Event Schedule

Thursday, 29 February 2024

Xcelerate New Delhi

Day 3 Training Schedule

8:30 am - 9:00 am

Breakfast

9:00 am - 10:30 am

PLEXOS Certification Training for Beginners

Adding Markets & Constraints

Everything from Energy, Capacity, to Ancillary Services Markets play a crucial role in determining how system settlements occur. We explore a host of markets represented in PLEXOS and learn how to describe them. Along with Markets, custom constraints can be used to represent any number of policies, goals, and non-economic positions required for modelling the actual power sector.

Key Takeaways: 

  • How to add Markets to a dataset.
  • Constraints can be used to a variety of non-economic conditions.

Room: Ballroom

10:30 am - 11:00 am

Morning Coffee Break

11:00 am - 12:30 pm

PLEXOS Certification Training for Beginners

Heat Rates & Ancillary Services

PLEXOS allows the user to fine-tune the system using value-based modelling techniques. Heat rates are used as an example of how to build highly efficient models and how to combine the power of the Excel work environment with PLEXOS to maximize productivity.

Key Takeaways: 

  • How heat rates work to formulate short run marginal costs.
  • Value-based modelling maintains high quality while maximizing run times. 
  • Integrating Excel to the workflow dramatically increases productivity. 

Room: Ballroom

12:30 pm - 1:30 pm

Networking Lunch

1:30 pm - 3:00 pm

PLEXOS Certification Training for Beginners

System Adequacy

Systems are prone to breakdowns and require maintenance. We explore system maintenance and random outages and how they affect the reliability of our system.

Key Takeaways: 

  • Three types of outages modelled in PLEXOS.
  • The Projected Assessment of System Adequacy (PASA) phase.
  • Reliability indices.

Room: Ballroom

3:00 pm - 3:30 pm

Coffee Break

3:30 pm - 5:30 pm

PLEXOS Certification Training for Beginners

Medium Term Modelling - Intro to LT Plan

It is impossible to consider every aspect of a system of any meaningful size over the medium term when operating in real-time. The MT Schedule solves this problem by optimizing medium term objectives and passing them to the ST Schedule.

Key Takeaways: 

  • How data can be simplified.
  • Types of decisions optimized in the Medium Term.
  • Chronological approximation strategies.

Room: Ballroom