Abstract
Static voltage stability analysis is an essential requirement for highly stressed power system particularly when operated in restructured environment. In this paper, generator ranking has been done for voltage stability assessment. Singular value decomposition method is used for generator ranking from stability point of view. The reduced Jacobian matrix is required in SVD method. Therefore, the reduced Jacobian matrix is obtained using NR load flow method. The generator has been ranked using minimum singular value of reduced Jacobian matrix. After ranking, the generator optimization has been done to maximize the value of the SVD so that the system can become more stable. Exhaustive search method has been used for optimization. The voltage magnitude and transformer tap changer have been used as control variable for optimization. Because of the optimization, the active power losses have been reduced and the stability of the power system has been improved. The ranking obtained can be used to provide reactive power support during the highly stressed power system operating condition.
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Bhanushali, S.D., Suthar, B.N. (2020). Generator Ranking Based on Singular Value Decomposition for Voltage Stability Assessment. In: Mehta, A., Rawat, A., Chauhan, P. (eds) Advances in Electric Power and Energy Infrastructure. Lecture Notes in Electrical Engineering, vol 608. Springer, Singapore. https://doi.org/10.1007/978-981-15-0206-4_7
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DOI: https://doi.org/10.1007/978-981-15-0206-4_7
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