Skip to main content
King Abdullah University of Science and Technology
Stochastic Numerics Research Group
STOCHNUM
Stochastic Numerics Research Group

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Research Scientists
    • Postdoctoral Fellows
    • Students
    • Former Members
    • Consultants
  • Events
    • All Events
    • Upcoming Events
    • Events Calendar
  • News
  • Teaching
  • Theses
  • UQ Hybrid Seminar
  • SNSL 2026

Alternative sources of energy

Lagrangian Relaxation for Continuous-Time Stochastic Optimal Control of Power Systems Including Wind Power, Storage Capacity, and a Cascade of Hydropower Systems with Time Delays

Eliza Rezvanova, Ph.D. Student, Applied Mathematics and Computational Science
Apr 21, 13:00 - 14:00

Zoom

Stochastic Optimal Control Alternative sources of energy

Abstract This work considers a short-term, continuous-time stochastic setting characterized by a coupled power supply system controlled exclusively by a single provider and comprising a cascade of hydropower systems (dams), fossil fuel power stations, a storage capacity modeled by a single large battery, and stochastic wind power generation. Cascaded hydropower generators introduce time-delay effects in the state dynamics, making it impossible to use classical dynamic programming in its standard Markovian form. We address this issue by introducing a novel Lagrangian relaxation technique over

Stochastic Numerics Research Group (STOCHNUM)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice