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Proceedings ArticleDOI

Peak prediction method of maximum power point for series-parallel photovoltaic array under partial shading condition

TL;DR: In this article, the authors focus on analyzing the credibility of two maximum power point prediction methods namely (1) 0.8 Voc method and (2) improved 0.6 Voc method.
Abstract: To achieve optimal energy extraction from photovoltaic array during partial shading (PS) condition, a maximum power points tracker (MPPT) with good performance is highly demanded. One of the main criteria of a good MPPT is the accuracy to track the maximum output power with minimal time. Therefore, few equations are proposed by the researchers to predict the peak voltage (V lp ) of PV array during PS occurrences. The equations basically claim that it can assist to improve the tracking efficiency and speed by predicting the maximum power point (MPP). But, it never was proved that those equations are valid for all PS patterns that can be occurred. Considering the above fact, this paper focus on analyzing the credibility of two maximum power point prediction methods namely (1) 0.8 Voc method and (2) improved 0.8 Voc method. Test performance is carried with five shading patterns of 5×4 series-parallel (SP) configuration of PV array. Results confirm that the equation is only valid for the shading that has similar irradiance level, for each of the strings inside the PV array.
Citations
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Journal ArticleDOI
TL;DR: A new control algorithm using differential evolution (DE) for photovoltaic array reconfiguration (PVAR) is proposed and compared with the particle swarm optimization (PSO) algorithm, results confirm that DE performs well in terms of the amount of energy production during PSC.
Abstract: To increase energy yield from an installed photovoltaic (PV) array, particularly during partial shading condition (PSC), a new technique based on reconfigurable PV array interconnection is proposed in this work. The proposed technique works by dynamically changing the interconnection of PV modules to form a new configuration using a switching matrix inside the array. The criteria of good reconfigurable PV array interconnection techniques depend on the efficiency and accuracy of the control algorithm to optimally reconfigure the PV array to maximize the total output power. Hence, this paper proposes a new control algorithm using differential evolution (DE) for photovoltaic array reconfiguration (PVAR). To verify the superiority of the proposed algorithm, DE is compared with the particle swarm optimization (PSO) algorithm. Results confirm that DE performs well in terms of the amount of energy production during PSC. For all the nine shading patterns tested on a 3 × 3 PV array, DE yields 1% to 5% more power than PSO.

5 citations


Cites background from "Peak prediction method of maximum p..."

  • ...PSC causes considerable power losses to the PV system [4-7]....

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References
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Journal ArticleDOI
TL;DR: A novel algorithm to track the global power peak under partially shaded conditions and a feedforward control scheme for operating the DC-DC converter is proposed, which uses the reference voltage information from the tracking algorithm to shift the operation toward the MPP.
Abstract: Current-voltage and power-voltage characteristics of large photovoltaic (PV) arrays under partially shaded conditions are characterized by multiple steps and peaks. This makes the tracking of the actual maximum power point (MPP) [global peak (GP)] a difficult task. In addition, most of the existing schemes are unable to extract maximum power from the PV array under these conditions. This paper proposes a novel algorithm to track the global power peak under partially shaded conditions. The formulation of the algorithm is based on several critical observations made out of an extensive study of the PV characteristics and the behavior of the global and local peaks under partially shaded conditions. The proposed algorithm works in conjunction with a DC-DC converter to track the GP. In order to accelerate the tracking speed, a feedforward control scheme for operating the DC-DC converter is also proposed, which uses the reference voltage information from the tracking algorithm to shift the operation toward the MPP. The tracking time with this controller is about one-tenth as compared to a conventional controller. All the observations and conclusions, including simulation and experimental results, are presented.

978 citations

Journal ArticleDOI
TL;DR: A novel MPPT algorithm is proposed by introducing a particle swarm optimization (PSO) technique that uses only one pair of sensors to control multiple PV arrays, thereby resulting in lower cost, higher overall efficiency, and simplicity with respect to its implementation.
Abstract: Multiple photovoltaic (PV) modules feeding a common load is the most common form of power distribution used in solar PV systems. In such systems, providing individual maximum power point tracking (MPPT) schemes for each of the PV modules increases the cost. Furthermore, its v-i characteristic exhibits multiple local maximum power points (MPPs) during partial shading, making it difficult to find the global MPP using conventional single-stage (CSS) tracking. To overcome this difficulty, the authors propose a novel MPPT algorithm by introducing a particle swarm optimization (PSO) technique. The proposed algorithm uses only one pair of sensors to control multiple PV arrays, thereby resulting in lower cost, higher overall efficiency, and simplicity with respect to its implementation. The validity of the proposed algorithm is demonstrated through experimental studies. In addition, a detailed performance comparison with conventional fixed voltage, hill climbing, and Fibonacci search MPPT schemes are presented. Algorithm robustness was verified for several complicated partial shading conditions, and in all cases this method took about 2 s to find the global MPP.

527 citations


"Peak prediction method of maximum p..." refers background in this paper

  • ...To achieve a better tracking time, the LMPP and GMPP should be accurately predicted....

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  • ...As a result, it can cause some problems to the MPP tracker that may detect Local Maximum Power Point (LMPP) instead of Global Maximum Power Point (GMPP) [5]-[7]....

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  • ...[8] and [9] proposed a 0.8VOC model to calculate and predict LMPP and GMPP. VOC is the open circuit voltage of the PV module which can be figured out from datasheet provided by manufacturer....

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  • ...This phenomenon is arisen because of activation and deactivation of the bypass diode that is normally connected in parallel with PV modules inside the array [3]-[5]....

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  • ...From literature, it is learned that one of the element for good MPPT is the speed and accuracy to track the GMPP....

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Journal ArticleDOI
TL;DR: A survey of the proposed approaches in each category of modified MPPT techniques that properly detect the global MPP is surveyed and a brief discussion of their characteristics is provided.
Abstract: Partial shading in photovoltaic (PV) arrays renders conventional maximum power point tracking (MPPT) techniques ineffective. The reduced efficiency of shaded PV arrays is a significant obstacle in the rapid growth of the solar power systems. Thus, addressing the output power mismatch and partial shading effects is of paramount value. Extracting the maximum power of partially shaded PV arrays has been widely investigated in the literature. The proposed solutions can be categorized into four main groups. The first group includes modified MPPT techniques that properly detect the global MPP. They include power curve slope, load-line MPPT, dividing rectangles techniques, the power increment technique, instantaneous operating power optimization, Fibonacci search, neural networks, and particle swarm optimization. The second category includes different array configurations for interconnecting PV modules, namely series-parallel, total-cross-tie, and bridge-link configurations. The third category includes different PV system architectures, namely centralized architecture, series-connected microconverters, parallel-connected microconverters, and microinverters. The fourth category includes different converter topologies, namely multilevel converters, voltage injection circuits, generation control circuits, module-integrated converters, and multiple-input converters. This paper surveys the proposed approaches in each category and provides a brief discussion of their characteristics.

433 citations

Journal ArticleDOI
TL;DR: In this paper, a novel ant colony optimization (ACO)-based MPPT scheme for photovoltaic (PV) systems is presented. And a new control scheme is also introduced based on the proposed MPPT method.

307 citations


"Peak prediction method of maximum p..." refers background in this paper

  • ...As a result, it can cause some problems to the MPP tracker that may detect Local Maximum Power Point (LMPP) instead of Global Maximum Power Point (GMPP) [5]-[7]....

    [...]

Journal ArticleDOI
TL;DR: In this article, an experimental comparison of two algorithms developed in order to maximize the output power from a photovoltaic (PV) system for the same given set of conditions is presented.

209 citations