Optimal scheduling of distributed shared energy storage based on optimal SOC interval

• DOI: 10.3389/fenrg.2024.1444791
• Publication Date: 2025-02-18T04:11:22Z
• Authors: Tong Zhang; Liudong Zhang; Yan Chen; Zhiqiang Peng
• Keywords: optimization scheduling method; time coupling. (Min.5–Max. 8; distributed shared energy storage; the optimal SOC interval; multiple auxiliary services; A; General Works

Proposed within the framework of sharing economy, Shared Energy Storage (SES) aims to enhance efficiency Systems (ESS) and drive down costs. This study focuses on an innovative approach emphasize multifaceted utilization individual ESS units centralized use dispersed resources. Renewable Power Plants (REPPs) collaborate create SES pools, leveraging their assets. Beyond meeting needs REPPs, these resources are shared for ancillary services like Secondary Frequency Regulation (SFR) yield additional benefits. The paper delves into scheduling techniques SES. While conventional day-ahead robust optimization algorithms specify power output each period, they struggle adjust schedules due time-dependent constraints renewable energy state limitations. To address this, a distributed method based optimal operating intervals is proposed. introduces interval variable State Charge (SOC) traditional three-layer problem, effectively decoupling time-related constraints. Furthermore, novel Nested Column Constraint Generation (Nested C&CG) algorithm presented solve mathematical model. Lastly, revenue model grounded in cooperative game theory introduced, along with illustrative example showcasing efficacy proposed managing uncertainties.