5 papers
Dispatch-Embedded Long-Term Tail Risk Assessment and Mitigation via CVaR for Renewable Power Systems
Kai Kang, Feng Liu
Renewable energy (RE) generation exhibits pronounced seasonality and variability, and neglecting these features can lead to significant underestimation of long-term power system ri…
An Iterative Problem-Driven Scenario Reduction Framework for Stochastic Optimization with Conditional Value-at-Risk
Yingrui Zhuang, Lin Cheng, Ning Qi +2
Scenario reduction (SR) alleviates the computational complexity of scenario-based stochastic optimization with conditional value-at-risk (SBSO-CVaR) by identifying representative s…
On Decision-Dependent Uncertainties in Power Systems with High-Share Renewables
Yunfan Zhang, Yifan Su, Feng Liu
The continuously increasing renewable energy sources (RES) and demand response (DR) are becoming important sources of system flexibility. As a consequence, decision-dependent uncer…
Capacity Credit Evaluation of Generalized Energy Storage Considering Strategic Capacity Withholding and Decision-Dependent Uncertainty
Ning Qi, Pierre Pinson, Mads R. Almassalkhi +3
This paper proposes a novel capacity credit evaluation framework to accurately quantify the contribution of generalized energy storage (GES) to resource adequacy, considering both…
Problem-Driven Scenario Reduction Framework for Power System Stochastic Operation
Yingrui Zhuang, Lin Cheng, Ning Qi +2
Scenario reduction (SR) aims to identify a small yet representative scenario set to depict the underlying uncertainty, which is critical to scenario-based stochastic optimization (…