Simulation of variable incremental conductance method with direct control method using boost converter

Author(s):  
Himanshu Kumar ◽  
R. K. Tripathi
2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Amjad Ali ◽  
Wuhua Li ◽  
Xiangning He

A new simple moving voltage average (SMVA) technique with fixed step direct control incremental conductance method is introduced to reduce solar photovoltaic voltage (VPV) oscillation under nonuniform solar irradiation conditions. To evaluate and validate the performance of the proposed SMVA method in comparison with the conventional fixed step direct control incremental conductance method under extreme conditions, different scenarios were simulated. Simulation results show that in most cases SMVA gives better results with more stability as compared to traditional fixed step direct control INC with faster tracking system along with reduction in sustained oscillations and possesses fast steady state response and robustness. The steady state oscillations are almost eliminated because of extremely smalldP/dVaround maximum power (MP), which verify that the proposed method is suitable for standalone PV system under extreme weather conditions not only in terms of bus voltage stability but also in overall system efficiency.


2015 ◽  
Vol 9 (1) ◽  
pp. 452-458
Author(s):  
Yu Yunjun ◽  
Liu Tao ◽  
Wang Shisheng ◽  
Xin Jianbo ◽  
Ou Yang Haibing

The MPP of Photovoltaic power system undergoes migration or volatility under the influence of the external environments, especially light intensity changes. MPPT control is a very important method to increase the efficiency of the photovoltaic power generation system. But the existing variable step length incremental conductance method would produce misjudgment or even tracking failure when outside light intensity mutations. A variable step length incremental conductance MPPT control method based on power prediction has been proposed. This involves modeling, simulation and comparison of the different methods in the Matlab/Simulink environment. The proposed method can not only avoid misjudgments but can also track the MPP efficiently, improving the control accuracy compared with the variable step length incremental conductance method.


2021 ◽  
Vol 10 (3) ◽  
pp. 1183-1192
Author(s):  
Zakaria Massaq ◽  
Abdelouahed Abounada ◽  
Mohamed Ramzi

In this work, an efficient control scheme for a double stage pumping system is proposed. On the DC side, a three-level boost converter is employed to maximize the photovoltaic power and to step-up the DC-link voltage. For maximum power point tracking, the classical incremental conductance method is substituted by a fuzzy logic controller. The designed controller estimates the optimal step size which speeds up the tracking process and improves the accuracy of the extracted photovoltaic power. Afterwards, the voltages across the three-level boost converter (TLBC) capacitors are balanced by phase shifting the applied duty ratios. On the motor pump side, a two-level inverter drives the motor pump with the cascaded nonlinear predictive control. The predictive controller is preferred over the conventional field-oriented control because it accelerates the torque response and resists to the change of the engine parameters. The designed controllers are evaluated using MATLAB/Simulink, and compared with the conventional controllers (incremental conductance algorithm and field-oriented control). The robust control scheme of the entire system has increased the hydraulic power by up to 23% during the system start-up and up to 10% in steady state.


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