Distributed Source-Load-Storage Cooperative Low-carbon Scheduling Strategy Considering Vehicle-to-grid Aggregators

• DOI: 10.35833/mpce.2023.000742
• Publication Date: 2024-03-26T05:29:35Z
• Authors: Xiao Xu; Ziwen Qiu; Teng Zhang; Hui Gao
• Keywords: TK1001-1841; power flexibility; 0211 other engineering and technologies; TJ807-830; 02 engineering and technology; low-carbon scheduling; Renewable energy sources; Production of electric energy or power. Powerplants. Central stations; mobile storage system; Electric vehicle (EV); Nash bargaining; alternating direction method of multipliers (ADMM)

The vehicle-to-grid (V2G) technology enables the bidirectional power flow between electric vehicle (EV) batteries and grid, making EV-based mobile energy storage an appealing supplement to stationary systems. However, stochastic volatile charging behaviors pose a challenge for EV fleets engage directly in multi-agent cooperation. To unlock scheduling potential of EVs, this paper proposes source-load-storage cooperative low-carbon strategy considering V2G aggregators. uncertainty patterns is managed through rolling-horizon control framework, where horizons are adaptively adjusted according availability periods EVs. Moreover, Minkowski-sum based aggregation method employed evaluate aggregated within given horizon. This effectively reduces variable dimension while preserving discharging constraints individual Subsequently, Nash bargaining model involving distribution system operator (DSO), aggregator (EVA), load (LA) established maximize social welfare improve performance system. solved by alternating direction multipliers (ADMM) algorithm distributed manner, with privacy participants fully preserved. proposed proven achieve objective economic operation.