Comparative analysis of MPPT techniques for PV applications

Brito, Moacyr A. G. de; Sampaio, Leonardo Poltronieri; Luigi, Gian; Melo, Guilherme A.; Canesin, Carlos A.

doi:10.1109/iccep.2011.6036361

Cited by 152 publications

(60 citation statements)

References 11 publications

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“…The system dimensioning and DC/AC controller tuning were presented in [28]. The AC/DC converter controls the PV voltage v pv via a perturb and observe MPPT algorithm [34], as well as the reactive power injected to the grid. The single-stage PV farm parameters are summarized in Table 1.…”

Section: Single-stage Pv Farm Modelmentioning

confidence: 99%

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Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation

et al. 2018

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Abstract:The share of photovoltaic (PV) farms is increasing in the energy mix as power systems move away from conventional carbon-emitting sources. PV farms are equipped with an expensive power converter, which is, most of the time, used well bellow its rated capacity. This has led to proposals to use it to provide reactive power support to the grid. In this framework, this work presents a step-by-step methodology to obtain the reactive power support capability map and the associated technical costs of single-and two-stage PV farms during daytime operation. Results show that the use of two-stage PV farms can expand the reactive power support capability for low irradiance values in comparison to single-stage ones. Besides, despite losses being higher for two-stage PV farms, the technical cost in providing reactive power support is similar for both systems. Based on the obtained maps, it is demonstrated how the profits of a PV farm can be evaluated for the current ancillary services policy in Brazil. The proposed method is of interest to PV farm owners and grid operators to estimate the cost of providing reactive power support and to evaluate the economic feasibility in offering this ancillary service.

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Section: Single-stage Pv Farm Modelmentioning

confidence: 99%

“…The AC/DC converter controls the DC voltage v dc and the reactive power injected to the grid. The DC/DC converter controls the PV voltage v pv via a perturb and observe MPPT algorithm [34]. The two-stage PV farm parameters are summarized in Table 2.…”

Section: Two-stage Pv Farm Modelmentioning

confidence: 99%

Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation

et al. 2018

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“…CHP uses gas as source and provides electricity and heat at the same time, and its operation can be represented by the hybrid thermal-electric load model in [16]. Maximum Power Point Tracking is applied to PV and PT units, so their maximum outputs vary along with solar power in real time [17]. The HP and EB use electricity to supply heat.…”

Section: Components and Connectionmentioning

confidence: 99%

Economic optimization on two time scales for a hybrid energy system based on virtual storage

Yang

Guo

2018

J. Mod. Power Syst. Clean Energy

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This paper proposes an economic optimization method with two time scales for a hybrid energy system based on the virtual storage characteristic of a thermostatically controlled load (TCL). The optimization process includes two time scales in order to ensure accuracy and efficiency. Based on the forecast load and energy supply of the system, the first time scale is day-ahead economic operating optimization, carried out to determine the minimum operating cost for the whole day, and to find the period of greatest cost to which the second time scale optimization is applied. Using the virtual storage characteristic, the second time scale is short term detailed optimization carried out for these particular hours. By dispatching thermal load in this period and adjusting energy supply accordingly, we can find the optimal economic performance, and customer requests are taken into account to ensure satisfaction. A case study in Tianjin illustrates the effectiveness of this method and proves that a TCL can make a great contribution to improving the economic performance of a hybrid energy system.

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“…At low solar radiation levels, P-V graph of the solar panel is more flat which makes P&O algorithm to find the maximum power point more difficult. These drawbacks of the P&O algorithm triggered the use of IC method which yields better results in operating at maximum power point and rapidly changing weather conditions [12].…”

Section: Mppt Controllermentioning

confidence: 99%

Control of a Photovoltaic System Operating at Maximum Power Point and Constant Output Voltage under Different Atmospheric Conditions

Deveci¹,

Kasnakoğlu²

2015

IJCEE

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This paper focuses on the design, modelling and MATLAB simulation of photovoltaic (PV) panel, DC/DC converters, maximum power point tracker (MPPT), battery, PID controllers and other control algorithms for constant DC voltage output PV system. Overall system is modelled and simulated with MATLAB/Simulink-SimPowerSystems toolbox which is specifically developed to simulate electrical power systems. Commonly used conventional linearization methods are not available for PID controller design for such a system having cascaded pulse width modulation (PWM) switching DC/DC converters causing high nonlinearity, forcing the use of a new alternative technique based on simulated input/output data. PV system is simulated under different atmospheric conditions with variable temperature and irradiation levels, system performance and efficiency is evaluated and it is observed that the designed controllers are capable to operate PV panel at its maximum power point under different atmospheric conditions and provide constant DC voltage to the load while charging the battery with excess power.

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Comparative analysis of MPPT techniques for PV applications

Cited by 152 publications

References 11 publications

Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation

Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation

Economic optimization on two time scales for a hybrid energy system based on virtual storage

Control of a Photovoltaic System Operating at Maximum Power Point and Constant Output Voltage under Different Atmospheric Conditions

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