Energy conversion unit with optimized waveform generation

Santos, Euzeli Cipriano dos; Sajadian, Sally

doi:10.1109/ias.2013.6682474

2013 IEEE Industry Applications Society Annual Meeting 2013

DOI: 10.1109/ias.2013.6682474

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Energy conversion unit with optimized waveform generation

Euzeli Cipriano dos Santos

Sally Sajadian

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Cited by 11 publications

References 99 publications

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Maximum power point tracking of grid connected photovoltaic system employing model predictive control

Shadmand

Mosa

Balog

et al. 2015

2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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This paper presents a maximum power point tracking (MPPT) technique using model predictive control (MPC) for single phase grid connected photovoltaic (PV) systems. The technique exhibits fast convergence, which is ideal for rapidly varying environmental conditions such as changing temperature or insolation or changes in morphology of the PV array itself. The maximum power of PV system is tracked by a high gain DC-DC converter and feeds to the grid through a seven-level inverter. Considering the stochastic behavior of the solar energy resources and the low conversion efficiency of PV cells, operation at the maximum possible power point is necessary to make the system economical. The main contribution of this paper is the development of incremental conductance (INC) method using two-step model predictive control. The multilevel inverter controller is based on fixed step current predictive control with small ripples and low total harmonic distortion (THD). The proposed MPC method for the grid connected PV system speeds up the control loop by sampling and predicting the error two steps before the switching signal is applied. As a result, more energy will be captured from the PV system and injected into grid particularly during partially cloudy sky. A comparison of the developed MPPT technique to the conventional INC method shows significant improvement in dynamic performance of the PV system. Implementation of the proposed predictive control is presented using the dSPACE DS1103.

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Maximum power point tracking of grid connected photovoltaic system employing model predictive control

Shadmand

Mosa

Balog

et al. 2015

2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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A harmonic constrained minimum energy controller for a single-phase grid-tied inverter using model predictive control

Shadmand

Balog

et al. 2015

2015 IEEE Energy Conversion Congress and Exposition (ECCE)

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Maximum power point tracking of photovoltaic systems using sensorless current-based model predictive control

Metry

Shadmand

Liu

et al. 2015

2015 IEEE Energy Conversion Congress and Exposition (ECCE)

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Energy conversion unit with optimized waveform generation

Cited by 11 publications

References 99 publications

Maximum power point tracking of grid connected photovoltaic system employing model predictive control

Maximum power point tracking of grid connected photovoltaic system employing model predictive control

A harmonic constrained minimum energy controller for a single-phase grid-tied inverter using model predictive control

Maximum power point tracking of photovoltaic systems using sensorless current-based model predictive control

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