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Voltage Stability In Nigeria 330Kv Integrated 52 Bus Power Network Using Pattern Recognition Techniques: A Recursive Approach

Authors: Akwukwaegbu I O*, Nosiri O. C., Agubor C. N., Opara R.O., Olubuiwe M;

Voltage Stability In Nigeria 330Kv Integrated 52 Bus Power Network Using Pattern Recognition Techniques: A Recursive Approach

Abstract

Detecting the voltage instability in advance enables remedial actions and preventive measures to cushion the effect of the oncoming voltage collapse phenomenon in power systems. This was achieved by implementing Pattern Recognition Techniques (PRTs) in conjunction with Power System Simulator for Engineering (PSSE) program. It was then deployed in Nigeria 330KV Integrated 52 bus power system to actualize Regularized Least Squares Classification (RLSC) and Classification and Regression Trees (CART) heuristic methods. The methods were deployed for separating voltage stability and unstable cases that resulted under system contingencies and fault conditions. Dynamic simulation, system voltage stability and unstable/instability cases results, and the channel outputs of these voltage cases against time were realized.

Keywords

Voltage Instability and Stability, PSSE, 330kV Integrated 52 bus Power System, RLSC, and CART.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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