Journal ArticleDOI
A Biological Swarm Chasing Algorithm for Tracking the PV Maximum Power Point
TLDR
In this article, a novel photovoltaic (PV) maximum power point tracking (MPPT) based on biological swarm chasing behavior is proposed to increase the MPPT performance for a module-integrated PV power system.Abstract:
In this paper, a novel photovoltaic (PV) maximum power point tracking (MPPT) based on biological swarm chasing behavior is proposed to increase the MPPT performance for a module-integrated PV power system. Each PV module is viewed as a particle, and as a result, the maximum power point is viewed as the moving target. Thus, every PV module can chase the maximum power point (MPP) automatically. A 525 W prototype constructed by three parallel-connected 175 W PV modules is implemented to assess the MPPT performance. Comparing with a typical perturb and observe (P & O) MPPT method, the MPPT efficiency ?MPPT is improved about 12.19% in transient state by the proposed MPPT as theoretical prediction.read more
Citations
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Journal ArticleDOI
A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems Operating Under Partially Shaded Conditions
TL;DR: In this article, a particle swarm optimization (PSO)-based MPPT algorithm for PGS operating under PSC is proposed, where the standard version of PSO is modified to meet the practical consideration of the P-V curve.
Journal ArticleDOI
General review and classification of different MPPT Techniques
TL;DR: In this paper, the concept of power tracking for PV systems is highlighted and an overview on 40 old and recent maximum power point tracking (MPPT) methods, available in the literature, is presented and classified.
Journal ArticleDOI
A Maximum Power Point Tracking Method Based on Perturb-and-Observe Combined With Particle Swarm Optimization
TL;DR: This paper proposes a hybrid method, which combines P&O and PSO methods, and the advantage of using the proposed hybrid method is that the search space for the PSO is reduced, and hence, the time that is required for convergence can be greatly improved.
Journal ArticleDOI
Maximum power point tracking control techniques: State-of-the-art in photovoltaic applications
TL;DR: In this article, a compendium of MPPT techniques for an appropriate selection, based on application requirements and system constraints, is presented and compared against each other in terms of some critical parameters like: number of variables used, complexity, accuracy, speed, hardware implementation, cost, tracking efficiency and so on.
Journal ArticleDOI
Evaluation of the “Hill Climbing” and the “Incremental Conductance” Maximum Power Point Trackers for Photovoltaic Power Systems
TL;DR: In this paper, the authors discuss the size of the perturbation of the operating conditions for both algorithms, based on the single-diode model, in order not to run away under certain dynamic conditions.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Journal ArticleDOI
Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques
Trishan Esram,Patrick L. Chapman +1 more
TL;DR: The many different techniques for maximum power point tracking of photovoltaic (PV) arrays are discussed in this paper, and at least 19 distinct methods have been introduced in the literature, with many variations on implementation.
Journal ArticleDOI
Optimization of perturb and observe maximum power point tracking method
TL;DR: In this article, the perturb and observe (PO) algorithm is used in photovoltaic (PV) systems to maximize the PV array output power by tracking continuously the maximum power point (MPP) which depends on panels temperature and on irradiance conditions.
Journal ArticleDOI
Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions
TL;DR: In this article, the authors developed an incremental conductance (IncCond) algorithm to track the maximum power operating point (MPOP) of photovoltaic (PV) power generation systems.
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