Optimization of Shortest Distance to Voltage Collapse by Corrective Rescheduling of Reactive Power Control Variables Employing Sine Cosine and Rao-1 Metaphor-less Algorithm

**Citation**

**MLA Style: **Ashish Kumar Upadhyay, Dr. S.C. Choube "Optimization of Shortest Distance to Voltage Collapse by Corrective Rescheduling of Reactive Power Control Variables Employing Sine Cosine and Rao-1 Metaphor-less Algorithm" International Journal of Engineering Trends and Technology 68.10(2020):87-92.

**APA Style:**Ashish Kumar Upadhyay, Dr. S.C. Choube. Optimization of Shortest Distance to Voltage Collapse by Corrective Rescheduling of Reactive Power Control Variables Employing Sine Cosine and Rao-1 Metaphor-less Algorithm International Journal of Engineering Trends and Technology, 68(10),87-92.

**Abstract**

This paper presents a new viewpoint for voltage stability enhancement by rescheduling reactive power control variables by maximizing the shortest distance to voltage collapse. The shortest distance to voltage collapse represents a proximity indicator based on the worst-case loading scenario. Such a loading scenario may be of importance when the system is operating near to collapse point. The objective is to maximize the loadability from the current operating point based on the worst-case load scenario. The aim is to get an optimum set of reactive power control variables that maximize the shortest distance to voltage collapse. Thus it is max. (min.) problem. The max. (min.) problem incorporates the operating constraints. An algorithm has been presented to solve the formulated problem using the Rao-1 algorithm, and results have been validated using Sine Cosine algorithms. Results have been presented for IEEE 6-bus and 25-bus standard test systems.

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**Keywords**

Voltage collapse, Voltage stability, Optimization, Sine Cosine algorithm, Rao-1 algorithm.