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Proceedings ArticleDOI

FPA based approach for solar maximum power point tracking

04 Mar 2016-pp 1-6
TL;DR: In this paper, a new nature inspired flower pollination algorithm (FPA) is proposed, by considering the limitations of conventional method and Evolutionary algorithm implemented methods, the results of FPA acknowledge its potential in attaining good convergence, high efficiency and less complexity.
Abstract: Due to the regular availability, pollution free and eco-friendly nature, power generation from solar energy has gained considerable attention. Although, power generation from solar is attractive; the environmental factors such as irradiation and temperature makes it challenging. In particular, it is a demanding task to researchers to extract maximum power different shading conditions. However, to extract maximum power various MPPT techniques have been proposed in conventional method and Evolutionary algorithm implemented methods. In the paper, by considering the limitations of aforementioned methods, a new nature inspired flower pollination algorithm (FPA) is proposed. Compared to the inability in conventional methods under partial shaded conditions, the FPA yields very good performance. Further, different shading patterns are tested and the results are compared with P&O and HC (hill climbing) methods. The results of FPA acknowledges its potential in attaining good convergence, high efficiency and less complexity.
Citations
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Journal ArticleDOI
TL;DR: In this article, a duty cycle-based direct search method that capitalizes on a bioinspired optimization algorithm known as the salp swarm algorithm (SSA) was proposed to improve the tracking capability of the maximum power point (MPP) controller for optimum power extraction from a photovoltaic system under dynamic environmental conditions.
Abstract: This study proposes a duty cycle-based direct search method that capitalizes on a bioinspired optimization algorithm known as the salp swarm algorithm (SSA). The goal is to improve the tracking capability of the maximum power point (MPP) controller for optimum power extraction from a photovoltaic system under dynamic environmental conditions. The performance of the proposed SSA is tested under a transition between uniform irradiances and a transition between partial shading (PS) conditions with a focus on convergence speed, fast and accurate tracking, reduce high initial exploration oscillation, and low steady-state oscillation at MPP. Simulation results demonstrate the superiority of the proposed SSA algorithm in terms of tracking performance. The performance of the SSA method is better than the conventional (hill-climbing) and among other popular metaheuristic methods. Further validation of the SSA performance is conducted via experimental studies involving a DC-DC buck-boost converter driven by TMS320F28335 DSP on the Texas Instruments Experimenter Kit platform. Hardware results show that the proposed SSA method aligns with the simulation in terms of fast-tracking, convergence speed, and satisfactory accuracy under PS and dynamic conditions. The proposed SSA method tracks maximum power with high efficiency through its superficial structures and concepts, as well as its easy implementation. Moreover, the SSA maintains a steady-state oscillation at a minimum level to improve the overall energy yield. It thus compensates for the shortcomings of other existing methods.

38 citations

Journal ArticleDOI
TL;DR: The algorithms, modeling techniques, and control topologies of photovoltaic array systems are explored and the hybrid MPPT algorithms are discussed to present its effectiveness in tracking the maximum power point (MPP).
Abstract: The maximum power point tracking (MPPT) algorithms are used in PV power generation systems to handle the effect due to the partially shaded conditions. This paper confers the algorithms, modeling techniques, and control topologies of photovoltaic (PV) array systems are explored. The problems with conventional MPPT algorithms can be solved by applying various modern optimization algorithms that extract the maximum power from the solar panels. Various reliable techniques are discussed to identify the maximum power point globally. However, each method has advantages and limitations and, this paper presents reviews and findings from the existing optimized methods. The optimized algorithms presented in the various literatures are studied and analyzed. The hybrid MPPT algorithms are also discussed to present its effectiveness in tracking the maximum power point (MPP). The challenges in selecting a proper algorithm for partially shaded PV array are deliberated. Finally, the comparison between the standalone algorithms and the hybrid algorithms are presented for future research.

28 citations

Proceedings ArticleDOI
01 Oct 2017
TL;DR: In this article, a comparison of FPA (Flower Pollination Algorithm), MPSO (Modified Particle Swarm Optimization), and P&O (Perturb and Observe) methods in MPPT coupled inductor SEPIC converter on DC Microgrid Isolated System.
Abstract: Renewable energy becomes very important because energy requirement can't always depend on fossil energy. Renewable energy such as solar energy is a great natural energy that can be utilized in the morning until the afternoon. Unfortunately, The problem of the output power in solar energy such as Photovoltaic (PV) is influenced by irradiation and temperature that can change suddenly. The output power released by PV depends on the value of irradiation and the temperature forming P-V and I-V characteristic curves. The maximum power output on the PV characteristic curve can be achieved using the MPPT algorithm. MPPT algorithm widely developed from conventional Algorithm up to AI algorithm. Hence, in this paper discussed the comparison of FPA (Flower Pollination Algorithm), MPSO (Modified Particle Swarm Optimization), and P&O (Perturb and Observe) methods in MPPT coupled inductor SEPIC converter on DC Microgrid Isolated System. Sepic converter used to reduce ripple current in part of input. Furthermore, simulated performance experiments show that all three methods were able to find the maximum power point with an accuracy greater than 95%. The simulation results show that the FPA method is superior compared to the MPSO and P&O methods.

22 citations


Cites methods from "FPA based approach for solar maximu..."

  • ...The MPPT method is very rapidly evolving from conventional methods [12-16] to artificial Intelligence methods [1-5] [8-10] [17-23]....

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Proceedings ArticleDOI
01 Sep 2017
TL;DR: An artificial intelligence method Flower Pollination Algorithm (FPA) is proposed as search optimization method using coupled inductor SEPIC converter with the maximum efficiency 99.99%.
Abstract: Storaci-Output of PhotoVoltaie (PV) under dynamic weather conditions can be maximize with tracking system. Tracking system that used in this research is static tracking using MPPT technique (Maximum Power Point Tracking). MPPT is system that help to maximize the output power of solar PV using changes of duty cycle switching in the converter into the correct value. There are so many MPPT method and it can be divided into 2 methods that is conventional method and artificial intelligence method. The most commonly use is conventional method because this method is very simple in implementation but still has weakness that is slow response and the output voltage always oscillating around MPP. Hence, in this paper, an artificial intelligence method Flower Pollination Algorithm (FPA) is proposed. This method has advantages compare to the conventional method that are faster in achieving maximum power, less oscillation around MPP and great tracking efficiency. The uses of dc-dc converter in MPPT always make the presence of ripple content in input current, so to avoid this ripple content current, a Coupled Inductor SEPIC converter is proposed here. Moreover, the efficiency of the converter is improved by using coupled inductor. So, in this research will propose FPA as search optimization method using coupled inductor SEPIC converter with the maximum efficiency 99.99%.

18 citations

Book ChapterDOI
01 Jan 2020
TL;DR: To mitigate the problems of original FPA, a modified algorithm namely adaptive FPA (AFPA) has been proposed, a four-fold population division has been followed for both global and local search phases, and simulation results clearly indicate the superior performance of AFPA in optimizing LAA.
Abstract: Flower pollination algorithm (FPA) is an evolutionary nature-inspired optimization technique, which mimics the pollinating behavior of flowers. FPA has a simple structure and has been applied to numerous problems in different fields of research. However, it has been found that it has poor exploration and exploitation capabilities. In this paper, to mitigate the problems of original FPA, a modified algorithm namely adaptive FPA (AFPA) has been proposed. In the modified algorithm, a four-fold population division has been followed for both global and local search phases. Moreover, to balance the local and global search, switching probability has been decreased exponentially with respect to iterations. For experimental testing, this algorithm has been further applied to antenna design problems. The aim is to optimize linear antenna array (LAA) in order to achieve minimum SLL in the radiation pattern to avoid antenna radiation in the undesired directions. The results of the proposed algorithm for same problems are compared with the results of popular algorithms such as particle swarm optimization (PSO), tabu search (TS), self-adaptive differential evolution (SADE), Taghchi’s method (TM), cuckoo search (CS), and biogeography-based optimization (BBO). The simulation results clearly indicate the superior performance of AFPA in optimizing LAA.

16 citations

References
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Journal ArticleDOI
TL;DR: Simulation and hardware implementation of incremental conductance maximum power point tracking (MPPT) used in solar array power systems with direct control method and results indicate the feasibility and improved functionality of the system.
Abstract: This paper presents simulation and hardware implementation of incremental conductance (IncCond) maximum power point tracking (MPPT) used in solar array power systems with direct control method. The main difference of the proposed system to existing MPPT systems includes elimination of the proportional-integral control loop and investigation of the effect of simplifying the control circuit. Contributions are made in several aspects of the whole system, including converter design, system simulation, controller programming, and experimental setup. The resultant system is capable of tracking MPPs accurately and rapidly without steady-state oscillation, and also, its dynamic performance is satisfactory. The IncCond algorithm is used to track MPPs because it performs precise control under rapidly changing atmospheric conditions. MATLAB and Simulink were employed for simulation studies, and Code Composer Studio v3.1 was used to program a TMS320F2812 digital signal processor. The proposed system was developed and tested successfully on a photovoltaic solar panel in the laboratory. Experimental results indicate the feasibility and improved functionality of the system.

974 citations


"FPA based approach for solar maximu..." refers methods in this paper

  • ...Among the conventional MPPT methods the most popular methods are Perturb and Observe (P&O) [2], Hill Climbing (HC) [3] and Incremental conductance(IC) [4] method....

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Journal ArticleDOI
TL;DR: In this article, a design example is presented by experimental implementation of the proposed technique and practical results for the implemented setup at different irradiance levels are illustrated to validate the proposed scheme.
Abstract: Solar photovoltaic (PV) energy has witnessed double-digit growth in the past decade. The penetration of PV systems as distributed generators in low-voltage grids has also seen significant attention. In addition, the need for higher overall grid efficiency and reliability has boosted the interest in the microgrid concept. High-efficiency PV-based microgrids require maximum power point tracking (MPPT) controllers to maximize the harvested energy due to the nonlinearity in PV module characteristics. Perturb and observe (PO second, no steady-state oscillations around the MPP; and lastly, no need for predefined system-dependent constants, hence provides a generic design core. A design example is presented by experimental implementation of the proposed technique. Practical results for the implemented setup at different irradiance levels are illustrated to validate the proposed technique.

774 citations


"FPA based approach for solar maximu..." refers methods in this paper

  • ...Among the conventional MPPT methods the most popular methods are Perturb and Observe (P&O) [2], Hill Climbing (HC) [3] and Incremental conductance(IC) [4] method....

    [...]

Journal ArticleDOI
TL;DR: In this article, a microprocessor-controlled tracker capable of online voltage and current measurements and programmed with both voltage-based and current-based MPPT algorithms is constructed, where the load of the solar system is either a water pump or a resistance.
Abstract: Detailed theoretical and experimental analyses are presented for the comparison of two simple fast and reliable maximum power point tracking (MPPT) techniques for photovoltaic systems (PV): the voltage-based (VMPPT) and the current-based (CMPPT) approaches. A microprocessor-controlled tracker capable of online voltage and current measurements and programmed with both VMPPT and CMPPT algorithms is constructed. The load of the solar system is either a water pump or a resistance. Simulink facilities are used for simulation and modeling of the novel trackers. The main advantage of this new MPPT, as compared with present trackers, is the elimination of reference (dummy) cells, which results in a more efficient, less expensive, and more reliable PV system.

761 citations


"FPA based approach for solar maximu..." refers methods in this paper

  • ...voltage [5] methods use parameters like mp mp oc V I V , , and sc I for locating MPP and also establish a non-linear relation with aforementioned parameters to reach MPP....

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Journal ArticleDOI
TL;DR: In this article, a fuzzy-logic controller for maximum power point tracking of photovoltaic (PV) systems is proposed, which improves the hill-climbing search method by fuzzifying the rules of such techniques and eliminates their drawbacks.
Abstract: A new fuzzy-logic controller for maximum power point tracking of photovoltaic (PV) systems is proposed. PV modeling is discussed. Conventional hill-climbing maximum power-point tracker structures and features are investigated. The new controller improves the hill-climbing search method by fuzzifying the rules of such techniques and eliminates their drawbacks. Fuzzy-logic-based hill climbing offers fast and accurate converging to the maximum operating point during steady-state and varying weather conditions compared to conventional hill climbing. Simulation and experimentation results are provided to demonstrate the validity of the proposed fuzzy-logic-based controller.

578 citations


"FPA based approach for solar maximu..." refers methods in this paper

  • ...Because of continuous steady state oscillations, poor convergence, loss of stability in Fibonacci method the researchers shifted their focus towards artificial intelligent techniques like Fuzzy logic control (FLC) [8], and Artificial Neural Networks (ANN) [9] methods....

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Journal ArticleDOI
TL;DR: The main techniques that will be deliberated are the Perturb and Observe, Incremental Conductance and Hill Climbing, as well as the more recent MPPT approaches using soft computing methods such as Fuzzy Logic Control, Artificial Neural Network and Evolutionary Algorithms.
Abstract: This paper presents a review on the state-of-the-art maximum power point tracking (MPPT) techniques for PV power system applications. The main techniques that will be deliberated are the Perturb and Observe, Incremental Conductance and Hill Climbing. The coverage will also encompass their variations and adaptive forms. In addition, the more recent MPPT approaches using soft computing methods such as Fuzzy Logic Control, Artificial Neural Network and Evolutionary Algorithms are included. Whilst the paper provides as thorough treatment of MPPT at normal (uniform) insolation, its focus will be on the applications of the abovementioned techniques during partial shading conditions. It is envisaged that this review work will be a source of valuable information for PV professionals to keep abreast with the latest progress in this area, as well as for new researchers to get started on MPPT.

508 citations