International Research Journal of Engineering and Technology (IRJET) Volume: 10 Issue: 05 | May 2023
www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
PHOTOVOLTAIC BASED ELECTRIC VEHICLE USING MAXIMUM POWER POINT TRACKING Jessline Jebahena A 1,Thai Subha2 1Scholar, Department of Electrical and Electronics Engineering, Vel Tech Multi Tech Dr. Rangarajan Dr.
Sakunthala Engineering College,Chennai,
2Professor, Department of Electrical and Electronics Engineering Vel Tech Multi Tech Dr. Rangarajan Dr.
Sakunthala Engineering College, Chennai, ------------------------------------------------------------------------***--------------------------------------------------------------------
Abstract- This project proposes a stochastic model
maximum power transfer only when the internal resistances should be equalized so as to load the resistance. Therefore, a maximum power point tracking (MPPT) is needed to solve the PV system’s non-linear behaviour and the injection of maximum PV power into the load through a DC-DC converter, which is controlled by regulating duty ratio through maximum power point tracking (MPPT) algorithms.
predictive controller (MPC).. The modified MPC minimizes the oscillation which provides a rapid search method to track global maximum power point (GMPP) in a lesser period. The MPC based maximum power point tracking (MPPT) technique provides tracking of MPC with zero oscillations and high PV power tracking under rapid weather fluctuations. The MPC technique acquires MPC and provides soft tuning of parameters to achieve high PV power tracking with zero oscillations around GMPP. Finally provides optimal PV power tracking with accurate efficiency, fast convergence velocity, and less computational period. This topology is modelled and its response is manifested through simulation studies using MATLAB/Simulink under different atmospheric conditions. Rule-based control approach and the MPC optimization algorithm are used to allocate power in a hybrid energy storage system (HESS) in a reasonable manner. Finally, the findings reveal greater efficiency in tracking the solar power and the suggested Energy Management system (EMS) has a lower energy consumption rate and battery deterioration rate.
1.1. Existing system: Many research studies examined other MPPT methods. In this work, the PSO-MPPT method was used in more than one application. The procedure of this method is shown. After setting the PSO configuration, the algorithm will then start searching for the best duty cycle corresponding to the global best position of the i^th particle. So, with the first particle, we will apply the corresponding duty cycle which is randomly chosen in this case. Then, the measured output PV voltage and current will be thus used for calculating the related PV power output. This value will be stored and nominated. With the same strategy, the algorithm will compare the obtained power value to the global best power value. If this new one is better, it will be then be affected by the new global best position value. This action will not finish unless all the particles are tested. Then, each particle will change its position and velocity, and these steps will be repeated until the convergence criterion is obtained.
Keywords: Model Predictive Control (MPC),Maximum Power Point Tracking (MPPT), Global Maximum Power Point (GMPP), Photovoltaic (PV), Electric Vehicle
I. INTRODUCTION: Photovoltaic (PV)/ Battery hybrid energy storage systems have been thoroughly tested in electric vehicles (EVs), as this method of optimization can fulfil the needs of an EV, including high power /energy capacity, long battery life. The Energy Management strategies provide an effective but non-flexible approach to the issue of energy management, which basically applies the specified control principles through that of the given rules according to the operating modes of the converter which are used. The PV system behaviour is based on the PV charging procedure, which works under maximum power point (MPP) and generates PV power that can be transferred to load. The maximum power transfer theorem thus operates with the principle of
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1.2. Drawbacks of Existing system:
Analytical expressions for power losses (converter losses and cell losses) were used to produce variations in component failure rates that depend on the operating state of the system.
The overall cost of the system is high
1.3. Proposed system: The MPC based MPPT technique provides tracking of GMPP with zero oscillations and high PV
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