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Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data
This paper presents a deep learning-based approach for hourly power outage probability prediction within census tracts encompassing a utility company's service territory.
Decentralized P2P Trading based on Blockchain for Retail Electricity Markets
This paper introduces peer to peer (P2P) trading mechanisms based on decentralized Blockchain to facilitate retail electricity market for ever-increasing distributed energy resources (DERs).
Distributed Anomaly Detection in Modern Power Systems: A Penalty-based Mitigation Approach
The evolving landscape of electric power networks, influenced by the integration of distributed energy resources require the development of novel power system monitoring and control architectures.
Contingency Detection in Modern Power Systems: A Stochastic Hybrid System Method
The framework uses stochastic hybrid system representations in state space models to expand and facilitate capability of contingency detection.
Stochastic Hybrid System Modeling and State Estimation of Modern Power Systems under Contingency
This paper formulates stochastic hybrid system models for MPSs, introduces coordinated observer design algorithms for state estimation, and establishes their convergence and reliability properties.
Revenue Analysis of Stationary and Transportable Battery Storage for Power Systems with High Penetration of Renewable Sources: A Market Participant Perspective
Based on the results of the revenue analysis and characterization of commercial pricing nodes, an optimal placement algorithm is proposed for finding the profitable sites for market participants to install BESSs in the system and the algorithm is validated with real PJM market data.
