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Proceedings ArticleDOI

Implementation of Enhanced Global Search Particle Swarm Optimization Algorithm for Photovoltaic Systems

TL;DR: An Inertia Modified Particle Swarm Optimization (IM-PSO) algorithm for photovoltaic power extraction is presented that helps to keep track of the maximum power point in lesser effort thereby ensuring proper maximum power.
Abstract: Solar Power is the potential alternative to other sources of energy due to its pure and readily available nature. Solar power wattage is not always wonted or constant. It is due to its unaccustomed multi-peak power voltage characteristics exhibited by a variable swing in environmental conditions and shading effects. Swarm Intelligence has been playing a vital role in optimization problem owing to its intelligibility and directness. This article presents an Inertia Modified Particle Swarm Optimization (IM-PSO) algorithm for photovoltaic power extraction. The proposed method helps to keep track of the maximum power point in lesser effort thereby ensuring proper maximum power. The algorithm is modeled and simulated in MATLAB/SIMULINK environment. The results prove it especial to other traditional techniques.
Citations
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Proceedings ArticleDOI
14 Jun 2020
TL;DR: In this article, a modified PSO algorithm with dynamically reduced boundary (PSO-RB) was proposed for the search space of the particles, which showed that the global maxima search time can be significantly improved while maintaining the accuracy.
Abstract: Multiple Local Maximums (LM) and one Global Maximum (GM) can be present on the Power-Voltage (P-V) output curve during partial shading conditions of a Photovoltaic system. Particle Swarm Optimization (PSO) can consistently find the GM 100% of the time when the swarm size is large enough but the time to find the GM also increases as the swarm size increases - thus reducing the speed of tracking. In this work, we present the performance results of a modified PSO algorithm with dynamically reduced boundary (PSO-RB) for the search space of the particles. Our results indicate that the global maxima search time can be significantly improved while maintaining the accuracy by implementing the PSO-RB algorithm. A direct comparison between the original PSO algorithm and the new PSO-RB algorithm showed that PSO-RB can find the GM point 54.3% (over 2 times) faster than the conventional PSO.

3 citations

References
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Proceedings ArticleDOI
04 Oct 1995
TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Abstract: The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm. Benchmark testing of both paradigms is described, and applications, including neural network training and robot task learning, are proposed. Relationships between particle swarm optimization and both artificial life and evolutionary computation are reviewed.

14,477 citations

Journal ArticleDOI
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.
Abstract: Maximum power point tracking (MPPT) techniques are 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. The issue of MPPT has been addressed in different ways in the literature but, especially for low-cost implementations, the perturb and observe (PO moreover, it is well known that the P&O algorithm can be confused during those time intervals characterized by rapidly changing atmospheric conditions. In this paper it is shown that, in order to limit the negative effects associated to the above drawbacks, the P&O MPPT parameters must be customized to the dynamic behavior of the specific converter adopted. A theoretical analysis allowing the optimal choice of such parameters is also carried out. Results of experimental measurements are in agreement with the predictions of theoretical analysis.

2,696 citations


"Implementation of Enhanced Global S..." refers background in this paper

  • ...r1nand r2n Randomly generated constants ,uniformly distributed [0,1] varies...

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  • ...00 ©2019 IEEE 547 the operating point in steps of small change in voltage or current [1], differential change prediction named as Incremental Conductance...

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Journal ArticleDOI
01 Jan 1995
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.
Abstract: As the maximum power operating point (MPOP) of photovoltaic (PV) power generation systems changes with changing atmospheric conditions (e.g. solar radiation and temperature), an important consideration in the design of efficient PV systems is to track the MPOP correctly. Many maximum power tracking (MPT) techniques have been considered in the past but techniques using microprocessors with appropriate MPT algorithms are favoured because of their flexibility and compatibility with different PV arrays. Although the efficiency of these MPT algorithms is usually high, it drops noticeably in cases of rapidly changing atmospheric conditions. The authors have developed a new MPT algorithm based on the fact that the MPOP of a PV generator can be tracked accurately by comparing the incremental and instantaneous conductances of the PV array. The work was carried out by both simulation and experiment, with results showing that the developed incremental conductance (IncCond) algorithm has successfully tracked the MPOP, even in cases of rapidly changing atmospheric conditions, and has higher efficiency than ordinary algorithms in terms of total PV energy transferred to the load.

1,732 citations


"Implementation of Enhanced Global S..." refers background in this paper

  • ...(INC) [2], short circuit current [3] and open circuit voltage as found in the literature....

    [...]

Journal ArticleDOI
TL;DR: In this paper, the authors proposed an adaptive MPPT algorithm for photovoltaic (PV) power generation systems based on a short-current pulse of the PV to determine an optimum operating current where the maximum output power can be obtained and completely differs from conventional hill-climbing-based methods.
Abstract: This paper proposes a novel maximum-power-point tracking (MPPT) method with a simple algorithm for photovoltaic (PV) power generation systems. The method is based on use of a short-current pulse of the PV to determine an optimum operating current where the maximum output power can be obtained and completely differs from conventional hill-climbing-based methods. In the proposed system, the optimum operating current is instantaneously determined simply by taking a product of the short-current pulse amplitude and a parameter k because the optimum operating current is exactly proportional to the short current under various conditions of illuminance and temperature. Also, the system offers an identification capability of k by means of fast power-versus-current curve scanning, which makes the short-current pulse-based MPPT method adaptive to disturbances such as shades partially covering the PV panels and surface contamination. The above adaptive MPPT algorithm has been introduced into a current-controlled boost chopper and a multiple power converter system composed of PV-and-chopper modules. Various operating characteristics have experimentally been examined on this multiple PV-and-chopper module system from a practical viewpoint and excellent MPPT performance has been confirmed through the tests.

642 citations

Journal ArticleDOI
04 Mar 2005
TL;DR: In this article, the maximum power point tracker output voltage and current are used for control purposes, rather than for its input voltage or current, and it is shown that using the output parameters simplifies the MPPT controller.
Abstract: A new approach for tracking the maximum power point of photovoltaic arrays is presented. The maximum power point tracker output voltage and current are used for control purposes, rather than for its input voltage and current. It is shown that using the output parameters simplifies the maximum power point tracker controller. Moreover, using this approach, only one out of the two output parameters needs to be sensed. This observation is general and applies regardless of the power stage or the realisation control algorithm. Contrary to what might have previously been assumed, it is theoretically shown that the MPPT control that uses a single output control parameter applies to nearly all practical load types, regardless of the load nature.

241 citations