A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions

Titri, Sabrina; Larbes, Cherif; Toumi, Kamal Youcef; Benatchba, Karima

doi:10.1016/j.asoc.2017.05.017

Cited by 295 publications

(111 citation statements)

References 43 publications

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“…To tackle this problem, renewable energy is employed as an alternative mode of electrical power generation. Among the renewable energy options, photovoltaic solar power is getting more and more popular nowadays due to its abundantly available and inexhaustible nature [1][2][3][4][5]. The non-involvement of mechanical or moving parts in a photovoltaic power system also makes it more preferable than other renewable energy options [6].…”

Section: Introductionmentioning

confidence: 99%

Impact of Partial Shading on the P-V Characteristics and the Maximum Power of a Photovoltaic String

et al. 2018

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Abstract:A photovoltaic system is highly susceptible to partial shading. Based on the functionality of a photovoltaic system that relies on solar irradiance to generate electrical power, it is tacitly assumed that the maximum power of a partially shaded photovoltaic system always decreases as the shading heaviness increases. However, the literature has reported that this might not be the case. The maximum power of a partially shaded photovoltaic system under a fixed configuration and partial shading pattern can be highly insusceptible to shading heaviness when a certain critical point is met. This paper presents an investigation of the impact of partial shading and the critical point that reduce the susceptibility of shading heaviness. Photovoltaic string formed by series-connected photovoltaic modules is used in this research. The investigation of the P-V characteristic curve under different numbers of shaded modules and shading heaviness suggests that the photovoltaic string becomes insusceptible to shading heaviness when the shaded modules irradiance reaches a certain critical point. The critical point can vary based on the number of the shaded modules. The formulated equation in this research contributes to determining the critical point for different photovoltaic string sizes and numbers of shaded modules in the photovoltaic string.

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Section: Introductionmentioning

confidence: 99%

Impact of Partial Shading on the P-V Characteristics and the Maximum Power of a Photovoltaic String

et al. 2018

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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

“…Ngược lại với nguồn Boost thì Buck là bộ giảm áp hiệu quả được thiết kế như bộ chuyển đổi step up và giống bộ Boost converter, sử dụng hai khóa chuyển mạch như Hình 4b. Điện áp ngõ ra của nguồn Buck được tính theo biểu thức (5). (5) Với điện áp thu được thấp hơn ngõ vào nên công suất ra rất lớn so với công suất cung cấp.…”

Section: Bộ Giảm áP Buckunclassified

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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“…20 These drawbacks can be tackled by the use of a modified and determinative PSO algorithm. 21 The harmony search algorithm (HAS), 22 Cuckoo search algorithm (CSA), 23,24 artificial bee colony (ABC), 25,26 BAT algorithm, 27 ant colony optimization (ACO), 28,29 and DE 30 were used in finding optimum power point tracking in the solar power generation system.…”

mentioning

confidence: 99%

An experimental study on photovoltaic module with optimum power point tracking method

Thangamani

Manickam

Chellaswamy³

2019

Int Trans Electr Energ Syst

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Summary With the latest development in the area of power electronics, the photovoltaic (PV) cell can be made to operate at the optimum peak point with increased system efficiency. To maximize the power on photovoltaic cells under various conditions, optimum power point tracking (OPPT) methods such as conventional and soft computing methods are used. But it is not providing accurate and efficient output due to its randomness, fixed step size, and poor convergence. In this paper, the adaptive differential evolution (ADE) algorithm is introduced in the solar module to obtain the maximum power, and it has the ability to reach the optimum peak with the shorter time period. An Apriori method is used in the proposed ADE algorithm, wherein mutation factor and crossover are used as control parameters to increase the speed. The ruggedness of the ADE algorithm is tested under different shading condition such as no shading, 30% shading, and 50% shading condition. Extensive simulation has been carried out using PV solar module, and the analysis has been tabulated and compared with the existing results. Various statistical metrics such as root mean square error, the relative error, tracking efficiency, standard deviation, and efficiency are used to evaluate the effectiveness and validate the feasibility of the proposed method. Further, hardware has been implemented and tested with this algorithm.

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A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions

Cited by 295 publications

References 43 publications

Impact of Partial Shading on the P-V Characteristics and the Maximum Power of a Photovoltaic String

Impact of Partial Shading on the P-V Characteristics and the Maximum Power of a Photovoltaic String

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

An experimental study on photovoltaic module with optimum power point tracking method

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