Reconfiguration of photovoltaic arrays based on genetic algorithm

Camarillo-Peñaranda, Juan R.; Ramírez-Quiroz, Fabio Andrés; Montoya, Daniel; Bolaños-Martínez, Freddy; Ramos‐Paja, Carlos Andrés

doi:10.17533/udea.redin.n75a10

Cited by 10 publications

(6 citation statements)

References 14 publications

(25 reference statements)

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“…Other famous metaheuristic algorithm as genetic algorithm (GA) [20,21], cuckoo search (CS) [22], flower pollination algorithm (FPA) [23], hybrid flower pollination with clonal selection algorithm (FPA-CSA) [24,25], artificial bee colony (ABC) [26], invasive weed optimization (IWO) [27], was used to optimize the required objective function given in Equation 4 utilizing both Integer link matrix and binary link matrix. Results are summarized in Table 1.…”

Section: Pv Reconfiguration Via Integer Harmony Searchmentioning

confidence: 99%

Photovoltaic Array Reconfiguration under Partial Shading Based on Integer Link Matrix and Harmony Search

Ryad¹,

Atallah²,

Zekry³

2019

EJEE

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This paper mainly reconfigures a total cross tied (TCT) photovoltaic array (PA) under partial shading, aiming to maximize the power output based on irradiance mismatch index (IMI). First, the positions of the PV modules in the array were represented as an integer link matrix. The binary value of each integer in the matrix stands for the new position of each PV module in the array. Next, the harmony search (HS) was coupled with the integer link matrix to minimize the IMI. Then, the proposed reconfiguration method was compared with several famous techniques through case studies. The results show that the integer link matrix achieved the best reconfiguration pattern for each case, and the HS outperformed all the contrastive metaheuristic algorithms. The research findings shed important new light on PV power generation under partial shading.

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Section: Pv Reconfiguration Via Integer Harmony Searchmentioning

confidence: 99%

Photovoltaic Array Reconfiguration under Partial Shading Based on Integer Link Matrix and Harmony Search

Ryad¹,

Atallah²,

Zekry³

2019

EJEE

View full text Add to dashboard Cite

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“…Quintero et al [18] study the synthesis of path generation and body guide using four and six-bar linkage mechanisms. Genetic algorithms are also used in other kind of study; for example in the design of spherical parallel manipulators [24] in the design of crowned cylindrical roller bearings [13] estimation in-situ rock elastic constants by acoustic reflection records [16], deposition of thin copper films on flat surfaces of polypropylene polymer, [7], calculation of reconfiguration patterns for Photovoltaic Arrays [4], analysis of the requirements of an assembly line and paint shop to determinate the scheduling order of vehicles in a production day [10], in the design of the prosthesis of a lower limb [15], in the design of displacement law of noncircular gear [19]. In this article, a redesign of the door opening and closing mechanism present in public transport bus is proposed, with the goal of solving a real engineering problem.…”

Section: Figure 1 Opening and Closing Mechanismmentioning

confidence: 99%

Optimization of the opening and closing mechanism of an urban bus door using genetic algorithm

Riaza¹,

Aldana²,

Montilla³

et al. 2018

ces

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Public transport vehicles require cyclic loading in their mechanical systems, which generally leads to the implementation of short-term maintenance plans and compels their manufacturers or owners to pay high monetary costs. One of these systems is the door opening and closing mechanism. High forces tend to be applied 3356 Héctor F. Quintero et al. for this mechanism, causing problems in its components and, hence, malfunction in a shorter period of time. This paper shows the redesign of a door opening and closing mechanism in which an optimization process is implemented based on genetic algorithms; the objective variable being the improvement of the mechanism's transmission angle. In this document, a comparative kinetostatic analysis of both the original and the redesigned mechanisms is carried out through a multi-body dynamics simulation. The results found in the simulation point out that the reactions of the proposed mechanism are reduced. In the experimental part of this work, a prototype of the designed mechanism was built and subjected to cyclic closing and opening operations. The results of this practice confirmed the advantages of the designed mechanism.

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“…Researchers have proposed different approaches in this regard. One approach proven to be suitable for sorting methods is to determine PV array rearrangement based on a genetic algorithm (GA) [17]. Meanwhile, other rearrangement approaches are geared towards enhancing power yield in settings with shade [18].…”

Section: Introductionmentioning

confidence: 99%

A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-Uniformly Aged PV Arrays by Merely Repositioning

Alkahtani

Kuka

et al. 2020

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Photovoltaic (PV) module working conditions lack consistency and PV array power outputs fluctuate due to the non-uniform impact that aging has on various PV modules in a PV array. No assessment has been conducted on the energy potential of a non-uniform PV array, despite the fact that the maximum power point (MPP) can be tracked by global maximum power point tracking (GMPPT). Therefore, the present work undertakes such an assessment by devising an algorithm to optimise the PV array electrical structure as the PV modules undergo aging in a non-uniform way. To enable PV arrays with non-uniform aging to produce as much power as possible and to make maintenance more cost-effective, the work puts forward a novel approach for reconfiguring PV arrays, where the PV modules are repositioned by retaining the aged PV modules. By this approach, the selection of the best reconfiguration topology necessitates the information on the electrical parameters associated with the PV modules in an array. Furthermore, the non-uniform aging of the PV modules can engender an incompatibility effect, which can be diminished in the proposed algorithm through iterative sorting of the modules in a hierarchical pattern. To determine how effective the method is for PV arrays with non-uniform aging and of different sizes, such as 3 × 4, 5 × 8 and 7 × 8 arrays, computer simulation and analysis have been conducted, with findings indicating that, irrespective of dimensions, PV arrays with non-uniform aging can have improved power yield.

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Reconfiguration of photovoltaic arrays based on genetic algorithm

Cited by 10 publications

References 14 publications

Photovoltaic Array Reconfiguration under Partial Shading Based on Integer Link Matrix and Harmony Search

Photovoltaic Array Reconfiguration under Partial Shading Based on Integer Link Matrix and Harmony Search

Optimization of the opening and closing mechanism of an urban bus door using genetic algorithm

A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-Uniformly Aged PV Arrays by Merely Repositioning

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