Two-stage Optimization for Active Distribution Systems Based on Operating Ranges of Soft Open Points and Energy Storage System

Due to the lack of flexible interconnection devices, power imbalances between networks cannot be relieved effectively. Meanwhile, increasing penetration distributed generators exacerbates temporal caused by large peak-valley load differences. To improve operational economy lowered spatiotemporal imbalances, this paper proposes a two-stage optimization strategy for active distribution (ADNs) interconnected soft open points (SOPs). The SOPs and energy storage system (ESS) are adopted transfer spatially temporally, respectively. In day-ahead scheduling stage, massive stochastic scenarios against uncertainty wind turbine output generated first. computational efficiency in scenarios, an equivalent model considering sensitivities node voltage branch current is established. introduction prevents violations current. Then, operating ranges (ORs) state charge (SOC) ESS obtained from models within networks, intraday corrective control based on ORs, receding-horizon that minimizes purchase cost electricity deviations established hour hour. Case studies two modified ADNs show proposed achieves balance with lower compared traditional strategies.