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

Carlos A. Guerreiro (Author) FEUP; João Tomé Saraiva (Author) FEUP; J. C. Sousa (Author) FEUP; V. T. Mendes (Author) Other

Conference proceedings International

Title: 2014 International Conference on The European Energy Market, EEM14

Pages: 1-5

2014 International Conference on The European Energy Market, EEM14

Krakow, Poland, 28 a 30 de Maio de 2014

Indexing

ISI Web of Knowledge - 0 Citations

ISI Web of Science

Scopus

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-00A-15H

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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6