Bat algorithm based maximum power point tracking for photovoltaic system under partial shading conditions

Kaced, Karim; Larbes, Cherif; Ramzan, Naeem; Bounabi, Moussaab; Dahmane, Zine elabadine

doi:10.1016/j.solener.2017.09.063

Cited by 144 publications

(67 citation statements)

References 34 publications

(51 reference statements)

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“…Tuy nhiên, công suất đạt được bị dao động lớn và dễ rơi vào cực trị địa phương (LMPP) khi bức xạ của các module không đồng đều. Vì vậy, ngoài phương pháp truyền thống là P&O và điện dẫn gia tăng (Incremental Conductance-INC), gần đây nhiều giải thuật tối ưu khác cũng đã được đề xuất để cải thiện nhược điểm của giải thuật truyền thống như: Modified PSO (M-PSO), Bat Algorithm (BA), Whale Optimization Algorithm (WOA), Firework Algorithm (FWA), Grey Wolf Optimization (GWO), Ant Colony Optimization (ACO), Firefly Algorithm (FFA), hay sự kết hợp giữa các giải thuật với nhau như PSO-P&O, INC-FFA, FWA-P&O [3][4][5][6][7][8][9][10][11][12][13] . Hiệu suất, tốc độ hội tụ, độ phức tạp và chi phí nói lên tính khả thi của giải pháp.…”

Section: Giới Thiệuunclassified

Optimization of the maximum power point of photovoltaic working under partial shading conditions

Hien

Truong

Quach

2020

Sci. Tech. Dev. J.- Eng. Tech.

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Photovoltaic is used to convert electricity from solar radiation. The working characteristics of photovoltaic depend on environmental conditions such as temperature, solar radiation intensity, and the surrounding environment. During operation, the photovoltaic generation system (PGS) can be partially or completely shaded due to natural phenomena such as clouds, buildings, dust, animals, electric pillars, trees ... these are changing the characteristics of the system’s power output of PV. This paper proposes a maximum power point tracking algorithm for PGS operating under partially shaded condition (PSC) based on Particle Swarm Optimization (PSO) method, and a configuration comprises of three PV modules type PHM60W36 is used to simulate using PSIM software. The study focused on changing the working characteristics of the photovoltaic system when changing factors such as level, location of the photovoltaic module are shaded. The effectiveness of the proposed method is not only compared with the traditional Perturb and Observe (P&O) method but also compared with those proposed previously under the same operating conditions. In addition, an experimental model was developed to investigate the response of the proposed solution in the real environment with the Chroma-62050H simulator. The results show the superiority of the proposed solution in improving the performance MPPT and convergence speed of the system under complex operating conditions.

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Section: Giới Thiệuunclassified

Optimization of the maximum power point of photovoltaic working under partial shading conditions

Hien

Truong

Quach

2020

Sci. Tech. Dev. J.- Eng. Tech.

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“…Figure 15 draws P-V curve having five peaks. Figure 17 draws a complete comparative study between four methods proposed in 24,25 and the suggested GMPPT. As seen in this figure, the proposed GMPPT is able to track the GMPP faster than the other methods.…”

Section: Figure 12mentioning

confidence: 99%

“…As seen in this figure, the proposed GMPPT is able to track the GMPP faster than the other methods. Figure 17 draws a complete comparative study between four methods proposed in 24,25 and the suggested GMPPT. It is evident that the proposed GMPPT provides the quickest dynamical response that the other methods.…”

Section: Figure 12mentioning

confidence: 99%

State‐dependent Riccati equation–based MRAC and fuzzy sliding mode control for maximum power point tracking in partially shaded conditions in PV systems

Rahideh

Ketabi

Niasar

2019

Int Trans Electr Energ Syst

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Summary This study suggests an adaptive and optimal control method to achieve the maximum power point tracking (MPPT) in the photovoltaic (PV) systems. For the maximum power transmission under varying the environmental conditions and partially shaded conditions, MPPT technologies are utilized in PV systems. For the improvement of functioning MPPT, a new four‐level control structure which decreases difficulty in the control process and efficiently deals with the uncertainties in the PV systems is introduced. The first one is a novel mechanism to estimate the reference voltage at a global maximum power point (GMPP), and an optimal and intelligent GMPP tracker (GMPPT) is employed as the last one. An extended state‐dependent Riccati equation (ESDRE) approach and fuzzy sliding mode control (FMSC) are selected as a GMPPT. The FMSC generates the duty cycle for the boost converter, and the ESDRE removes the underdamped and oscillatory response of PV systems. To verify the proposed method, several irradiation profiles that create several peaks (five peaks) in the P‐V curve are used. The simulation results show that the proposed method causes PV systems to track the GMPP immediately so that no oscillation around the GMPP is observed. Therefore, maximum efficiency can be derived from the PV system.

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“…Consequently, several optimization algorithms have been proposed in the literature. Particle swarm optimization (PSO), glowworm swarm optimization (GSO), grey wolf optimization (GWO), artificial bee colony (ABC), ant colony optimization (ACO), bat algorithm, firefly algorithm, simulated annealing (SA), flower pollination algorithm, and S‐Jaya algorithm are few to name. However, instead of utilising a complicated MPPT algorithm under PSC, the maximum obtainable direct current (DC) power from a PV array can also be enhanced by reconfiguring the connection of the PV modules.…”

Section: Introductionmentioning

confidence: 99%

A detailed comparative analysis of different photovoltaic array configurations under partial shading conditions

Jha

Triar

2019

Int Trans Electr Energ Syst

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Summary The objective of this paper is to compare the performances of different photovoltaic (PV) array configurations (series, parallel, series‐parallel, total‐cross‐tied, bridge‐linked, and honey comb) and proposed hybrid configurations (series parallel–total cross tied, bridge linked–total cross tied, honey comb–total cross tied, and bridge linked–honey comb) under artificial and realistic partial shading conditions. The performances of all these configurations have been compared on the basis of their maximum powers, fill factors, thermal voltages, and relative power losses. Different PV array configurations have also been compared on the basis of other significant factors (faults, limitations of specific parameters of the PV system, and cost). The single‐diode model of PV module is considered in this paper for modelling of PV module. The obtained results of different PV array configurations give beneficial knowledge regarding the performances of these configurations for several shading patterns and assist to choose the most satisfactory configuration for a particular shading pattern.

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Bat algorithm based maximum power point tracking for photovoltaic system under partial shading conditions

Cited by 144 publications

References 34 publications

Optimization of the maximum power point of photovoltaic working under partial shading conditions

Optimization of the maximum power point of photovoltaic working under partial shading conditions

State‐dependent Riccati equation–based MRAC and fuzzy sliding mode control for maximum power point tracking in partially shaded conditions in PV systems

A detailed comparative analysis of different photovoltaic array configurations under partial shading conditions

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