Energy Storage Optimization Planning for Resilience Enhancement under Extreme Events

Abstract

Frequent occurrence of extreme events caused serious losses to the power system. This paper takes typhoon disasters as an example to establish the optimal planning model of energy storage system (ESS). The proposed model is a scenario-based two-stage stochastic MILP model. Fully considering the uncertainty of failure scenarios under typhoon and load, the first stage is to select the location and capacity of ESS with line hardening strategy under a limited budget; in the second stage, the charging and discharging strategy of ESS is optimized with distribution system operation strategies to minimize system losses and investment costs. The model is tested on a modified IEEE33 system. Results indicates that the combined planning of allocating ESS and hardening lines can significantly improve resilience of distribution system under extreme events.