Enhanced DVR Control System Based on the Harris Hawks Optimization Algorithm

Abstract

Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Nonlinear Control Method of Superconducting Energy Storage considering Voltage Imbalance in Distribution Network

“…where l is represents the proportional coefficient of the current inner loop and l ii represents the integral coefficient in the control process. e dual control of voltage outer loop and the current inner loop is a control structure often used in the grounding process of optical storage DC superconducting energy storage device [8]. In order to analyze the current change during the grounding of the superconducting energy storage device, set the equivalent gain of the three-phase rectifier bridge as G and the delay time of the superconducting energy storage device itself as τ; then, the current loop transfer function of the superconducting energy storage device can be expressed as…”

Dynamic Voltage Restorer as a Solution to Voltage Problems in Power Systems: Focus on Sags, Swells and Steady Fluctuations

“…To mitigate voltage swell and sag, Danalakshmi et al [66] studied the feasibilities of various PI and proportional resonant (PR) controllers for use in DVR control and assessed the performance of these controllers in detecting disturbances and injecting voltage to compensate for load voltages under these disturbances. Elkady et al [68] presented an enhanced, optimised and less complex PI controller, which was implemented in a dq synchronous rotating reference frame, for a DVR that can enhance transient, steady-state and dynamic responses of the DVR scheme and eliminate inherent transient oscillations. For a DVR employed to compensate for continuous voltage sag in a distribution system network supplying linear as well as non-linear loads, Reddy et al [70] proposed a control strategy using a PI-tuned fuzzy logic scheme that is cost-effective, validating the proposed control technique using MATLAB/Simulink software (https://www.mathworks.com/products/ simulink.html last accessed 3 October 2023) to demonstrate its working performance and improved performance over a conventional DVR control in an efficient manner.…”

“…Other research works have utilised metaheuristic algorithms to achieve optimisation objectives. To improve transient, steady-state and dynamic responses of a DVR, as well as to eliminate inherent transient oscillations in load voltage, Elkady et al [68] proposed a DVR PI controller that is implemented in a dq synchronous rotating reference frame and has parameters selected using a population-based optimisation technique called the Harris hawks optimisation (HHO) technique, and the system response results are compared to the PSO and whale optimisation algorithm (WOA). To control a DVR intended for mitigating different voltage sags in the supply voltage of a distribution system supplying linear and non-linear loads, Kassarwani et al [80] proposed a PI controller that utilises an SRF-theorybased control algorithm, an efficient improved particle swarm optimisation technique to optimise the gain parameters of the PI controller and integral squared error to assess the performance and suitability of the DVR, with extensive results showing that the proposed method outperforms conventional tuning methods, such as Ziegler-Nichols method and genetic algorithm (GA), for controller gain parameter optimisation.…”

Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications

“…6.10.9. DVR Control System ElKady et al [306] employed the HHO to develop an optimized, enhanced, and less complex Dynamic Voltage Restorer (DVR). The results are compared with PSO and WOA.…”