of RPP algorithm. Key Words Static VAr Compensator (SVC), Markov Model, HL2 Reliability Indices, Multi-stage Load shedding, Expected Violation Index (EVI), Expected Reactive Power Planning.
