2016/07/22 by Katayoun Rahbar, Rahbar, Katayoun, Mohammad R. Vedady Moghadam +5
Computer Science · Engineering · #Advanced Data Storage Technologies #Caching and Content Delivery #FOS: Electrical engineering #Microgrid Control and Optimization #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1607.06581
openalex publication_date 2016/07/22 · openalex created_date 2022/09/27 · openalex updated_date 2026/07/28
Energy storage systems (ESSs) are essential components of the future smart\ngrid to smooth out the fluctuating output of renewable energy generators.\nHowever, installing large number of ESSs for individual energy consumers may\nnot be practically implementable, due to both the space limitation and high\ninvestment cost. As a result, in this paper, we study the energy management\nproblem of multiple users with renewable energy sources and a single shared\nESS. To solve this problem, we propose an algorithm that jointly optimizes the\nenergy charged/discharged to/from the shared ESS given a profit coefficient set\nthat specifies the desired proportion of the total profit allocated to each\nuser, subject to practical constraints of the system. We conduct simulations\nbased on the real data from California, US, and show that the shared ESS can\npotentially increase the total profit of all users by 10% over the case that\nusers own individual small-scale ESSs with no energy sharing.\n