Stochastic Economic Dispatch with Battery Energy Storage considering Wind and Load Uncertainty

With the integration of renewable energy resources in power systems, managing operational flexibility and reliability while minimizing operational costs has become increasingly challenging. Battery energy storage system (BESS) offers a promising solution to address these issues. This paper presents a stochastic dynamic economic dispatch with storage (SDED-S) framework to assess the impact of BESS in managing uncertainty. The temporal correlation between wind and load uncertainties is captured, with scenarios generated using a method inspired by stratified and importance sampling. The proposed approach is demonstrated on a modified IEEE 39-bus system, where selected conventional generators are converted to wind power plants. Case studies show that strategic BESS deployment significantly improves system flexibility by reducing renewable curtailments and dispatch costs. Renewable energy curtailments decrease upon increasing BESS size and approach zero depending on wind penetration level. Higher wind penetrations result in greater curtailments without storage and yield larger cost savings when BESS is deployed, highlighting the growing need for flexibility as renewable energy penetrations increase.