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Modelling Endogenous & Exogenous Uncertainty in Electricity Grid Reinforcement

 

Overview

In an electricity distribution grid some of the buses expect their electricity demand to grow in an uncertain way (exogenous uncertainty). In some other buses, demand side response is expected to be deployed but the consumer participation is uncertain (endogenous uncertainty). We will understand what the difference is between exogenous and endogenous sources of uncertainty, how to model them, and develop an optimization model - using Benders decomposition - for deciding the optimal investments in this distribution grid: i.e. whether to upgrade the capacity (kW) of distribution grid lines (when, and by how much) or deploy demand side response (and at which buses and when).
We will also look at the FICO Mosel Xpress code and understand its along with its mathematical formulation.

 

Key Details

  • Prerequisites: None
  • Video Duration:  2 hours, 14 minutes
  • Last Updated: September 2025
  • Price: 100 GBP

  • Access: Lifetime with updates 

  • Downloads: All code, datasets, and slides included

  • Support: Direct Access to instructor included

  • Certificate: Yes, upon watching all videos, at no extra cost

  • Format: Private, self-paced, focused learning with no distractions

  • Community: For networking with other learners, join the dedicated Skool community

  • Instructor: Dr. Spyros Giannelos, Imperial College London

Modelling Endogenous & Exogenous Uncertainty in Electricity Grid Reinforcement

£100.00Price

    Courses

    Modelling Endogenous & Exogenous Uncertainty in Electricity Grid Reinforcement

    £100.00

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    Lifetime access to all videos of all courses.

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    Lifetime access to all videos of all courses.

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    Lifetime access to all videos of all courses.

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    Lifetime access to all videos of all courses.

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    Lifetime access to all videos of all courses.

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    Lifetime access to all videos of all courses.

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