Optimal energy management for a grid connected PV-battery system. (February 2020)

• Record Type: Journal Article
• Authors: Chakir, Asmae; Tabaa, Mohamed; Moutaouakkil, Fouad; Medromi, Hicham; Julien-Salame, Maya; Dandache, Abbas; Alami, Karim
• Is Part Of: Energy reports. Volume 6(2020)Supplement 3
• Page Start: 218
• Page End: 231
• Publication Date: 2020-02
• Subjects: Renewable energy -- PV-battery -- Hybrid renewable system -- Energy management -- Hybrid architecture; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2019.10.040
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: The increase demand for electricity and the non-renewable nature of fossil energy makes the move towards renewable energies required. However, the common problem of renewable sources, which is the intermittence, is overcome by the hybridization of complementary sources. Thus, whenever the load demand is not fully covered by the primary source, the second one will absolutely support it. Furthermore, the production, the interaction with the grid and the storage system must be managed by the grid-connected hybrid renewable energy system, which is the main objective of this paper. Indeed, we propose a new system of a grid-connected PV-battery, which can manage its energy flows via an optimal management algorithm. The DC bus source connection topology in our proposed hybrid architecture tackles the synchronization issues between sources when the load is powered. We consider in this work that choosing a battery discharge and charge limiting power provides an extension of the battery life. On the other hand, we simulated the dynamic behavior of the architecture's various components according to their mathematical modeling. Following this, an energy management algorithm was proposed, and simulated using MATLAB/SIMULINK to serve the load. The results have shown that the load was served in all cases, taking into account the electrical behavior of the inhabitants as well as the weather changes on a typical day. Indeed, the load was served either by instant solar production between sunrise and sunset, or the recovery from sunset to 10pm, which could be a stored or injected energy without exceeding the 1000W per hour.