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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2014

Autores

Bessa, RJ (Autor) Outra; Manuel Matos (Autor) FEUP

Revista

Título: Electric Power Systems Research

Vol. 106

Páginas: 36-50

ISSN: 0378-7796

Editora: Elsevier

Indexação

ISI Web of Knowledge - 61 Citações

Scopus - 62 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 15