TY - JOUR
T1 - An improved hybrid PV‐wind power system with MPPT for water pumping applications
AU - Priyadarshi, Neeraj
AU - Padmanaban, Sanjeevikumar
AU - Bhaskar, Mahajan Sagar
AU - Blaabjerg, Frede
AU - Holm‐Nielsen, Jens Bo
PY - 2020/2/1
Y1 - 2020/2/1
N2 - This work articulates the hybrid photovoltaic‐wind power system development for water pump applications. The proposed control scheme is based on modified Artificial Bee Colony (ABC)‐based on Maximum Power Point Tracking (MPPT) algorithm.. On power circuit part, the single CUK converter‐fed induction motor driven a centrifugal pump and has been employed, which improves the system overall performance. The proposed MPPT control provides the smooth propagation of the motor operation as well as forces the photovoltaic system to operate always in maximum power point (MPP) region. Further, the modified ABC algorithm strengthens searching competency and has been employed for the achievement of local optimal maximum power point (MPP) under partial shade conditions with high accuracy and zero oscillation around MPP region when compared with other optimized algorithms. Particle swarm optimization‐space vector pulse‐width modulation (PSO‐SVPWM) was adapted for the inverter; control with standard v/f control is implemented in this work for better speed regulation and reduction in total harmonic distortion. Moreover, the power balance of the integrated hybrid system to the DC bus has been discussed with practicality. This article also explains the comparison of different MPPT algorithms and includes PSO, ant colony optimization, firefly algorithm, and ABC under fast‐changing environmental conditions. In the case of classical ABC method, only one scout bee is responsible to achieve the local maximum. The proposed modified ABC has been used to improve searching capacity, with the addition of scout bees. Experimental results are presented and reveal that the modified ABC algorithm performs 7.5 times faster than the standard PSO technique. Prototype model in hardware setup is developed with MATLAB/Simulink interfaced with dSPACE DS 1104.
AB - This work articulates the hybrid photovoltaic‐wind power system development for water pump applications. The proposed control scheme is based on modified Artificial Bee Colony (ABC)‐based on Maximum Power Point Tracking (MPPT) algorithm.. On power circuit part, the single CUK converter‐fed induction motor driven a centrifugal pump and has been employed, which improves the system overall performance. The proposed MPPT control provides the smooth propagation of the motor operation as well as forces the photovoltaic system to operate always in maximum power point (MPP) region. Further, the modified ABC algorithm strengthens searching competency and has been employed for the achievement of local optimal maximum power point (MPP) under partial shade conditions with high accuracy and zero oscillation around MPP region when compared with other optimized algorithms. Particle swarm optimization‐space vector pulse‐width modulation (PSO‐SVPWM) was adapted for the inverter; control with standard v/f control is implemented in this work for better speed regulation and reduction in total harmonic distortion. Moreover, the power balance of the integrated hybrid system to the DC bus has been discussed with practicality. This article also explains the comparison of different MPPT algorithms and includes PSO, ant colony optimization, firefly algorithm, and ABC under fast‐changing environmental conditions. In the case of classical ABC method, only one scout bee is responsible to achieve the local maximum. The proposed modified ABC has been used to improve searching capacity, with the addition of scout bees. Experimental results are presented and reveal that the modified ABC algorithm performs 7.5 times faster than the standard PSO technique. Prototype model in hardware setup is developed with MATLAB/Simulink interfaced with dSPACE DS 1104.
KW - Hybrid power systems
KW - Water pumps
KW - Maximum power point trackers
KW - Pulse width modulation
KW - Induction machinery
KW - Speed limits
KW - Centrifugal pumps
KW - Australian Broadcasting Corp.
KW - Board of Governors of the Federal Reserve System (U.S.)
KW - Microsoft PowerPoint (Computer software)
KW - artificial bee colony
KW - CUK converter
KW - inverter
KW - maximum power point tracking
KW - particle swarm optimization
KW - photovoltaic
KW - space vector pulse‐width modulation
KW - wind
U2 - 10.1002/2050-7038.12210
DO - 10.1002/2050-7038.12210
M3 - Journal article
SN - 1430-144X
VL - 30
JO - International Transactions on Electrical Energy Systems
JF - International Transactions on Electrical Energy Systems
IS - 2
M1 - e12210
ER -