A Biological Swarm Chasing Algorithm for Tracking the PV Maximum Power Point

Chen, Liang-Rui; Tsai, Chih-Hui; Lin, Y. W.; Lai, Yen-Shin

doi:10.1109/tec.2009.2038067

Cited by 121 publications

(18 citation statements)

References 27 publications

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“…However, perturbations in the zero slope state can still occur. Although some other tracking algorithms, such as fuzzylogic [5], neural-network [6] and swarm chasing [7], exhibit precise tracking capability, these algorithms are very complicated. In addition to the above methods, the fractional open circuit voltage and short current methods have also been proposed.…”

Section: Highly Preferred Methods For Mppt In Pv Systemmentioning

confidence: 99%

Survey on MPPT Techniques in Photovoltaic Solar Energy Systems

Singh¹

2015

IJAREEIE

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ABSTRACT-_Tracking of the maximum power point of a photovoltaic array is usually an essential part of PV systems. In general, PV generation systems have two major problems; the conversion efficiency of electric power generation is low, and the amount of electric power generated by solar arrays changes continuously with weather conditions. Moreover, the solar cell I-V characteristic is nonlinear and varies with irradiation and temperature. There is a unique point on the I-V or P-V curve of the solar array called MPP, at which the entire PV system operates with maximum efficiency and produces its maximum output power. The location of the MPP is not known, but can be located, either through calculation models, or by search algorithms. Therefore MPPT techniques are needed to maintain the PV array"s operating point at its MPP. In this paper, some of the most popular techniques are surveyed which are used in their work by most of the authors.

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Section: Highly Preferred Methods For Mppt In Pv Systemmentioning

confidence: 99%

Survey on MPPT Techniques in Photovoltaic Solar Energy Systems

Singh¹

2015

IJAREEIE

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“…Under any operating point, the load resistance can be calculated by substituting the duty cycle, voltage, and current of PV module into (5). After the value of load resistance is obtained, (5) can be rewritten into (7).…”

Section: ……………(5)mentioning

confidence: 99%

“…Until the difference in power (dP) is smaller than 0.06, only then the conventional algorithm is applied. Meanwhile, for load variation, the new duty cycle is calculated by using (7) after the resistance of the load is obtained by (5). Sampling time for the MPPT controller is 0.05 s, Simulation time is 2 s, and solar irradiation level varies from low (0.4kW/m2) to high (1.0kW/m2 in order to investigate the performance of the system under fast-varying solar irradiation level.…”

Section: B Increase In Solar Irradiation Levelmentioning

confidence: 99%

A Fast-Converging MPPT Technique for Photovoltaic System with Modified SEPIC Converter under Fast- Varying Solar Irradiation and Load Resistance

Sugathan¹,

Vijayan²

2015

IJAREEIE

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A fast-converging maximum power point tracking (MPPT) system is very essential for the photovoltaic (PV) system to ensure the rapid response with minimum power losses under fast-varying solar irradiation and load resistance. Traditionally, maximum power point (MPP) locus was used to provide such a fast response. However, the algorithm requires extra control loop or intermittent disconnection of the PV module. Hence, this paper proposes a simpler fast-converging MPPT technique, which excludes the extra control loop and intermittent disconnection. In the proposed algorithm, the relationship between the load line and the I-V curve is used with trigonometry rule to obtain the fast response. Results of the simulation and experiment using Modified SEPIC converter(which provide more static gain than simple SEPIC converter) showed that the response of the proposed algorithm is four times faster than the conventional incremental conductance algorithm during the load and solar irradiation variation. Consequently, the proposed algorithm has higher efficiency. KEYWORDS:. Fast converging, incremental conductance, maximum power point tracking (MPPT), photovoltaic (PV) system, Modified SEPIC. I.INTRODUCTIONSolar energy is gaining popularity in the field of electricity generation. The advantages of solar power, such as no air pollution, no fuel costs, noiseless, and low maintenance, have boosted the demand on this type of energy However; the high expense in acquiring the photovoltaic (PV) module has slowed down the adoption of PV system in electricity generation. Furthermore, the power of PV modules is unstable and strongly dependent on solar irradiation and load. Hence, the maximum power point tracking (MPPT) controller is introduced to ensure the PV system always provide high efficiency despite the variation in solar irradiation and load resistance.Many MPPT algorithms have been introduced to improve the efficiency of the PV system, including fractional open circuit voltage, fractional short circuit current, fuzzy logic, neural network, hill climbing or perturbation and observation (P&O), and incremental conductance. Among those algorithms, P&O and incremental conductance are the most popular algorithms. If a dc-dc converter is connected in between the PV module and the load, the switching duty cycle of the dc-dc converter is regulated to ensure the PV system always operates at the maximum power point (MPP) . For P&O, the power of the PV module is determined, and then the duty cycle of the converter is either increased or decreased to achieve the MPP. Generally, the perturbation keeps going in both directions near the MPP, and thus, oscillations occur in the power of PV module. Unlike P&O, the slope of the power-against-voltage (P-V ) curve of PV module is used by the incremental conductance algorithm to vary the duty cycle of the converter .By varying the duty cycle of the converter, the voltage of the PV module is able to be increased or decreased and thus the PV system is able to operate at the peak of the P-V cu...

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“…Commonly, the MPPTs observe the PV parameters and produce control signal to power converters [6]. The conventional methods are the short circuit current method, the stable voltage method, the hill climbing method, incremental conductance method and the perturb and observe method [7]. Due to simplicity, easy execution, and low cost of the conventional methods, they are directly used in practical applications.…”

Section: Introductionmentioning

confidence: 99%