• فهرس المقالات Loadability margin

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        1 - Using ANFIS as Indicator in the Networks Containing SVC and STATCOM for Voltage Collapse Phenomena
        نعمت طالبی منصور شیخان
        This paper focuses on using an ANFIS indicator for it’s proximity to collapse point with emphsizing on application of two Flexible AC Transmission System (FACTS) devices’ namely, Static Var Compensator (SVC) and Static Compensator (STATCOM), In order to stud أکثر
        This paper focuses on using an ANFIS indicator for it’s proximity to collapse point with emphsizing on application of two Flexible AC Transmission System (FACTS) devices’ namely, Static Var Compensator (SVC) and Static Compensator (STATCOM), In order to study the effects on voltage collapse phenomena in power systems. Based on system results at the point of collapse ‘Application of these devices loadability or increase could increase loadability margin to collapse point. Also,ANFIS as an indicator for proximity to collapse point has been applied succesfuly. The IEEE 14 bus test system is used to illustrate the effects of FACTS devices on voltage collapse phenomena and applying of ANFIS as an indicator for proximity index simulations. تفاصيل المقالة
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        2 - Optimal Placement of Static VAR Compensator to decrease Loadability Margin by a Novel Modified Particle Swarm Optimization Algorithm
        Maryam Falah nezhadnaeini Mohammad Hajivand Reihaneh Karimi Mohammad Karimi
        In this paper, the Static Var Compensator (SVC) has been used to improve dynamic behaviour of power system. To do this, a new objective function is formulated considering power loss reduction, voltage profile improvement and loadability margin decrease. Other contributi أکثر
        In this paper, the Static Var Compensator (SVC) has been used to improve dynamic behaviour of power system. To do this, a new objective function is formulated considering power loss reduction, voltage profile improvement and loadability margin decrease. Other contribution of this research is proposing a novel structure for Particle Swarm Optimization (PSO) algorithm through modifying theinitializationpattern of constantparameters. IEEE 33-bus test system has been simulated applying this method andby comparing the results with corresponding values of simple PSO algorithm,capability of the proposed algorithm is approved. Eight parameters are surveyed to have a thorough comparison which are number of SVC, injected reactive power, angle and magnitude of voltage, loadability, power loss, objective function and optimal location and size of SVC. تفاصيل المقالة