This paper presents a Model Predictive Direct Power Control (MPDPC) strategy for a grid-connected inverter used in a photovoltaic system, as found in many distributed generating installations. The controller uses a system model to predict the system behavior at each sampling instant. Using a cost function, the voltage vector with least power ripple is generated. The resultant voltage vector is applied during the next sampling period which gives flexible power regulation. The effectiveness of the proposed MPDPC strategy is verified using MATLAB/ SIMULINK.
Microgrids have emerged as a promising solution for accommodating the integration of renewable energ...
Due to the high demand of grid connected photovoltaic systems, there is a need to track the maximum ...
In this paper, we investigate a cooperative model predictive control for distributed photovoltaic (P...
This paper presents a model-predictive direct power control (MPDPC) strategy for a grid-connected in...
© 1972-2012 IEEE. This paper presents a model predictive direct power control strategy for a grid-co...
Due to the rapid decline of fossil resources and the impact of their use for electric power generati...
Abstract Because of system constraints caused by the external environment and grid faults, the conve...
As the penetration of renewable power generation units connected to the grid increases, high power q...
This paper presents a new control method to regulate various parameters such as voltage, current and...
Renewable energy sources, such as solar, wind, hydro, and biofuels, continue to gain popularity as a...
This paper presents a model predictive control (MPC) of a utility interactive (UI) single phase inve...
This paper presents a model predictive control (MPC) of a utility interactive three phase inverter (...
The grid integration of a photovoltaic solar system operating with maximum power point tracking is b...
The primary regulation of photovoltaic (PV) systems is a current matter of research in the scientifi...
Predictive control has attracted much attention and has been widely used in power electronics and el...
Microgrids have emerged as a promising solution for accommodating the integration of renewable energ...
Due to the high demand of grid connected photovoltaic systems, there is a need to track the maximum ...
In this paper, we investigate a cooperative model predictive control for distributed photovoltaic (P...
This paper presents a model-predictive direct power control (MPDPC) strategy for a grid-connected in...
© 1972-2012 IEEE. This paper presents a model predictive direct power control strategy for a grid-co...
Due to the rapid decline of fossil resources and the impact of their use for electric power generati...
Abstract Because of system constraints caused by the external environment and grid faults, the conve...
As the penetration of renewable power generation units connected to the grid increases, high power q...
This paper presents a new control method to regulate various parameters such as voltage, current and...
Renewable energy sources, such as solar, wind, hydro, and biofuels, continue to gain popularity as a...
This paper presents a model predictive control (MPC) of a utility interactive (UI) single phase inve...
This paper presents a model predictive control (MPC) of a utility interactive three phase inverter (...
The grid integration of a photovoltaic solar system operating with maximum power point tracking is b...
The primary regulation of photovoltaic (PV) systems is a current matter of research in the scientifi...
Predictive control has attracted much attention and has been widely used in power electronics and el...
Microgrids have emerged as a promising solution for accommodating the integration of renewable energ...
Due to the high demand of grid connected photovoltaic systems, there is a need to track the maximum ...
In this paper, we investigate a cooperative model predictive control for distributed photovoltaic (P...