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Distributed coordination of multi-microgrids in active distribution networks for provisioning ancillary services
With the phenomenal growth in renewable energy generation, the conventional
synchronous generator-based power plants are gradually getting replaced by renewable …
synchronous generator-based power plants are gradually getting replaced by renewable …
Capture, propagate, and control distributional uncertainty
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 …
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 …
reformulation method for discrete DROC (DDROC) problems to design optimal control …
Distributed alternating gradient descent for convex semi-infinite programs over a network
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 …
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
This article introduces a novel distributionally robust model predictive control (DRMPC)
algorithm for a specific class of controlled dynamical systems where the disturbance …
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 …
with Time Windows (VRPTW) using reinforcement learning techniques. The proposed model …