Energy Reports (Jun 2024)
Recent sizing, placement, and management techniques for individual and shared battery energy storage systems in residential areas: A review
Abstract
Nowadays, the installation of renewable energy sources (RESs) is increasing rapidly in residential areas and is gaining growing interest. This is mainly due to the continuous increase in energy prices and the decrease of RESs installation costs for residential consumers. Among all these sources of green energy, solar and wind energy are the most dominants. The production of these two sources is strongly correlated to meteorological variables (e.g., solar radiation, wind) which are characterized by an intermittent nature. Therefore, the integration of these sources increases the concern of power quality in the electrical system. In order to mitigate this problem, battery energy storage systems (BESSs) were adopted as one of the viable solutions. Their fast response capability and geographical independence can improve energy efficiency and reliability in the power system. In addition to all these benefits, a BESS can further reduce consumer’s electricity bill by storing excess RESs’ generation and allowing price arbitrage. The high prices of BESSs and their high maintenance costs have manifested the installation of shared BESSs in residential communities. This type of installation is more financially advantageous to the consumers than the individual one by the fact that they share all the costs between them. However, for both types of installations, a proper planning must be done in order to determine the optimal characteristics of the BESS that will guarantee an optimal operation. This involves determining the optimal size, placement and operation of the BESS. Numerous methods have been proposed in literature to find the optimal planning and operation of individual and shared BESSs. This paper presents a comprehensive review in which recent planning and management approaches are analyzed. All studies included in this review are detailed and classified according to several criteria, such as the objective functions considered, the techniques used, and the limitations.
