2010 International Conference on Communication Control and Computing Technologies 2010
DOI: 10.1109/icccct.2010.5670550
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Performance improvement of a photo voltaic array using MPPT (P&O) technique

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Cited by 17 publications
(7 citation statements)
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“…In the world of renewable energy, optimization algorithms for the MPPT problem are used to improve energy transformation. Among the most used algorithms, we find the P&O, which is used by many authors such as [13,[42][43][44]. Its simplicity and few code lines make it easy to deploy.…”
Section: Mppt Algorithms Based On Pandomentioning
confidence: 99%
“…In the world of renewable energy, optimization algorithms for the MPPT problem are used to improve energy transformation. Among the most used algorithms, we find the P&O, which is used by many authors such as [13,[42][43][44]. Its simplicity and few code lines make it easy to deploy.…”
Section: Mppt Algorithms Based On Pandomentioning
confidence: 99%
“…Figure 1 shows more detail on the operation of the conventional P&O algorithm. Based on the obtained information, P&O algorithm is able to predict when the operating voltage is approaching the V MPP by comparing the actual and the previous state of the power, P, and voltage, V. In short, the next perturbation to reach the MPP will be the same if there is an increment of P and vice versa [20], as shown concluded in Table 1. The process of perturbation and observation will be carried continuously until the systems reach the MPP.…”
Section: Perturb and Observe (Pando) Mppt 21 Conventional Pando Mpptmentioning
confidence: 99%
“…However, there is always a unique point on the V-I or V-P curve called the maximum power point (MPP). This point is not known on these characteristics, but it can be located by MPPT algorithms categorized generally as follows: Perturbation and Observation (P&O) algorithms [3]- [5], Incremental Conductance (InC) algorithm [6][7][8], Constant Current (CC) or Voltage (CV) algorithm [9]- [10] and other algorithms such as Fuzzy Logic (FL) algorithm [11]- [12], Artificial Neural Network (ANN) algorithm [13] and the Particle Swarm Optimization (PSO) algorithm [14][15]. These existing algorithms have several advantages and disadvantages concerned with simplicity, convergence speed, extra hardware and cost.…”
Section: Introductionmentioning
confidence: 99%