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NIPM-Based Optimal Power Flow Including Discrete Control Variables
로델 도사노(Rodel D. Dosano),송화창(Hwachang Song),김태균(Tae-Kyun Kim) 대한전기학회 2007 대한전기학회 학술대회 논문집 Vol.2007 No.11
This paper proposes Nonlinear Interior Point Method (NIPM) including discrete control variables optimal power flow formulations. The algorithm utilizes the robustness in terms of starting point and fast convergence for large scale power system of NIPM and an introduction of rounding penalty function which is augmented in the Lagrangian function to handle discrete control variables. The derived formulation shows a simplified approach to deal with discrete control problems which is implementable in real large scale systems.
Support Vector Machine (SVM) based Voltage Stability Classifier
로델 도사노(Rodel D. Dosano),송화창(Hwachang Song),이병준(Byongjun Lee) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.11
This paper proposes a support vector machine (SVM) based power system voltage stability classifier using local measurement data. The excellent performance of the SVM in the classification related to time-series prediction matches the real-time data of PMU for monitoring power system dynamics. The methodology for fast monitoring of the system is initiated locally which aims to leave sufficient time to perform immediate corrective actions to stop system degradation by the effect of major disturbances. This paper briefly describes the mathematical background of SVM, and explains the procedure for fast classification of voltage stability using the SVM algorithm. To illustrate the effectiveness of the classifier, this paper includes numerical examples with a 11-bus test system.