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It has always been believed that power-flow analysis should precede any power system problem solution. Consequently, loading conditions are presumed to be the most critical for solving power system problems. This notion is investigated further in this paper by revisiting the problem of Static Var Compensators' (SVCs) placement in a power system network for reactive power augmentation from three perspectives:...
This paper demonstrates the relationship between generator affinity and voltage profile improvement. Circuit theory and the partitioned Y-admittance matrix were used to derive the generator affinity for power system networks. Results show that the lowest voltages occur at buses without generator affinity. Locating generators (pseudo generators) such that buses are within generators affinities significantly...
This paper demonstrates voltage profile improvement by partitioning the Y-admittance and the application of circuit theory on power system networks. The partitioned Y-admittance matrix and eigenvalue decomposition technique were used to identify the suitable locations for reactive power compensators. The proposed approach was applied to the 40-bus Southwest England network and the results were compared...
This paper seeks to identify and classify power system networks based on their inherent definitive structural property. The participation between the load buses is observable from the eigenvectors obtained from a Schur complement of the Y-admittance matrix. This is used to classify power system networks as either topologically strong or weak. Results show that in a topologically weak network, load...
A new approach for the identification of the best node for the injection of bulk power is proposed. The proposed approach can also be used to determine the minimum numbers of static var compensator devices that can ensure the operation of power system network within the specified voltage limits. The proposed approach is based on the inherent topology of networks and application of singular value decomposition...
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