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Subject: Electrical Engineering × Author: Negi, Geeta × End date: 2009 × Start date: 2003 ×
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    ThesisItemOpen Access
    An ANN based approach for assessment and improvement in voltage stability of power systems
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2007-02) Negi, Geeta; Swami, A.K.
    Use of new technologies and the growth in interconnections are continuously increasing the complexity of the system. These highly complex modern power systems are operating in severely stressed conditions due to economical and environmental considerations rendering them venerable to frequent failures. Voltage stability has become a major concern as the present system is operating near its maximum capacity level. To get information regarding voltage stability margin and its improvement, various methods has been used in past. This work deals with L-index and VCPI techniques to calculate the stability margin and give information about the weak areas of the network. By using L-index the settings of control strategies can be known and by making proper changes in these values the operator of ECC can avoid the unwanted situations. ANN is an intelligent tool with parallel computational capability. It can perform nonlinear mapping in short duration. Once neural network is trained, it provides acceptable recommendations in a short time, which is suitable for online application. Here ANN is used to predict the values of L-index, VCPI, and control Quantities (generator excitation and settings of SVCs), which become helpful to the operator for handling the unfavorable conditions. These methods are applied on IEEE-9 bus and IEEE-14 bus system. An attempt is made to find best results that the voltage stability margin can be assessed and improved.