11 citations · 22 across the 7 of their papers we have counts for
5 papers · 1 filter
Volt/VAR Optimization in the Presence of Attacks: A Real-Time Co-Simulation Study
Mohd Asim Aftab, Astha Chawla, Pedro P. Vergara +2
Traditionally, Volt/VAR optimization (VVO) is performed in distribution networks through legacy devices such as on-load tap changers (OLTCs), voltage regulators (VRs), and capacito…
A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch
Shengren Hou, Edgar Mauricio Salazar Duque, Peter Palensky +1
The optimal dispatch of energy storage systems (ESSs) presents formidable challenges due to the uncertainty introduced by fluctuations in dynamic prices, demand consumption, and re…
Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation
Flore Verbist, Nanda Kishor Panda, Pedro P. Vergara +1
With a growing share of electric vehicles (EVs) in our distribution grids, the need for smart charging becomes indispensable to minimise grid reinforcement. To circumvent the assoc…
Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm
Hou Shengren, Pedro P. Vergara, Edgar Mauricio Salazar Duque +1
The massive integration of renewable-based distributed energy resources (DERs) inherently increases the energy system's complexity, especially when it comes to defining its operati…
Estimating Risk-Aware Flexibility Areas for EV Charging Pools via Stochastic AC-OPF
Juan S. Giraldo, Nataly Banol Arias, Pedro P. Vergara +3
This paper introduces a stochastic AC-OPF (SOPF) for the flexibility management of electric vehicle (EV) charging pools in distribution networks under uncertainty. The SOPF conside…