Reactive Power Reallocation for Loss Minimization, Voltage Profile Improvement, and Voltage Stability Enhancement Using Moth Flame Algorithm
Authors: Prakash Budha, Nava Raj Karki

Abstract—The Reactive power allocation from the source and compensation is done in order to minimize the power loss, enhance the quality and security of the system. This paper presents the best combination of the reactive power reallocation from the source and the compensation is navigated using the moth flame optimization algorithm (MFO). The MFO is already proven completive, robust and superiority with well-known other Stochastic optimization method. The moth flame is newly developed nature inspired optimization techniques, which simulate the transverse orientation of the moth. In moth flame algorithm, moths search around the flame which is directed toward the best position from the worst as navigation goes on, which ensure the global minima. This is major advantage of using MFO algorithm. The control variables for this optimization problem are AVR of generator, tap setting of the transformer, and setting of compensation. The quality of the system is measure of the voltage deviation index and the security is referred to the voltage stability which is measured by the L- index. Result portrait the effectiveness and importance of the reactive power reallocate on the system real power loss, voltage profile and voltage    stability.

Keywords—optimization, Reactive power, stability

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Published In: International Conference on Role of Energy for Sustainable Social Development in ‘New Normal’ Era (RESSD-2020)
Date of Conference: 28th-29th December 2020                                
Conference Location: Kathmandu, Nepal
Publisher: IEEE Power and Energy Society Nepal Chapter

Cite the paper as:
P. Budha, N. R. Karki, “Reactive Power Reallocation for Loss Minimization, Voltage Profile Improvement, and Voltage Stability Enhancement Using Moth Flame Algorithm”, International Conference on Role of Energy for Sustainable Social Development in ‘New Normal’ Era, 28th-29th December 2020, Kathmandu, Nepal