Abstract

Solar photovoltaic (PV) energy has met great attention in the electrical power generation field for its many advantages in both on and off-grid applications. The requirement for higher proficiency from the PV system to reap the energy requires maximum power point tracking techniques (MPPT). This paper presents an adaptive MPPT of a stand-alone PV system using an updated PI controller optimized by harmony search (HS). A lookup table is formed for the temperature and irradiance with the corresponding voltage at MPP (VMPP). This voltage is considered as the updated reference voltage required for MPP at each temperature and irradiance. The difference between this updated reference voltage at MPP and the variable PV voltage due to changing the environmental conditions is used to stimulate PI controller optimized by HS to update the duty cycle (D) of the DC–DC converter. The temperature, irradiance, and corresponding duty cycle at MPP are utilized to convert this MPP technique into an adaptive one without the PI controllers' need. An experimental implementation of the proposed adaptive MPPT is introduced to test the simulation results' validity at different irradiance and temperature levels.

Highlights

  • Solar photovoltaic (PV) energy has met great attention in the electrical power generation field for its many advantages in both on and off-grid applications

  • This paper introduced a new adaptive MPP technique for a standalone PV system

  • This technique is based on updating the reference voltage for maximum power point tracking techniques (MPPT) based on the environmental changes including irradiance and temperature

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Summary

Problem formulation

A lookup table (Table 1) consists of the temperature, irradiance and the corresponding voltage at MPP obtained from the characteristics is formed. This table is used for updating the reference voltage (VMPP_ref) for MPP at each temperature and irradiance. The PV voltage (Vpv) is sensed and compared to the updated reference voltage This error is minimized by HS optimization technique and used to stimulate the DC-DC chopper to track M­ PP36–39. This circuit comprises a light-dependent current source with a shunted ­diode[6,7]. The HS optimization technique is used to minimize this objective function and determine the optimal PI control parameters at each irradiance and temperature.

KpHMS KiHMS
Optimized PI controller
Parts Inductor Capacitor MOSFET Load MOSFET driver
Conclusions
Findings
Additional information

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