Hybrid MPPT algorithm for PV systems under partially shaded conditions using a stochastic evolutionary search and a deterministic hill climbing
Journal Title: Power Electronics and Drives - Year 2017, Vol 2, Issue 2
Abstract
This paper proposes a hybrid maximum power point tracking method for the photovoltaic system using a stochastic evolutionary search and a deterministic hill climbing algorithm. The proposed approach employs the particle swarm optimizer (PSO) to solve a dynamic optimization problem related to the control task in a PV system. The position of the best particle is updated by the hill climbing algorithm, and the position of the rest of the particles by the classic PSO rule. The presented method uses the re-randomization mechanism, which places five consecutive particles randomly, but in specified intervals. This mechanism helps track the maximum power point under partially shaded conditions.
Authors and Affiliations
Karol Basiński, Bartłomiej Ufnalski, Lech Grzesiak
Keywords
Related Articles
- EP ID EP408008
- DOI -
- Views 64
- Downloads 0
POSITION TRACKING SYSTEMS FOR A.C. DRIVES EMPLOYING FORCED DYNAMICS CONTROL
Background The paper presents position tracking systems for a.c. drives offering high robustness to external disturbances. Two alternative position control loop designs both of which respect prescribed dynamics are devel...
COMPENSATION METHODS OF CURRENT AND SPEED SENSORS FAULTS FOR VECTOR CONTROLLED INDUCTION MOTOR DRIVE SYSTEM
Background: In the paper the chosen speed and current sensor faults detectors for vector controlled induction motor drive system are presented and described. Systems based on the artificial intelligence (neural network)...
APPLICATION OF INDUSTRIAL FREQUENCY CONVERTERS FOR PROJECT-ORIENTED EDUCATION OF CONTROLLED ELECTRICAL DRIVES
In the perspective of current trends in engineering education, aiming at meeting industry require-ments, especially in the field of power electronics and motion control, the article presents a way of teaching electric dr...
FINITE-ELEMENT ANALYSIS OF ACCIDENTAL ENERGIZING OF AN OFF-LINE TURBOGENERATOR
Background: Presented article shows the computation results of accidental off-line turbogenerator energizing. Inadvertent energizing of turbogenerator has been a particular issue in the power plant. The investigated case...
APPLICATION OF NEURAL NETWORKS TO DETECT ECCENTRICITY OF INDUCTION MOTORS
In the paper the possibility of using neural networks to detect eccentricity of induction motors is presented. A field-circuit model, which was used to generate a diagnostic pattern is discussed. The formulas on the char...