4 papers
Physics-guided Residual Learning for Probabilistic Power Flow Analysis
Kejun Chen, Yu Zhang
Probabilistic power flow (PPF) analysis is critical to power system operation and planning. PPF aims at obtaining probabilistic descriptions of the state of the system with stochas…
Real-Time Power System Event Detection: A Novel Instance Selection Approach
Gabriel Intriago, Yu Zhang
Instance selection is a vital technique for energy big data analytics. It is challenging to process a massive amount of streaming data generated at high speed rates by intelligent…
Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning
Kejun Chen, Yu Zhang
With an increasing high penetration of solar photovoltaic generation in electric power grids, voltage phasors and branch power flows experience more severe fluctuations. In this co…
Conic Relaxations for Power System State Estimation with Line Measurements
Yu Zhang, Ramtin Madani, Javad Lavaei
This paper deals with the non-convex power system state estimation (PSSE) problem, which plays a central role in the monitoring and operation of electric power networks. Given a se…