Distributed coordination of multi-microgrids in active distribution networks for provisioning ancillary services

A Mallick, A Mishra, AR Hota, P Bajpai - IEEE Systems Journal, 2024 - ieeexplore.ieee.org
With the phenomenal growth in renewable energy generation, the conventional
synchronous generator-based power plants are gradually getting replaced by renewable …

Capture, propagate, and control distributional uncertainty

L Aolaritei, N Lanzetti, F Dörfler - 2023 62nd IEEE Conference …, 2023 - ieeexplore.ieee.org
We study stochastic dynamical systems in settings where only partial statistical information
about the noise is available, eg, in the form of a limited number of noise realizations. Such …

Discrete Distributionally Robust Optimal Control with Explicitly Constrained Optimization

Y Shida, Y Ito - arxiv preprint arxiv:2409.19860, 2024 - arxiv.org
Distributionally robust optimal control (DROC) is gaining interest. This study presents a
reformulation method for discrete DROC (DDROC) problems to design optimal control …

Distributed alternating gradient descent for convex semi-infinite programs over a network

A Aravind, D Chatterjee, A Cherukuri - arxiv preprint arxiv:2408.11937, 2024 - arxiv.org
This paper presents a first-order distributed algorithm for solving a convex semi-infinite
program (SIP) over a time-varying network. In this setting, the objective function associated …

Data-driven distributionally robust MPC for systems with multiplicative noise: A semi-infinite semi-definite programming approach

S Das, S Ganguly, A Aravind, D Chatterjee - arxiv preprint arxiv …, 2024 - arxiv.org
This article introduces a novel distributionally robust model predictive control (DRMPC)
algorithm for a specific class of controlled dynamical systems where the disturbance …

Solving the Vehicle Routing Problem with Time Window based on Reinforcement Learning

Z Wang, Q Yan, L Wang, X Hei - 2023 19th International …, 2023 - ieeexplore.ieee.org
This paper presents an end-to-end AC-D model for addressing the Vehicle Routing Problem
with Time Windows (VRPTW) using reinforcement learning techniques. The proposed model …