Compensation of voltage sag and voltage interruption using DVR‐PV based on fuzzy‐adaptive controller

Abstract

Summary Dynamic voltage restorer (DVR) can preserve a sensitive load against electrical distribution system interruption. After connecting DVR to the system, voltage sag is quickly resolved and no voltage oscillation caused by malfunction of sensitive loads occur. When there is a high voltage sag in distribution or transmission, in order to compensate voltage to the value before fault, both reactive compensation and active power compensation should be performed which requires a DC source in DC link of power quality compensators; if there is only one capacitor in DC link, only reactive power compensation can be performed, as a result significant voltage drops cannot be modified. Distributed generation sources like photovoltaic (PV) can be used as a battery instead of DC link supply of D‐FACTS devices due to DC nature of their output voltage. Performance of DVR in modifying power quality indices depends on performance of its control system. In this paper, a fuzzy adaptive controller is used instead of the conventional PI controller in the control system of the DVR‐PV hybrid compensator to improve its performance in compensating voltage interruption and different types of voltage sag. DVR based on fuzzy controller performs better than DVR based on other controllers like PI. Simulation of electrical distribution system is done in the presence of DVR based on fuzzy‐adaptive control scheme and PV using Matlab/Simulink.

Performance evaluation of GRNN and ANFIS controlled DVR using machine learning in distribution network

“…The accuracy of the results is confirmed by employing performance index MSE and RMSE that examine the voltage deviation concerning reference value. The data normalization is made for simplifying the calculation in the interval [0, 1] by utilizing Equation (13).…”

“…Gradient descent and backpropagation are traditional input–output mapping control methods that have the disadvantages of slow convergence and the potential to fall into local optima 12 . Reference 13 has explained the advantages of a fuzzy adaptive controller over the conventional PI controller in the PV‐based DVR hybrid compensator. In Reference 14, authors have discussed the wind speed prediction to generate the power based on the wind by employing the GRNN model trained by intelligent tabu search.…”

Enhancing voltage regulation using 5‐level TCHB based DVR in radial secondary distribution feeder system

“…Many research articles [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] proposed different solutions for mitigation of voltage quality issues in the distribution system. Graph theory-based voltage sag mitigation is carried out in Majumder et al, 1 utilizing DVR in the radial distribution network.…”

“…Gradient adaptive variable step LMS control algorithm is proposed in Appala Naidu et al 18 for DVR to mitigate voltage‐related PQ issues. A fuzzy adaptive controller based PV‐DVR is used in Karimi et al 19 to mitigate voltage‐related PQ issues. Paper 20 presents T‐type MLI based transformer less DVR with reduced switch count for medium voltage distribution system.…”

Voltage sag compensation of radial feeders of distribution system by using interline bridge‐type fault current limiter (IBFCL)

“…In References 24,25, the capacitive BFCL is used to reduce voltage sag to improve the low‐voltage ride‐through performance of wind power plants. In Reference 26, a dynamic voltage restorer (DVR) with a photovoltaic (PV) system in DC link is used to protect the sensitive load against voltage sag. In Reference 27, the application of DVR and SFCL has been proposed to enhance the voltage quality in distribution system.…”