Optimal and Degradation-Aware Siting and Sizing of Battery Energy Storage Systems in PV-rich Distribution Networks
Project Details
- PhD Student(s): Jessica Korkmaz
- LAU Supervisor(s): Dr. Raymond Ghajar and Dr. Nagham El Ghossein
- Start Date: Dec 1, 2025
- Host Institution: University of Claude Bernard Lyon 1
- Department: Electrical & Computer
Abstract
With the growing environmental concerns of air pollution and global warming as well as the advances in PV technology and scalability of PV systems, there has been a huge increase in the penetration and usage of PV DGs in distribution networks, mainly in countries with high solar potential like Lebanon. However, this outgrowing trend is impacting the safe and reliable operation of distribution grids. Hence, the importance of developing methodologies to render the integration of PV DGs into distribution networks more reliable and economically feasible. With the increase in the penetration of PV DGs in distribution networks, BESSs become a crucial contributor to resolving the challenges pertaining to the unpredictable nature of PV energy. By absorbing excess PV generation and supplying energy during hours of peak demand, BESSs can enhance the voltage stability, reduce the power losses and increase the system’s reliability. However, these benefits can only be realized if the BESSs are properly allocated in the network. Hence, developing methodologies for the optimal siting and sizing of BESSs is essential to maximize the benefits that they have on the distribution networks. The strategic integration of the BESSs in distribution network as a solution measure to mitigate the negative impacts emanating from the high penetration of PV DGs requires the determination of several important parameters such as the locations and sizes of the BESSs, the configuration to adopt (centralized vs. distributed), the BESS technology that would be best suited for this type of application as well as the BESS model to consider. The objective of this research is to develop a degradation-aware optimal siting and sizing methodology for BESSs in PV-rich distribution networks. This methodology will rely on a multiple-stacked service optimization that accounts for technical, economic and environmental objectives. Furthermore, this multi-objective optimization will include BESS degradation models derived from experimental aging tests performed on several battery technologies.