9 citations · 21 across the 5 of their papers we have counts for
5 papers
Incorporating Gas Pipeline Leakage Failure Modes in Risk Evaluation of Electricity-Gas Integrated Energy Systems
Yi Tang, Yuan Zhao, Wenyuan Li +2
In the existing literatures for the risk evaluation of electricity-gas integrated energy system (EGIES), the impacts of gas leakage in pipelines are ignored. This paper presents a…
Data-Driven Assisted Chance-Constrained Energy and Reserve Scheduling with Wind Curtailment
Xingyu Lei, Zhifang Yang, Junbo Zhao +1
Chance-constrained optimization (CCO) has been widely used for uncertainty management in power system operation. With the prevalence of wind energy, it becomes possible to consider…
Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach
Xingyu Lei, Zhifang Yang, Juan Yu +3
This paper proposes a data-driven approach for optimal power flow (OPF) based on the stacked extreme learning machine (SELM) framework. SELM has a fast training speed and does not…
Fast Calculation of Probabilistic Optimal Power Flow: A Deep Learning Approach
Yan Yang, Juan Yu, Zhifang Yang +2
Probabilistic optimal power flow (POPF) is an important analytical tool to ensure the secure and economic operation of power systems. POPF needs to solve enormous nonlinear and non…
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach
Yan Yang, Zhifang Yang, Juan Yu +1
Probabilistic power flow (PPF) plays a critical role in power system analysis. However, the high computational burden makes it challenging for the practical implementation of PPF.…