17 citations · 17 across the 7 of their papers we have counts for
5 papers · 1 filter
Scalable Grid-Aware Dynamic Matching using Deep Reinforcement Learning
Majid Majidi, Deepan Muthirayan, Masood Parvania +1
This paper proposes a two-level hierarchical matching framework for Integrated Hybrid Resources (IHRs) with grid constraints. An IHR is a collection of Renewable Energy Sources (RE…
Cyber-Resilient Frequency Control of Power Grids with Energy Storage Systems
Jairo Giraldo, Masood Parvania
The integration of synchronous generators and energy storage systems operated through communication networks introduces new challenges and vulnerabilities to the electric grid, whe…
Dynamic Matching Markets in Power Grid: Concepts and Solution using Deep Reinforcement Learning
Majid Majidi, Deepan Muthirayan, Masood Parvania +1
Traditional bulk load flexibility options, such as load shifting and load curtailment, for managing uncertainty in power markets limit the diversity of options and ignore the prefe…
Impact of COVID-19 on Mobility and Electric Vehicle Charging Load
Alejandro Palomino, Masood Parvania, Regan Zane
The COVID-19 pandemic has depressed overall mobility across the country. The changes seen reflect responses to new COVID-19 cases, local health guidelines, and seasonality, making…
Online Algorithms for Dynamic Matching Markets in Power Distribution Systems
Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar
This paper proposes online algorithms for dynamic matching markets in power distribution systems, which at any real-time operation instance decides about matching -- or delaying th…