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Found 8 papers, 0 papers with code
Scheduling Power-Intensive Operations of Battery Energy Storage Systems and Application to Hybrid Hydropower Plants
This paper derives a set of alternative constraints for the BESS power that are cognizant of the physical limits of the BESS.
Computation of Ultra-Short-Term Prediction Intervals of the Power Prosumption in Active Distribution Networks
Microgrids and, in general, active distribution networks require ultra-short-term prediction, i. e., for sub-second time scales, for specific control decisions.
Model-less Robust Voltage Control in Active Distribution Networks using Sensitivity Coefficients Estimated from Measurements
This formulation is applied to control distributed controllable photovoltaic (PV) generation in a distribution network to restrict the voltage within prescribed limits.
Optimal Planning of Single-Port and Multi-Port Charging Stations for Electric Vehicles in Medium Voltage Distribution Networks
This paper describes a method based on mixed-integer linear programming to cost-optimally locate and size chargers for electric vehicles (EVs) in distribution grids as a function of the driving demand.
Model Predictive Control for a Medium-head Hydropower Plant Hybridized with Battery Energy Storage to Reduce Penstock Fatigue
A hybrid hydropower power plant is a conventional HydroPower Plant (HPP) augmented with a Battery Energy Storage System (BESS) to decrease the wear and tear of sensitive mechanical components and improve the reliability and regulation performance of the overall plant.
Stress-informed Control of Medium- and High-head Hydropower Plants to Reduce Penstock Fatigue
The displacement of conventional generation in favor of stochastic renewable requires increasing regulation duties from the remaining dispatchable resources.
Performance Assessment of Linear Models of Hydropower Plants
Model performance is evaluated for a medium- and a low-head HPP with a Francis and Kaplan turbine, respectively.
Hierarchical Demand Forecasting Benchmark for the Distribution Grid
We present a comparative study of different probabilistic forecasting techniques on the task of predicting the electrical load of secondary substations and cabinets located in a low voltage distribution grid, as well as their aggregated power profile.
