Multiyear Transmission Expansion Planning Under Hydrological Uncertainty

• Type: Article in International Conference Proceedings Book
• Date: 2017-06-18

Authors

João Tomé Saraiva (Author) FEUP; Phillipe Vilaça (Author) Other

Conference proceedings International

Title: 2017 IEEE MANCHESTER POWERTECH

Pages: 1-6

IEEE Manchester PowerTech

Manchester, ENGLAND, JUN 18-22, 2017

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 4 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Electrical engineering

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

Other information

Authenticus ID: P-00N-38H

DOI: 10.1109/ptc.2017.7980979

Abstract (EN): Hydrothermal systems should be characterized by a transmission-intensive nature in order to deal with climatic phenomena which, for example, can determine dry conditions in one region while there are large rainfalls in another one. Thus, the grid must be robust to deal with the different export/import patterns among regions and accommodate several economic dispatches. This paper describes a multiyear probabilistic Transmission Expansion Planning, TEP, model that uses Evolutionary Particle Swarm Optimization (EPSO) to deal with the uncertainties present in hydrothermal systems. The numerical simulations were conducted using the IEEE 24 bus reliability test system in which the planning horizon is 10 years and the load growth is 2,5% per year. The results highlight the importance of adopting expansion strategies to reduce the risk and consider the inflow variations in this type of systems.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6