Hierarchical Aggregation-Embedded Emergency Scheduling of Coupled Electricity-Watershed Networks With Heterogeneous Flexibility Resources Under Extreme Drought Events

This paper proposes a dynamic aggregation- embedded emergency scheduling strategy to coordinate massive heterogeneous flexibility resources of electricity and watershed networks for mitigating power shortages under drought events. Firstly, a thermodynamic model of coupled electricity-watershed networks is formulated to express risk interdependencies of power shortage and water curtailments under high-temperature climates. Then, a hypercube multi-directional inner approximation projection method is developed to evaluate variable water-dependent power dispatchable regions caused by strong couplings and heterogeneity of flexibility resources. Furthermore, a hierarchical interactive emergency scheduling strategy is proposed for coordinated water-energy flexibility enhancement within dynamic aggregated dispatchability boundaries. The proposed strategy has been fully tested and benchmarked on a practical 143-node distribution network coupled with a 14-junction watershed system to validate the effectiveness in mitigating load loss and water curtailments under drought disasters.