Search Results for author:
Found 9 papers, 0 papers with code
A Rolling Horizon Restoration Framework for Post-disaster Restoration of Electrical Distribution Networks
Severe weather events such as floods, hurricanes, earthquakes, and large wind or ice storms can cause extensive damage to electrical distribution networks, requiring a multi-day restoration effort.
Cyber-Physical Attack Leveraging Subsynchronous Resonance
This paper discusses how a cyber attack could take advantage of torsional resonances in the shaft of turbo-generators to inflict severe physical damage to a power system.
Should Storage-Centric Tariffs be Extended to Commercial Flexible Demand?
We show that extending this tariff to consumers with flexible demand would reduce the utility's net demand ramp rates during peak hours.
Bi-level Volt/VAR Optimization in Distribution Networks with Smart PV Inverters
Optimal Volt/VAR control (VVC) in distribution networks relies on an effective coordination between the conventional utility-owned mechanical devices and the smart residential photovoltaic (PV) inverters.
Adaptive Coalition Formation-Based Coordinated Voltage Regulation in Distribution Networks
This paper proposes a distributed control strategy based on the dynamic formation of coalitions to coordinate a large number of PV inverters for voltage regulation.
Estimating Demand Flexibility Using Siamese LSTM Neural Networks
There is an opportunity in modern power systems to explore the demand flexibility by incentivizing consumers with dynamic prices.
Impacts of Time-of-Use Rate Changes on the Electricity Bills of Commercial Consumers
Changes in the profile of prices in wholesale electricity markets prompt utilities to redesign their tariffs and adjust their time-of-use periods to ensure a more adequate cost recovery.
Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding
Data-driven techniques provide a promising way to identify security rules that can be embedded in economic dispatch model to keep power system operating states secure.
Real-Time Prediction of the Duration of Distribution System Outages
This paper addresses the problem of predicting duration of unplanned power outages, using historical outage records to train a series of neural network predictors.
