Operation planning of hydro stations using genetic algorithms considering their impact on the electricity market prices

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Guerreiro, CA (Author) Other; João Tomé Saraiva (Author) FEUP; Sousa, JC (Author) Other; Mendes, VT (Author) Other

Conference proceedings International

Title: International Conference on the European Energy Market, EEM

11th International Conference on the European Energy Market, EEM 2014

Krakow, 28 May 2014 through 30 May 2014

Indexing

Scopus - 6 Citations

Other information

Authenticus ID: P-00N-B0S

DOI: 10.1109/eem.2014.6861210

Abstract (EN): With the advent of restructuring, generation companies have to plan the operation of their stations in order to maximize their profits. This is very relevant for companies having a large share of hydro stations, and even more if these stations have pumping capacity. This paper describes a model to plan the operation of a set of hydro stations eventually installed in cascade and admitting that some of them are pumping stations. Once a first set of operation orders is obtained using a Genetic Algorithm, their generation/load values are included in the expected market selling/buying curves and the hourly prices are updated. These prices are then used to refine the operation orders originating an iterative process so that hydro stations are price makers. The paper includes results for a hydro system in order to illustrate the application of the developed approach. © 2014 IEEE.

Language: English

Type (Professor's evaluation): Scientific