A hybrid MPPT for quasi-Z-source inverters in PV applications under partial shading condition

Hanafiah, Stefan; Ayad, Ayman; Hehn, Alexander; Kennel, Ralph

doi:10.1109/cpe.2017.7915208

Cited by 21 publications

(7 citation statements)

References 9 publications

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“…Recently, the hybrid technique which integrates the conventional and metaheuristic approaches, is gaining interest [30][31][32][33][34]. A P&O method find the first local maximum point whereas the PSO MPPT methods success to track the global maximum point.…”

Section: Iv35 Pando and Pso (Pso-pando)mentioning

confidence: 99%

Survey and Classification of Hybrid GMPPT Techniques for Photovoltaic System under Partial Shading Conditions

Belhachat

Larbes

2022

ENPESJ

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A maximum power point tracking process is a very important task to harvest the maximum power available from a photovoltaic generator. For this reason, resorting to the development of new and more effective methods is an absolute necessity. Numerous advanced methods have been successfully employed to extract the real maximum point, such as neural networks and metaheuristic techniques. These techniques deal effectively in such conditions. However, the use of the algorithm alone has some limitations. In order to solve these drawbacks, the combination of two or more different techniques provides more advantages over single MPPT algorithms and improves the performance of the overall system. This paper mainly focus in reviewing the most important and recent hybrid global MPPT techniques proposed in the literature and proposes a classification of these methods with a comparison of their performances. All surveyed hybrid GMPPT methods are divided into four categories according to algorithms types involved in the MPPT method. This review study intends to make it easier for the user to make the convenient selection of which method to adopt especially in the presence of a variety of methods which are continuously developing in the literature. For this reason, resorting to the development of new and more effective methods is an absolute necessity to avoid the aforementioned problems. In the same context, numerous advanced methods have been successfully employed to extract the real maximum point, such as neural networks and metaheuristic techniques. These techniques deal effectively in such conditions. However, the use of the algorithm alone has some limitations. In order to solve these drawbacks, the combination of two or more different techniques provides more advantages over single MPPT algorithms and improves the performance of the overall system. This paper mainly focus in reviewing the recent hybrid global MPPT techniques proposed in the literature and proposes a classification of these methods with a comparison of their performances. All surveyed hybrid GMPPT methods are divided into four categories according to algorithms types involved in the MPPT method. This review study intends to make it easier for the user to make the convenient selection of which method to adopt especially in the presence of a variety of methods which are continuously developing in the literature.

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Section: Iv35 Pando and Pso (Pso-pando)mentioning

confidence: 99%

Survey and Classification of Hybrid GMPPT Techniques for Photovoltaic System under Partial Shading Conditions

Belhachat

Larbes

2022

ENPESJ

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“…PSO has been integrated with fuzzy logic controller (FLC) for this purpose, where the MPPT starts the search with PSO, and when it captures the GP it transfers the control to FLC [29]. Other researchers used the same idea but hybridized the PSO with the P&O technique [30][31][32][33][34]. The PSO has also been hybridized with the gravitational search algorithm (GSA) for the same purpose [35].…”

Section: Hybridizing the Pso With Other Mppt Techniquementioning

confidence: 99%

Performance Improvement of PV Systems’ Maximum Power Point Tracker Based on a Scanning PSO Particle Strategy

2020

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Partial shading of PV systems generates many peaks in the P–V curve. These peaks have one global peak (GP), the remaining being local peaks (LPs). Metaheuristic techniques such as PSO have proven superiority in capturing the GP and avoiding entrapment in an LP in comparison to conventional techniques. In case of partial shading conditions (PSC), the GP may change its position and value in the P–V curve and the PSO is unable to capture the GP unless they reinitialize. Reinitialization of PSO particles spends a long time for convergence; and it may cause premature convergence. This paper proposes a novel strategy for scanning the new position of the GP in case of PSC changes without a need for reinitialization. The proposed strategy sends a particle to the anticipated places of peaks to search for any peak with power greater than the current GP and when it locates this new GP it will move the PSO particles directly to the new GP. This strategy reduced the reinitialization time by 650% as compared to the time required for the random reinitialization of the conventional PSO technique. Moreover; this proposed strategy completely avoids the premature convergence associated with conventional PSO techniques.

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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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A hybrid MPPT for quasi-Z-source inverters in PV applications under partial shading condition

Cited by 21 publications

References 9 publications

Survey and Classification of Hybrid GMPPT Techniques for Photovoltaic System under Partial Shading Conditions

Survey and Classification of Hybrid GMPPT Techniques for Photovoltaic System under Partial Shading Conditions

Performance Improvement of PV Systems’ Maximum Power Point Tracker Based on a Scanning PSO Particle Strategy

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

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