Optimization of Shortest Distance to Voltage Collapse by Corrective Rescheduling of Reactive Power Control Variables Employing Sine Cosine and Rao-1 Metaphor-less Algorithm
This paper presents a new viewpoint forvoltage stability enhancement by rescheduling reactivepower control variables by maximizing the shortestdistance to voltage collapse. The shortest distance tovoltage collapse represents a proximity indicator based onthe worst-case loading scenario. Such a loading scenariomay be of importance when the system is operating near tocollapse point. The objective is to maximize the loadabilityfrom the current operating point based on the worst-caseload scenario. The aim is to get an optimum set of reactivepower control variables that maximize the shortestdistance to voltage collapse. Thus it is max. (min.)problem. The max. (min.) problem incorporates theoperating constraints. An algorithm has been presented tosolve the formulated problem using the Rao-1 algorithm,and results have been validated using Sine Cosinealgorithms. Results have been presented for IEEE 6-busand 25-bus standard test systems.
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