26 citations · 115 across the 68 of their papers we have counts for
7 papers · 1 filter
Assured RL: Reinforcement Learning with Almost Sure Constraints
Agustin Castellano, Juan Bazerque, Enrique Mallada
We consider the problem of finding optimal policies for a Markov Decision Process with almost sure constraints on state transitions and action triplets. We define value and action-…
On the Value of Energy Storage in Generation Cost Reduction
Yue Shen, Maxim Bichuch, Enrique Mallada
This work seeks to quantify the benefits of using energy storage toward the reduction of the energy generation cost of a power system. A two-fold optimization framework is provided…
Storage Degradation Aware Economic Dispatch
R. K. Bansal, P. You, D. F. Gayme +1
In this paper, we formulate a cycling cost aware economic dispatch problem that co-optimizes generation and storage dispatch while taking into account cycle based storage degradati…
Learning to be safe, in finite time
Agustin Castellano, Juan Bazerque, Enrique Mallada
This paper aims to put forward the concept that learning to take safe actions in unknown environments, even with probability one guarantees, can be achieved without the need for an…
Saddle Flow Dynamics: Observable Certificates and Separable Regularization
Pengcheng You, Enrique Mallada
This paper proposes a certificate, rooted in observability, for asymptotic convergence of saddle flow dynamics of convex-concave functions to a saddle point. This observable certif…
Grid-forming frequency shaping control
Yan Jiang, Andrey Bernstein, Petr Vorobev +1
As power systems transit to a state of high renewable penetration, little or no presence of synchronous generators makes the prerequisite of well-regulated frequency for grid-follo…
Storage-Based Frequency Shaping Control
Yan Jiang, Eliza Cohn, Petr Vorobev +1
With the decrease in system inertia, frequency security becomes an issue for power systems around the world. Energy storage systems (ESS), due to their excellent ramping capabiliti…