Discrete evolutionary particle swarm optimization for multiyear transmission expansion planning

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Manuel Costeira da Rocha (Author) FEUP; João Tomé Saraiva (Author) FEUP

Conference proceedings International

Title: PSCC 2011

Pages: 1-8

17th PSCC - Power Systems Computation Conference

Estocolmo, 22 a 26 de Agosto de 2011

Indexing

ISI Proceedings

ISI Web of Science

Scopus - 8 Citations

INSPEC

Scientific classification

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

CORDIS: Technological sciences

Other information

Authenticus ID: P-00G-QPT

Abstract (EN): This paper presents a discrete approach, based on an improved integer version of the evolutionary particle swarm optimization (EPSO) algorithm, to solve the dynamic transmission expansion planning (TEP) problem. TEP corre-sponds to a mixed integer optimization problem that typically aims at identifying a schedule for transmission additions along an extended planning horizon considering operation and investment costs as well as a reliability index to measure the ability the system has to convey electricity from genera-tion to consumers. After detailing the mathematical formula-tion of the TEP problem, this paper describes the enhanced EPSO algorithm and details its application to the TEP prob-lem. The paper also includes a Case Study based on the IEEE 24 bus / 38 branch system to illustrate the application of the developed procedure.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8