Shared Energy Storage Management for Renewable Energy Integration in Smart Grid
Katayoun Rahbar, Mohammad R. Vedady Moghadam, Sanjib Kumar Panda, and, Thomas Reindl

TL;DR
This paper proposes a shared energy storage management algorithm for multiple renewable energy users in a smart grid, demonstrating a 10% profit increase over individual ESSs through simulations with real data.
Contribution
It introduces a joint optimization algorithm for shared ESS management among multiple users, addressing practical constraints and profit sharing in smart grids.
Findings
Shared ESS can increase total profit by 10% compared to individual ESSs.
The proposed algorithm effectively allocates charging/discharging to maximize profit.
Simulations based on California data validate the approach's effectiveness.
Abstract
Energy storage systems (ESSs) are essential components of the future smart grid to smooth out the fluctuating output of renewable energy generators. However, installing large number of ESSs for individual energy consumers may not be practically implementable, due to both the space limitation and high investment cost. As a result, in this paper, we study the energy management problem of multiple users with renewable energy sources and a single shared ESS. To solve this problem, we propose an algorithm that jointly optimizes the energy charged/discharged to/from the shared ESS given a profit coefficient set that specifies the desired proportion of the total profit allocated to each user, subject to practical constraints of the system. We conduct simulations based on the real data from California, US, and show that the shared ESS can potentially increase the total profit of all users by…
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