EXCOM-EXLA: Development of the stochastic model, consideration technical constraints market, and improvements in the hydro model

J. García-González P. Otaola-Arca I. Candela-Ripoll

September 2020 - November 2020

Funding entity Endesa Medios y Sistemas S.L

This project is part of the development of the EXCOM and EXLA decision support tools. The first objective of this project is to develop the stochastic optimization module to obtain the optimal operation of the reservoirs taking as input data a scenario tree of natural inflows. The second objective is to improve the modeling of the technical constraint market.

Layman's summary: This project belongs to a series of R&D activities oriented to develop the decision support models EXCOM (optimal hourly scheduling of the whole portfolio in market environment) and EXLA (stochastic optimization of the annual operation of the hydro reservoirs).

Research topics:
• Unit-commitment in electricity markets with high RES penetration
• Short and Medium term hydro and hydrothermal scheduling

2020_EXCOM_EXLA_sprints_24_27