Determination of optimal control coefficients for Dynamic Voltage Restorer (DVR) based on Non-dominated Sorting Bird Swarm Algorithm (NSBSA)
الموضوعات : journal of Artificial Intelligence in Electrical EngineeringReza Ghanizadeh 1 , Hamed Azadrou 2
1 - Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran.
2 - Department of Electrical Engineering, Salmas Branch, Islamic Azad University, Salmas, Iran
الکلمات المفتاحية: Dynamic Voltage Restorer (DVR), Bird Swarm Algorithm (BSA), Non-dominated Sorting Genetic Algorithm (NSGA), Voltage Sag, Total Harmonic Distortion,
ملخص المقالة :
One of the useful solutions to improve power quality under fault conditions in power systems is the use of Dynamic Voltage Restorer (DVR), which has recently gained attention due to its high performance and easy implementation. The DVR structure uses a Proportional-Integral (PI) controller, which can help improve the performance of this device if optimally designed. In this paper, a novel hybrid optimization algorithm called Non-dominated Sorting Bird Swarm Algorithm (NSBSA) is proposed to determine the optimal control coefficients of the PI controller used in the DVR device. The optimization objectives are minimization of voltage sag and total harmonic distortion (THD) of the voltage signal. For simplicity of implementation, the objective function quantities are defined as fuzzy using fuzzy membership functions. Finally, by determining the optimal control coefficients of the DVR, the performance of this device is evaluated. Simulation results in MATLAB/Simulink environment show that the optimized controller designed using the proposed NSBSA algorithm is able to reduce the voltage sag and THD by about 15% and 13% respectively, compared to the best results reported in the literature.
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