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Kalman filter variant intelligent control for power quality improvement in photovoltaic active power filter system
摘要： 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.
关键词： maximum power tracking,dual extended Kalman filter,particle swarm optimization,shunt active power filter,power quality,solar photovoltaic
更新于2025-09-11 14:15:04
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[IEEE 2018 37th Chinese Control Conference (CCC) - Wuhan (2018.7.25-2018.7.27)] 2018 37th Chinese Control Conference (CCC) - Maximum Power Tracking of Wireless Power Transmission Systems Based on Critical Coupling Point Tracking
摘要： Power transmission is one of the key issues in wireless power transmission (WPT) systems and the maximum power transmission problem is considered in this paper. A load power model for the magnetic resonant coupling WPT system with string-to-string structure is carried out at first. And then, using the power normalization method, the theoretical performance is analyzed and a special working point called critical coupling point (CCP) is found. At this point, the system can transfer the possible maximum power. Thus, maximum power tracking (MPT) problem can be transformed into the critical coupling point tracking (CCPT) problem. Further, relationship between CCP and load resistance is analyzed. To achieve the maximum transmission power under any load, a DC-DC impedance conversion circuit is added at the receiving side so that the maximum power can be tracked by adjusting the equivalent load resistance dynamically. Simulation results show the effectiveness of the proposed method.
关键词： maximum power tracking,critical coupling point,wireless power transmission
更新于2025-09-04 15:30:14