Abstract
Energy structures from non-conventional energy source has become highly demanded nowadays. In this way, the maximum power extraction from photovoltaic (PV) systems has attracted the attention, therefore an optimization technique is necessary to improve the performance of solar systems. This article proposes the use of ABC (artificial bee colony) algorithm for the maximum power point tracking (MPPT) of a PV system using a DC-DC converter. The procedure of the ABC MPPT algorithm is using data values from PV module, the P-V characteristic is identified and the optimal voltage is selected. Then, the MPPT strategy is applied to obtain the voltage reference for the outer PI control loop, which in turn provides the current reference to the predictive digital current programmed control. A real-time and high-speed simulator (PLECS RT Box 1) and a digital signal controller (DSC) are used to implement the hardware-in-the-loop system to obtain the results. The general system does not have a high computational cost and can be implemented in a commercial low-cost DSC (TI 28069M). The proposed MPPT strategy is compared to the conventional perturb and observe method, results show the proposed method archives a much superior performance.
Highlights
T HE high use of generators, loads and storage systems to the main grid, turns the energy transformation more challenging, and so control objectives are demanded according to the needs of modern electrical systems [1], [2]
PLECS simulations and hardware in the loop (HIL) tests are run to assess the effectiveness of the artificial bee colony (ABC) maximum power point tracking (MPPT) algorithm using a DC-DC boost converter
This values demonstrate a higher performance of the proposed MPPT method in comparison to the perturb and observe (P&O) method during the start-up, where the ABC MPPT algorithm has a higher tracking factor, the mean power tracked value is close to the power global maximum and the setting times is significantly shorter than the P&O strategy
Summary
T HE high use of generators, loads and storage systems to the main grid, turns the energy transformation more challenging, and so control objectives are demanded according to the needs of modern electrical systems [1], [2]. The different control loops of the system are evaluated by hardware-in-the-loop (HIL) tests Another contribution of this work is the performance comparison of the ABC MPPT algorithm and the conventional perturb and observe strategy under a temperature and irradiance profile. Based on this state-ofthe-art review, the main contributions of this paper are the following. Each of the proposed controllers ensure fast tracking of the control set-points, low steady state error under demanding tests that include system start-up, irradiance variations and irradiance and ambient temperature profile The implementation of these loops allows independent and fast dynamic response of the system.
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