Simulation and Analysis of MPPT Algorithms for Solar PV based Charging Station

ABSTRACT:

Maximum Power Point Tracking (MPPT) algorithms is conferred in this paper used in photovoltaic (PV) systems for changing temperature and irradiance conditions. The MPPT control is always combined with a DC-DC power converter to produce maximal power under differing metrological conditions. The boost converter is used along with the Maximum Power Point Tracking control system. Perturb and Observe (P&O) and Incremental Conductance algorithm (INC) are the two widely used algorithms for drawing maximal power from the photovoltaic source. Direct duty ratio control technique is used for both the algorithms. The system is modeled using MATLAB Simulink software. The simulation result of 50W PV module produced by the two algorithms are analysed and a comparative study is presented.

KEYWORDS:

  1. Maximum power point tracking (MPPT)
  2. MATLAB SIMULINK
  3. Photovoltaic (PV)
  4.  Perturb and Observe (P&O)
  5. Incremental conductance (INC)
  6. Duty ratio (D)

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

Fig.1. Block diagram of MPPT control

EXPECTED SIMULATION RESULTS:

Fig.2. Non-linear P-V and I-V curves for 1000 W/m2 at 25ᵒC

Fig.3. I-V and P-V curves for different irradiance values at 25ᵒC

Fig.4. Waveforms at irradiance values from 400 W/m2 – 800 W/m2 for a step time of 0.4 seconds at 25ᵒC

Fig.5. Waveforms at irradiance values from 800W/m2 – 1000 W/m2 for a step time of 0.4 seconds at 25ᵒC

Fig.6.Waveforms at irradiance values from 400 W/m2- 800 W/m2 for a step time of 0.4 seconds at 25ᵒC

Fig.7. Waveforms at irradiance values from 800 W/m2 -1000 W/m2 for a step time of 0.4 seconds at 25ᵒC

CONCLUSION:

A mathematical model of a 50W photovoltaic (PV) panel modeled with MPPT control algorithms is discussed in this paper. The Perturb and Observe algorithm, and Incremental conductance algorithm are explained and simulated using the MATLAB Simulink. Here the MPPT control is achieved by direct duty ratio control of the boost converter which is linked to the load for its maximum efficiency under varying temperature and irradiance values of solar PV panel. The Perturb and Observe (P&O) method is simple to implement. It has slow response during changing atmospheric conditions due to fixed step size and has a tendency of drifting the operating point towards the wrong side. These issues are addressed by using Incremental conductance method (INC) which has a better performance over Perturb and Observe algorithm. It has a faster response and is more efficient in tracking when the irradiance values are changing continuously. The steady-state performance of the photovoltaic control system are improved by using the MPPT algorithms.

REFERENCES:

[1] S.Mekhilef, “Performance of grid connected inverter with maximum power point tracker and power factor control, “International Journal of Power Electronics, vol. 1, pp. 49-62, 2008.

[2] Shridhar Sholapur, K. R. Mohan, T. R. Narsimhegowda,” Boost Converter Topology for PV System with Perturb And Observe MPPT Algorithm”,” IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), Volume 9, Issue 4 Ver. II (Jul – Aug. 2014), PP 50-56.

[3] Pallavi Bharadwaj, Vinod John, “Direct Duty Ratio Controlled MPPT Algorithm for Boost Converter in Continuous and Discontinuous Modes of Operation” Indian Institute of Science Bangalore, India.

[4] Hyeonah Park, Hyosung Kim,” PV cell modeling on single-diode equivalent circuit”.

[5] Bijit Kumar Dey, Imran Khan, Nirabhra Mandal, Ankur Bhattacharjee,” Mathematical Modelling and Characteristic analysis of Solar PV Cell”, Institute of Engineering & Management Kolkata, India.

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