Abstract
Recently, the tendency towards employing a combined system for generating electricity has significantly increased. In this respect, the combination of a photovoltaic (PV) system and an energy storage system has captured the attention. In this respect, this paper develops a control system for a combined energy system, comprised of a PV and a battery in the grid-connected mode. There are several research works being carried out to exploit the highest power from PV systems, due to their high investment costs. An interesting and effective approach is utilizing a maximum power point tracking so-called “MPPT” algorithm for the PV panel to raise efficiency. This paper proposes the fuzzy logic controller (FLC) and the modified shuffled frog leaping algorithm (MSFLA) to optimally tune the parameters of the controller and follow the maximum power point (MPP). In this respect, an efficient theoretical framework has been developed for the MPPT algorithm to assess its performance under various conditions. Besides, a comprehensive comparison has been made to evaluate the model in different weather conditions, the method developed in this paper is associated with 99% efficiency while other methods result in 95%–97% efficiency with low speed at reaching the MPP that highlight the superior performance of the presented technique and other methods. Accordingly, the techniques studied are ranked as follows based on their performance: MSFLA-FLC > FLC > IC > P&O while their response times are 0.13s, 0.18s, 0.26s and 0.32s,respectively.
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•Combination of a photovoltaic system and an energy storage system.•Proposing the fuzzy logic controller (FLC) and the modified shuffled frog leaping algorithm (MSFLA) for MPPT.•Desirable results compared to other approaches in terms of the transient and steady-state performance.•Effective power flow plan between the grid and the combined energy system.