Forecasting Issues for Managing a Portfolio of Electric Vehicles under a Smart Grid Paradigm

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Bessa, RJ (Author) Other; Manuel Matos (Author) FEUP

Conference proceedings International

Title: 2012 3RD IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT EUROPE)

3rd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies Europe (ISGT Europe)

Berlin, GERMANY, OCT 14-17, 2012

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 16 Citations

Other information

Authenticus ID: P-005-457

DOI: 10.1109/isgteurope.2012.6465724

Abstract (EN): In order to participate in the electricity market, electric vehicles (EV) need to be aggregated by a market agent, since the current rules do not allow the participation of small loads. The EV aggregator purchases electrical energy for charging its clients, and can offer reserve services. This activity requires forecasting methods for several variables. This paper presents a global view of the relevant variables for an EV aggregation agent participating in the electricity market and discusses the associated forecasting issues. The load forecast problem for direct and indirect control of the EV charging process is discussed. Variables from the market-side, such as reserve price and direction, are also addressed. Existing approaches are reviewed, discussed and tested according to different metrics.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8