6 papers
Reinforcement Learning-Based Co-Design and Operation of Chiller and Thermal Energy Storage for Cost-Optimal HVAC Systems
Tanay Raghunandan Srinivasa, Vivek Deulkar, Aviruch Bhatia +1
We study the joint operation and sizing of cooling infrastructure for commercial HVAC systems using reinforcement learning, with the objective of minimizing life-cycle cost over a…
Degradation-Aware Frequency Regulation of a Heterogeneous Battery Fleet via Reinforcement Learning
Tanay Raghunandan Srinivasa, Vivek Deulkar, Jia Bhargava +2
Battery energy storage systems are increasingly deployed as fast-responding resources for grid balancing services such as frequency regulation and for mitigating renewable generati…
Optimal Cycling of a Heterogenous Battery Bank via Reinforcement Learning
Vivek Deulkar, Jayakrishnan Nair
We consider the problem of optimal charging/discharging of a bank of heterogenous battery units, driven by stochastic electricity generation and demand processes. The batteries in…
Pareto-optimal energy sharing between battery-equipped renewable generators
Vivek Deulkar, Jayakrishnan Nair
The inherent intermittency of renewable sources like wind and solar has resulted in a bundling of renewable generators with storage resources (batteries) for increased reliability.…
Statistical Economies of Scale in Battery Sharing
Vivek Deulkar, Jayakrishnan Nair, Ankur A. Kulkarni
The goal of this paper is to shed light on the statistical economies of scale achievable from sharing of storage between renewable generators. We conduct an extensive study using r…
Sizing Storage for Reliable Renewable Integration: A Large Deviations Approach
Vivek Deulkar, Jayakrishnan Nair, Ankur A. Kulkarni
The inherent intermittency of wind and solar generation presents a significant challenge as we seek to increase the penetration of renewable generation in the power grid. Increasin…