Optimization Models for EV Aggregator Participation in a Manual Reserve Market

• Type: Article in International Scientific Journal
• Date: 2013

Authors

Ricardo Bessa (Author) FEUP; Manuel Matos (Author) FEUP

Journal

Title: IEEE Transactions on Power Systems

Vol. 28 No. 3

Pages: 3085-3095

ISSN: 0885-8950

Publisher: IEEE

Indexing

ISI Web of Knowledge - 94 Citations

ISI Web of Science

Scopus - 108 Citations

Scientific classification

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

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-006-8JN

DOI: 10.1109/tpwrs.2012.2233222

Abstract (EN): The charging flexibility of electric vehicles (EV) when aggregated by a market agent creates an opportunity for selling manual reserve in the electricity market. This paper describes a new optimization algorithm for optimizing manual reserve bids. Furthermore, two operational management algorithms covering alternative gate closures (i.e., day-ahead and hour-ahead) are also described. These operational algorithms coordinate EV charging for mitigating forecast errors. A case-study with data from the Iberian electricity market and synthetic EV time series is used for evaluating the algorithms.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11