MPPT of photovoltaic systems using extremum - seeking control

Leyva, R.; Alonso, Corinne; Queinnec, Isabelle; Cid-Pastor, A.; Lagrange, Denis; Martínez-Salamero, L.

doi:10.1109/taes.2006.1603420

Cited by 265 publications

(114 citation statements)

References 15 publications

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“…The ESC method based MPPT has been proposed to reduce the oscillations at steady state point and to track an extremum value on P-V characteristics (Leyva et al 2006). Based on ESC method, the other technique proposed is the sinusoidal ESC (SESC) (Leyva et al 2012).…”

Section: Scalar Gradient Based Extremum Seeking Control (Sgesc)mentioning

confidence: 99%

“…An artificial bee colony optimization technique based MPPT controller has been implemented in (Fathy et al 2015) to track the GMPP and to mitigate power loss in shaded modules of PV array. An extremum seeking control (ESC) system proposed in (Leyva et al 2006), is a self-tuning algorithm and it has been implemented to reduce the oscillations at MPP. The existing ESC based algorithms are adaptive ESC (Li et al 2013), ripple based ESC (Bazzi et al 2011), multivariable newton based ESC (Ghaffari et al 2014), fractional order ESC (Malek et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation

Naick

Chatterjee

2017

Int. J. Renew. Energy Dev.

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Photovoltaic (PV) system is one of the reliable alternative sources of energy and its contribution in energy sector is growing rapidly. The performance of PV system depends upon the solar insolation, which will be varying throughout the day, season and year. The biggest challenge is to obtain the maximum power from PV array at varying insolation levels. The maximum power point tracking (MPPT) controller, in association with tracking algorithm will act as a principal element in driving the PV system at maximum power point (MPP). In this paper, the simulation model has been developed and the results were compared for perturb and observe, incremental conductance, extremum seeking control and fuzzy logic controller based MPPT algorithms at different irradiation levels on a 10 KW PV array. The results obtained were analysed in terms of convergence rate and their efficiency to track the MPP.Article History: Received 3rd Oct 2016; Received in revised form 6th January 2017; Accepted 10th February 2017; Available onlineHow to Cite This Article: Naick, B. K., Chatterjee, T. K. & Chatterjee, K. (2017) Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation. Int Journal of Renewable Energy Development, 6(1), 65-74.http://dx.doi.org/10.14710/ijred.6.1.65-74

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Section: Scalar Gradient Based Extremum Seeking Control (Sgesc)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation

Naick

Chatterjee

2017

Int. J. Renew. Energy Dev.

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“…There are many tracking methods applied to different types of DC-DC converters [25]- [28]. The Extremum Seeking Control (ESC) is one of the popular MPPT algorithms which can control the PV system to approach the MPP by increasing or decreasing a suitable control signal, its block diagram is shown in Figure 3.…”

Section: B Maximum Power Point Tracking Techniquementioning

confidence: 99%

“…This key information will be sent to a logic circuit that can determine the next direction of maximum power point tracking control signal maintained or changed. In the last stage, the control signal of searching direction is introduced to an integrator to get the conductance g1 of first stage boost converter [23], [28]. For the voltage control at the terminal of cascaded boost converters, a PI controller is established to generate g2 as the conductance value of the second LFR.…”

Section: B Maximum Power Point Tracking Techniquementioning

confidence: 99%

Sliding mode control of a DC distributed solar microgrid

Shen

Izadian

2015

2015 IEEE Power and Energy Conference at Illinois (PECI)

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Abstract-This paper proposes a standalone distributed photovoltaic system which includes two independently controlled solar power sources, a battery storage and a resistive load. Each of the PV panels consist of cascaded DC-DC boost converters controlled through two independent sliding mode controllers. The design and simulation of the supervisory controller are also discussed. First, maximum power point tracking (MPPT) control strategy is introduced to maximize the simultaneous energy harvesting from both renewable sources. Then, according to the power generation available at each renewable source and the state of charge in the battery, four contingencies will be considered in the supervisory controller. Moreover, power converters interfacing the source and common DC bus will be controlled as voltage sources under a PI-sliding mode controller. Numerical simulations demonstrate accurate operation of the supervisory controller and functionality of the MPPT algorithm in each operating condition.

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“…To obtain highest power from the PV module the output voltage of a PV module should be controlled in a proper level as seen in Figure4. This is known as maximum power point tracking (MPPT) [5]- [7], [14]. Figure4.…”

Section: Characteristics Of Pv Modulementioning

confidence: 99%

Technical and Financial Analysis of Photovoltaic Water Pumping System for GORGAN, IRAN

Rezae

Gholamian

2013

IJCI

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Because of human need for energy, extra special attention is in the usage of renewable-energy sources in recent years. On the other hand, environmental pollution is created with fossil energy. Photovoltaic (PV) energy is also one of the renewable-energy sources that are available in almost all parts of the globe, especially in Iran. One application of this energy is in water pumping system. In this paper, we precede the technical and financial study on photovoltaic water pumping system for irrigation of GORGAN's farm fields (one of Northern Province of Iran) with the RETScreen software tools. In order to the results, it is obvious that the usage of this clean energy causes the reduction on production costs during of its operation.

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MPPT of photovoltaic systems using extremum - seeking control

Cited by 265 publications

References 15 publications

Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation

Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation

Sliding mode control of a DC distributed solar microgrid

Technical and Financial Analysis of Photovoltaic Water Pumping System for GORGAN, IRAN

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