研究目的
To attain desired sinusoidal voltage waveshape at the common utility point, unity power factor operation, and reduction in harmonics using a swarm intelligent enhanced dual extended Kalman filter (DEKF) control technique for improving the performance of shunt active power filter (SAPF).
研究成果
The proposed DEKF-based control technique effectively improves power quality by maintaining the THD of source current much below 5%, satisfying the IEEE-519 standard. The system demonstrates superior performance under various conditions, including balanced and unbalanced supply, dynamic load, and varying solar irradiation. The experimental results confirm the viability of the proposed algorithm.
研究不足
The study focuses on harmonic distortion as a power quality problem and does not address other power quality issues. The experimental validation is performed on a scaled‐down laboratory prototype, which may not fully represent real-world conditions.
1：Experimental Design and Method Selection:
The methodology involves the use of a dual extended Kalman filter (DEKF) control technique for improving the performance of shunt active power filter (SAPF) integrated with a photovoltaic (PV) array. A single sensor‐based control is used to track the maximum power from the two‐stage PV array. Constriction factor‐based particle swarm optimization (PSO) is adopted for tuning the parameters of DEKF.
2：Sample Selection and Data Sources:
The system consists of a three‐phase grid supply, two‐stage PV integrated SAPF, coupling inductors, DC‐link capacitor, and a three‐phase nonlinear load. The PV array consists of a series‐parallel combination of PV modules.
3：List of Experimental Equipment and Materials:
The experimental setup includes a PV simulator SAS 12010, PM25RSB120 IGBT modules for SAPF, voltage sensors (LV25‐P), Hall‐effect current sensors (HE025T01), and a SPARTAN 6 field‐programmable‐gate‐array (FPGA) controller.
4：Experimental Procedures and Operational Workflow:
The proposed control algorithm is implemented using MATLAB/Simulink for simulation and validated experimentally under balanced and unbalanced supply, dynamic load, and varying irradiance conditions.
5：Data Analysis Methods:
The performance of the proposed control algorithm is compared with the Extended Kalman filter (EKF)‐based PV‐SAPF system. The effectiveness of the controller is verified through simulation and experimental results.
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