An Advanced Particle Swarm Optimization Algorithm for MPPTs in PV Systems
01 Sep 2017-Acta Physica Polonica A (Institute of Physics, Polish Academy of Sciences)-Vol. 132, Iss: 3, pp 1134-1139
TL;DR: The proposed advanced particle swarm optimization algorithm aims to catch the global maximum power point much faster, accurately and to reduce the chatter in the power curve and accelerates the globalmaximum tracking time with gridding the initial search area.
Abstract: Maximum power point trackers are in charge of absorbing the maximum potential power from the photovoltaic panels. Thus, this makes the maximum power point trackers the fundamental parts of the photovoltaic panel systems. The conventional maximum power point tracker algorithms are working well under balanced insolation conditions, however when the partial shade condition occurs, those algorithms are trapped at the local maxima. Hence, under partial shade conditions, the need for a global maximum power point tracking algorithm arises. Particle swarm optimization is a preferential algorithm of maximum power point trackers in literature, especially in partial shade conditions. This paper is focused on improving the existing particle swarm optimization algorithm for maximum power point trackers. The proposed advanced particle swarm optimization algorithm aims to catch the global maximum power point much faster, accurately and to reduce the chatter in the power curve. The proposed method accelerates the global maximum tracking time with gridding the initial search area. The effectiveness of the proposed method is demonstrated with simulation results and these results are compared with a conventional particle swarm optimization method under step changes in irradiance and partial shade conditions of an array of photovoltaic panels.
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TL;DR: In this paper, a semi-continuous measurement system automation with a single set of sensors working by taking air samples from different points over specific periods has been designed to reduce investment, operation, and maintenance repair costs.
Abstract: The condition of the ambient air must be continuously checked to detect hazardous gas leakage and ensure the safety of employees in hazardous gas production and storage areas. Detection and elimination of hazardous gas leaks can be done with various complex measurement, safety, and disposal systems. These measurement systems consist of different types of sensor and require control and monitoring system. This leads to high investment and operating costs. In this study, semi-continuous measurement system automation with a single set of sensors working by taking air samples from different points over specific periods has been designed to reduce investment, operation, and maintenance repair costs. In the design, the measurement points are divided into zones and codes in the automation system. Thus, it is aimed to keep a constant record of what the air sample is coming from and what its content is. As a result, it has been determined that it is possible to establish a measurement and automation system similar to existing hazardous gas measurement systems with less investment and operating costs. The proposed automation system has been applied in the industrial storage area. In addition, a cost analysis has been performed and compared with conventional systems.
2 citations
Cites background from "An Advanced Particle Swarm Optimiza..."
...In this context, alternative energy sources can be used to reduce energy consumption and provide energy in places where there is no energy (Erdem 2017)....
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01 Jun 2022
TL;DR: In this paper , an improved particle swarm optimization (PSO) algorithm is proposed to achieve the goal of MPPT, which uses Newton interpolation-assisted conventional PSO, and the results show that the improved PSO has better tracking accuracy and speed than the conventional algorithm.
Abstract: Abstract Solar energy has attracted a lot of attention because it is clean and has no pollution. However, due to the partially shaded condition, the photovoltaic array cannot work uniformly at the maximum power point, resulting in a large power loss. To improve this problem, the research of the maximum power point tracking (MPPT) algorithm is discussed by scholars. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed to achieve the goal of MPPT, which uses Newton interpolation-assisted conventional PSO. After tracking to the maximum power point, the Newton interpolation method is used to calculate the maximum power point, reduce the number of iterations of the conventional PSO algorithm and reduce the steady-state oscillation. The simulation is carried out in MATLAB®/Simulink® and compared with conventional PSO. The results show that the improved PSO has better tracking accuracy and speed than the conventional algorithm, and the initial tracking speed is increased by >30%.
2 citations
01 Dec 2019
TL;DR: This paper presents the methodology of PI controller tuning of PV employing Particle Swarm Optimization (PSO) to obtain the maximum power and maintain its value using the PI controller.
Abstract: Solar energy turns into a promising supply of electricity, so structures of Photo-voltaic (PV) regularly use a maximum power point tracking (MPPT) way to deliver the highest probable power to the load continuously. This paper presents the methodology of PI controller tuning of PV employing Particle Swarm Optimization (PSO). The aim is to obtain the maximum power and maintain its value using the PI controller. It is employed to trace this highest power point value.
1 citations
Cites methods from "An Advanced Particle Swarm Optimiza..."
...OPTIMIZATION TECHNIQUES The Particle Swarm Optimization (PSO) algorithm was first applied to a MPPT system in [11] , [12]....
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25 Apr 2023
TL;DR: In this paper , a bio-inspired Enhanced Slime Mold (ESM) algorithm search strategy was proposed to find the optimal power point by simulating the behaviour of slime molds in a virtual environment.
Abstract: Abstract Solar energy offers several environmental, economic, and energy security advantages. Parasitic parameters and shading on solar panels can reduce efficiency. This paper presents a bio-inspired Enhanced Slime Mold (ESM) algorithm search strategy to find the optimal power point by simulating the behaviour of slime molds in a virtual environment. In a solar panel, proposed ESM provides not only for parameter extraction but also serves as Maximum Power Point Tracking (MPPT) during Partial Shading Conditions (PSC). Proposed ESM dynamic behaviour is examined under solar irradiation and various temperature conditions. The effectiveness of proposed technique has been validated by extracting parameters from conventional polycrystalline and monocrystalline modules in the form of a 5S-5P arrangement. In the instance of MPPT operation, the proposed ESM algorithm is compared with Ant Bee Colony and Perturb& Observe (ABC-PO) to determine its efficacy. Moreover, during extraction of unknown parameters of solar cell ESM is compared with existing optimization algorithms such as Artificial Bee Swarm Optimization (ABC SO), Genetic Algorithm (GA), Covariant Matrix (CM), Ant Bee Colony (ABC), and Advanced Particle Swarm Optimization (APSO). In this connection, proposed ESM algorithm is superior to above-mentioned algorithms due to high accuracy, a smaller number of computations, and minimum computational time.
References
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26 Aug 2015
TL;DR: In this paper, an improved variable step PO (perturb and observe) and global scanning method (VSPOaGS) is proposed to achieve the maximum power point tracking.
Abstract: In the case of partially shading PV array would appear multi-peak characteristics of the P-U curve, and it is difficult to track the maximum power point with the conventional method. Therefore, this paper proposes an improved variable step PO (perturb and observe) and Global scanning method (VSPOaGS) to achieve the maximum power point tracking. This algorithm is guaranteed not to fall into local optimum, and to make the power oscillation less. This scheme is divided into two steps: 1) The improved variable step size PO is used to track the local optimum, 2) Then the global scanning is used to obtain the global optimum. Finally, the proposed algorithm is compared with a conventional fixed step size PO algorithm and validated for sudden changes in the irradiance. The simulation results show the proposed algorithm can accurately track the maximum power point (MPP) to avoid the power loss and improve the efficiency of PV array under partial shaded conditions.
26 citations
01 Mar 2016
TL;DR: In this article, performance evaluations of MPPT techniques using Firefly algorithm (FFA) and InCond technique for PV system under partial shad condition has been done, which revealed accurate GMPP tracking capability, fast dynamic response for rapid change in shade pattern, small amplitude of oscillation and steady state error than InCond algorithm.
Abstract: Several maximum power point tracking (MPPT) algorithms for photovoltaic applications have been proposed in literatures. Among them, classical techniques like perturb and observe (P&O), incremental conductance (InCond) and constant voltage are widely used because of simple implementation and less complexity. However, they have drawbacks of failure to track right perturbation direction during rapid change in climatic conditions, steady-sate oscillation and failure to track global maximum power point (GMPP) among multiple local and global peaks when ever the PV system is operating under partial shade condition. In this paper performance evaluations of MPPT techniques using Firefly algorithm (FFA) and InCond technique for PV system under partial shad condition has been done. The results using FFA revealed accurate GMPP tracking capability, fast dynamic response for rapid change in shade pattern, small amplitude of oscillation and steady state error than InCond technique.
21 citations
01 Oct 2015
TL;DR: In this article, a modified P&O MPPT that can be used under partial shading condition efficiently, by adding a simple checking algorithm to the original MPPT algorithm, in which the global maximum power point (MPP) is tracked first before the PPT algorithm takes place to produce optimum duty cycle for the boost converter.
Abstract: To have an efficient Photovoltaic (PV) system, Maximum Power Point Tracking (MPPT) technique is essential. Perturb and Observe (PO nevertheless, it is said to be the simplest and low cost method for MPPT technique. However, its major drawbacks — steady state oscillation problem and failure to track maximum power point (MPP) under partial shading condition cause the PV system to become less efficient. Thus, this paper proposes a modified P&O MPPT that can be used under partial shading condition efficiently, by adding a simple checking algorithm to the P&O algorithm, in which the global maximum power point (MPP) is tracked first before the P&O algorithm takes place to produce optimum duty cycle for the boost converter. A Simulink model and simulation results from MATLAB/Simulink are also presented.
16 citations
TL;DR: In this article, the authors presented the modeling and performance of a photovoltaic (PV) cell using MATLAB and showed that the increase of solar radiation and of ideality factor of diode lead to an increase in the output power of PV module, while the increease of cell temperature and of the dark saturation current lead to a decrease of the power.
Abstract: Modern research focuses on the renewable energy sources such as solar energy. This paper presents the modeling and performance of a photovoltaic (PV) cell. A simulation code is built using MATLAB. Results show that the increase of solar radiation and of ideality factor of diode lead to an increase in the output power of PV module, while the increease of cell temperature and of the dark saturation current lead to a decrease of the power. Curves of I-V and P -V dependencies are presented for module having 50 branches connected in parallel, with each branch having 50 cells connected in series. Data for certain Iraqi governorates are taken and applied for proposed module.
13 citations
TL;DR: Kirisa et al. as discussed by the authors proposed a solar array system layout optimization for reducing partial shading effect, which reduced the shading effect of the solar array by reducing the total shading effect.
Abstract: Solar Array System Layout Optimization for Reducing Partial Shading Effect B. Kirisa,∗, O. Bingol, R. Senol and A. Altintas Department of Electronic Computer Education, Suleyman Demirel University, 32200 Isparta, Turkey Faculty of Technology Electrical and Electronics Engineering, Suleyman Demirel University, 32200 Isparta, Turkey Faculty of Technology, Department of Mechatronics Engineering, Suleyman Demirel University, 32200 Isparta, Turkey Simav Technology Faculty, Department of Electrical and Electronics Engineering, Dumlupinar University, 43500 Kutahya, Turkey
13 citations