Kalman filter variant intelligent control for power quality improvement in photovoltaic active power filter system. (26th November 2019)

• Record Type: Journal Article
• Authors: Prince, Satyavarta Kumar; Panda, Kaibalya Prasad; Panda, Gayadhar
• Is Part Of: International transactions on electrical energy systems. Volume 30:Number 3(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-11-26
• Subjects: dual extended Kalman filter -- maximum power tracking -- particle swarm optimization -- power quality -- shunt active power filter -- solar photovoltaic; Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/2050-7038.12239
• Languages: English
• ISSNs: 2050-7038

Abstract

Summary: The increased usage of nonlinear loads in the distribution system network with deep integration of renewable energy sources imposes the need for advanced control to improve power quality. With the objective to attain desired sinusoidal voltage waveshape at the common utility point, unity power factor operation, and reduction in harmonics, a swarm intelligent enhanced dual extended Kalman filter (DEKF) control technique for improving the performance of shunt active power filter (SAPF) is proposed in this paper. A photovoltaic (PV) array is integrated at the DC‐bus which supplies the required load power thus reducing the grid power demand. A single sensor‐based control is used to track the maximum power from the two‐stage PV array. The enhancement of the SAPF performance requires proper tuning of parameters; constriction factor‐based particle swarm optimization (PSO) is adopted in this regard. The DEKF estimates both state and parameter from the nonlinear system for generating a reference signal. The performance of the proposed control algorithm is compared with the Extended Kalman filter (EKF)‐based PV‐SAPF system using MATLAB/Simulink. To verify the efficacy of the controller, an experimental PV‐SAPF prototype is developed in the laboratory and tested under balanced and unbalanced supply, dynamic load as well as varying irradiance conditions.