Different tracking strategies for optimizing the energetic efficiency of a photovoltaic system

Alexandru, Cătălin; Pozna, Claudiu

doi:10.1109/aqtr.2008.4588958

Cited by 28 publications

(18 citation statements)

References 11 publications

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“…On the other hand, the accuracy of the applied tracking system model influences the obtained sun tracking system trajectories. One of the possible solutions is to build a dynamic multibody system (MBS) model of the sun tracking system [11] and [27]. This approach also allows the integration of the finite-element model in the MBS analysis, for precisely simulating the tracking system with compliant components and evaluation of the stability performance, all within the MBS environment [28].…”

Section: A Two-axis Sun Tracking Systemmentioning

confidence: 99%

“…The result should give the answer on the question when and for how many degrees the azimuth angle should be changed to maximize the electric energy production in the PV system. The authors in [11] and [27] deal with the design and optimization of sun tracking systems. They use advanced dynamic models multi-body models of the tracking system completed with the dynamic models of the driving motors and control, all together called virtual prototyping.…”

Section: Trajectories Determined By Differential Evolutionmentioning

confidence: 99%

“…The sun tracking systems are the mechatronic systems, consisting of the mechanics, electric drives, and information technology [11]. The authors in [12], [13] deal with single-axis tracking system, while the ones in [14]- [16] deal with a two-axis tracking system.…”

mentioning

confidence: 99%

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Maximum Efficiency Trajectories of a Two-Axis Sun Tracking System Determined Considering Tracking System Consumption

Seme

Štumberger

Vorsic

2011

IEEE Trans. Power Electron.

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This paper deals with the two-axis sun tracking system for a photovoltaic system. The trajectories of the sun tracking system are determined in an optimization procedure. The optimization goal is maximization of an electric energy production in the photovoltaic system considering the tracking system consumption. Determination of the tilt angle and azimuth angle trajectories is described as a nonlinear and bounded optimization problem, where the objective function is not available in the explicit form. A stochastic search algorithm called Differential Evolution is used as an optimization tool. In the optimization procedure, the objective function is evaluated by using the models of available solar radiation, tracking system consumption, and the efficiency of solar cells with the appropriate dc/dc converters. The problem bounds are given in the form of lower and upper bounds for both angles and time and angle quantization. The results presented in the paper show, that the optimal trajectories for the tilt and azimuth angle depend on the available solar radiation, solar cell efficiency, tracking system consumption and the optimization bounds.

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Section: A Two-axis Sun Tracking Systemmentioning

confidence: 99%

Section: Trajectories Determined By Differential Evolutionmentioning

confidence: 99%

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Maximum Efficiency Trajectories of a Two-Axis Sun Tracking System Determined Considering Tracking System Consumption

Seme

Štumberger

Vorsic

2011

IEEE Trans. Power Electron.

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“…Due to permanent changes for positioning, these systems can spend more energy. The open-loop systems are based on the mathematical algorithms that can provide predefined trajectories for the tracking systems [1,3,4].…”

Section: Introductionmentioning

confidence: 99%

Application of swarm based optimization algorithms to maximize output energy of photovoltaic panels

Koochaki

Hosseini

2016

Teh. vjesn.

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APPLICATION OF SWARM BASED OPTIMIZATION ALGORITHMS TO MAXIMIZE OUTPUT ENERGY OF PHOTOVOLTAIC PANELS Amangaldi Koochaki, Hadieh Sadat HosseiniOriginal scientific paper Produced energy of Photovoltaic (PV) cells depends on solar radiation. Thus, the highest share of the solar radiation to the surface of the PVs is essential. This paper presents a new control strategy to maximize the output energy of dual axis sun tracking. In this procedure, the optimal trajectory of the tracking system is determined based on a bounded optimization problem. The optimal tilt and azimuth angles of PV are calculated using swarm based optimization algorithms and an objective function that is suggested based on time dependent solar radiation prediction. This prediction uses the length of a sunbeam's path through the atmosphere. The proposed approach is simulated by MATLAB software using Bee optimization algorithm and the results are compared with the Differential Evolution (DE), Genetic Algorithm (GA) and fixed panel results. The results show that the proposed method increases the electrical energy production within photovoltaic systems. Keywords: bee optimization algorithm; maximize energy; photovoltaic panel; sun trackingPrimjena algoritama optimizacije temeljenih na roju pčela u svrhu povećanja izlazne energije solarnih ploča Izvorni znanstveni članak Proizvedena energija solarnih ćelija (PV) ovisi o sunčevom zračenju. Stoga je bitno da do površine solarnih ćelija dopre najveći dio sunčevog zračenja. U radu se predstavlja nova upravljačka strategija maksimiziranja izlazne energije dvoosnog praćenja sunca. U tom se postupku optimalna putanja sustava praćenja određuje na temelju problema ograničene optimizacije. Optimalni kut zakretanja (tilt angle) i azimut kut solarnih ćelija izračunavaju se pomoću optimizacijskih algoritama temeljenih na roju i objektivne funkcije na temelju predviđanja sunčevog zraćenja ovisno o vremenu. Za to se predviđanje rabi dužina putanje sunčevih zraka kroz atmosferu. Predloženi pristup je simuliran MATLAB softverom primjenom optimizacijskog algoritma pčela, a rezultati su uspoređeni s rezultatima dobivenim metodom diferencijalne evolucije (DE), genetskog algoritma (GA) i fiksne ploče. Rezultati pokazuju da se predviđenom metodom povećava proizvodnja električne energije solarnih ćelija.Ključne riječi: algoritam optimizacije temeljen na roju pčela; maksimalizirati energiju; solarna ćelija; praćenje sunca

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“…Although, the orientation based on the Sun detecting sensors, may introduce errors in detection of real sun position for variable weather conditions. The alternative consists in the opened loop systems (Abdallah & Nijmeh, 2004;Alexandru & Pozna, 2008;Roth et al, 2004), which are based on mathematic algorithms/programs that may provide predefined parameters for the motors, depending on the sun positions on the sky dome (i.e. the astronomic movements of the Sun -Earth system).…”

mentioning

confidence: 99%

The Analysis and Optimization in Virtual Environment of the Mechatronic Tracking Systems Used for Improving the Photovoltaic Conversion

Pozna¹

2010

Motion Control

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Different tracking strategies for optimizing the energetic efficiency of a photovoltaic system

Cited by 28 publications

References 11 publications

Maximum Efficiency Trajectories of a Two-Axis Sun Tracking System Determined Considering Tracking System Consumption

Maximum Efficiency Trajectories of a Two-Axis Sun Tracking System Determined Considering Tracking System Consumption

Application of swarm based optimization algorithms to maximize output energy of photovoltaic panels

The Analysis and Optimization in Virtual Environment of the Mechatronic Tracking Systems Used for Improving the Photovoltaic Conversion

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