Biogeography based optimization strategy for UPQC PI tuning on full order adaptive observer based control

Abstract

Adaptive full order observer based control algorithm for unified power quality conditioner is presented. The full order adaptive observer based algorithm is capable of estimating fundamental positive sequence components parameters, including frequency, amplitude, and phase form power supply systems. Due to its adaptive response, monitoring accuracy, and faster detection of fundamental positive sequence components under all different loads and grid conditions, it is used for power quality improvement. In addition to full order adaptive observer based control algorithm, a biogeography-based optimization method is employed here for tuning the K p and K i gains of a proportional integral controller on unified power quality conditioner system. The proposed method minimizes the dc-link voltage oscillations and enhances its step response by optimally tuning the proportional integral controller. This is done by reducing the objective function of the integral time absolute error for different power quality perturbations. The numerical values obtained by biogeography based optimization are selected as proportional integral gains and it also improves the controller's performance. The full order adaptive observer control integrated with biogeography based optimization algorithm is tested interface with MATLAB/Simulink on developed unified power quality conditioner under different power quality problems at different intervals. The performance results demonstrate the quick convergence rate with effective performance.

ABC-WOA Optimization Strategy for UPQC Fuzzy PI Tuning

“…The complete order adaptive observer technique block diagram is presents in Fig. 2(a) in [15] & Fig. 2(b) in [15] shows the control scheme Here, the suggested complete order adaptive observer technique is employed to comprehensively illustrate the creation of reference signals for both Active Power Filters (APFs).…”

“…2(a) in [15] & Fig. 2(b) in [15] shows the control scheme Here, the suggested complete order adaptive observer technique is employed to comprehensively illustrate the creation of reference signals for both Active Power Filters (APFs). The switching sequences are obtained through a comparison between the actual utility load voltage and the reference load voltage within the Sinusoidal Pulse Width Modulation (SPWM) controller.…”

“…Second-order generalized integrator-based PLL (SOGI-PLL) is a commonly used PLL due to its straightforward structure, specific filtering capability, and frequency adaptability in [13]. A adaptive full order observer control system, which is based on observer theory and adaptive theory, is to precisely estimate the unknown supply voltage characteristics algorithm is based on adaptive full order observers is described in [14,15]. The operating principle and control strategy based on the dq0 transform are discussed in [16].…”

BEVGGC: Biogeography-Based Optimization Expert-VGG for Diagnosis COVID-19 via Chest X-ray Images

“…HSI is used to measure a habitat that is suitable for species. The value of this variable can be obtained by calculating the SIV using the objective function [17]. This variable is used to measure the suitability of a set of solutions in the problem to be optimized.…”

Optimal Design and Performance Investigation of Artificial Neural Network Controller for Solar- and Battery-Connected Unified Power Quality Conditioner

“…A novel technique was designed to UPQC for rapid response in fault identification with high accuracy. Additionally, a BBO algorithm was chosen to tune the Kp and Ki values of PI-C optimally with a goal of stabilizing the DC link oscillations [19]. UPQC was selected to reduce the voltage distortions and harmonics in current waveforms by adaptive neurofuzzy hybrid controller in addition to the improvement in the utilization of network [20].…”