Enhancement of dynamic stability by optimal location and capacity of UPFC: A hybrid approach

B. Vijay Kumar and V. Ramaiah

Energy, 2020, vol. 190, issue C

Abstract: In the paper, the modified salp swarm optimization algorithm (MSSA) and moth-flame optimization algorithm (MFO) based optimal location and capacity of Unified Power Flow Controller (UPFC) to improve the dynamic stability of the power system is proposed. The novelty of the proposed method is exemplified in the improved searching ability, random reduction and reduced complexity. Here, the MSSA is used to optimize the location of the UPFC while the generator fault occurs. The MSSA selects the maximum power loss line as the optimum location to place UPFC as per the objective function, since the generator fault violates the system equality and inequality constraints from the secure limit. From the UPFC control parameters, the minimum voltage deviation is optimized using the MFO algorithm. The minimum voltage deviation has been used to find the optimum capacity of the UPFC. Then the optimum UPFC capacity is applied in the optimum location, which enhances the dynamic stability of the system. The proposed method is implemented in the MATLAB/Simulink platform and the performance is evaluated by means of comparison with the different techniques like GSA-BAT, MFO-FF, SSO-FF, BAT-FF and CS-FF algorithms. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem.

Keywords: Modified salp swarm optimization algorithm (MSSA); Moth-flame optimization algorithm (MFO); Power loss; Voltage; Optimal location; UPFC capacity (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:190:y:2020:i:c:s0360544219321590

DOI: 10.1016/j.energy.2019.116464

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