Optimization models for an EV aggregator selling secondary reserve in the electricity market

• Type: Article in International Scientific Journal
• Date: 2014

Authors

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

Journal

Title: Electric Power Systems Research

Vol. 106

Pages: 36-50

ISSN: 0378-7796

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 61 Citations

Scopus - 62 Citations

Other information

Authenticus ID: P-008-E00

DOI: 10.1016/j.epsr.2013.08.006

Abstract (EN): Power system regulators and operators are creating conditions for encouraging the participation of the demand-side into reserve markets. The electric vehicle (EV), when aggregated by a market agent, holds sufficient flexibility for offering reserve bids. Nevertheless, due to the stochastic nature of the drivers' behavior and market variables, forecasting and optimization algorithms are necessary for supporting an EV aggregator participating in the electricity market. This paper describes a new day-ahead optimization model between energy and secondary reserve bids and an operational management algorithm that coordinates EV charging in order to minimize differences between contracted and realized values. The use of forecasts for EV and market prices is included, as well as a market settlement scheme that includes a penalty term for reserve shortage. The optimization framework is evaluated in a test case constructed with synthetic time series for EV and market data from the Iberian electricity market.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15