VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration. Ximena Caporale, Damián Vallejo and Ruben Chaer 2018/04/20

Abstract

From 2010 many countries are changing their power generation mix from hydro and fuel-fired generators to hydro, wind and solar energy. In Uruguay's case, in the first quarter of 2017, the installed wind capacity exceeded the average energy load. Uruguay is an example of a working
system with a great amount of Variable Energy Resources (VER).
This work shows how the optimal operation of the system is programmed on a weekly, daily and hourly basis to deal with the VER. The way the forecast of the wind, solar and hydro resources availability are considered and how these uncertainties are used to generate a Spot Signal Price
(SSP) that may be used to implement a Demand Response pricing scheme is shown.
The developed tool is called VATES and it is running continuously on ADME's servers. The forecast of the dispatch for the next 72 hours is continuously available at http://vates.adme.com.uy

Authors and affiliations

Ximena Caporale1, Damián Vallejo1 and Ruben Chaer1,2
1. Administración del Mercado Eléctrico. Yaguarón 1407. Montevideo (Uruguay)
2. Instituto de Ingeniería Eléctrica, Universidad de la República Oriental del Uruguay. Montevideo (Uruguay)

Key words

Wind and solar integration, optimal operation of power systems, modeling and simulation, electrical generation forecast.

References

[1] Bellman, R.E. 1957. Dynamic Programming. Princeton University Press, Princeton, NJ. Republished 2003: Dover, ISBN 0-486-42809-5.
[2] S. Yakowitz, “Dynamic programming applications in water resources,” Water Resources Res., vol. 18, no. 4, pp.
673–696, 1982.
[3] J. R. Stedinger, B. F. Sule, and D. P. Loucks, “Stochastic dynamic programming models for reservoir operation optimization,” Water Resources Res., vol. 20, no. 11, pp. 1499–1505, 1984.
[4] SimSEE: Simulador de Sistemas de Energía Eléctrica. Proyecto PDT 47/12. Gonzalo Casaravilla, Ruben Chaer, Pablo Alfaro. Technical Report 7, Universidad de la República (Uruguay). Facultad de Ingeniería. Instituto de Ingeniería
Eléctrica, Number 7 - Dec. 2008.
[5] Chaer, Ruben. (2015). Fundamentos del modelado CEGH de procesos aleatorios.10.13140/RG.2.1.4637.8081.
[6] Fernanda Maciel, Rafael Terra, Ruben Chaer. Economic impact of considering El Niño-Southern Oscillation on the representation of streamflow in an electric system simulator. International Journal of Climatology, Volume 35, Number 14, page 4094--4102 -Nov. 2015.
[7] Análisis de complementariedad de los recursos eólico y solar para su utilización en la generación eléctrica en
gran escala en Uruguay, INFORME FINAL Febrero de 2016–Montevideo–Uruguay. Milena Gurín, Eliana Cornalino, Alejandra De Vera, Alejandro Draper, Rafael Terra, Gonzalo Abal, Rodrigo Alonso Suárez, Pablo Modernell, Daniel Aicardi, Agustín Laguarda, Ruben Chaer. Technical Report , MIEM-DNE - 2016.