Optimization Scheduling Operation Strategy of AC-DC Hybrid Distribution Network Based on Generalized Power Source and Generalized Load

Amidst the extensive incorporation of renewable energy in power grids, the power system's supply-side volatility and randomness intensify, highlighting the dual contradiction between renewable energy curtailment and the system's power supply capability. The participation of flexible resources from sources, loads, and storage in scheduling is crucial for ensuring power supply reliability and renewable energy integration. Therefore, this paper proposes an optimization scheduling model for AC/DC hybrid distribution networks built on graph computation. First, it integrates spatiotemporal data from sources, networks, loads, and storage based on the definitions of generalized load and generalized power source. Second, it establishes a 24-hour sequential optimization scheduling model for flexible resources, considering both supply guarantee and integration goals. Finally, a simulation analysis is then carried out using AC/DC hybrid distribution network data with integrated flexible resources. The results show that integrating generalized load and generalized power source can improve the economic efficiency of power system scheduling, reducing power shortage rates and curtailment rates.