Optimizing Daily Operation of Battery Energy Storage Systems Under Real-Time Pricing Schemes

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Lujano Rojas, JM (Author) Other; Dufo Lopez, R (Author) Other; Bernal Agustin, JL (Author) Other; Catalao, JPS (Author) FEUP

Journal

Title: IEEE Transactions on Smart Grid

Vol. 8

Pages: 316-330

ISSN: 1949-3053

Publisher: IEEE

Indexing

ISI Web of Knowledge - 43 Citations

Scopus - 57 Citations

Other information

Authenticus ID: P-00M-DJ0

DOI: 10.1109/tsg.2016.2602268

Abstract (EN): Modernization of electricity networks is currently being carried out using the concept of the smart grid; hence, the active participation of end-user consumers and distributed generators will be allowed in order to increase system efficiency and renewable power accommodation. In this context, this paper proposes a comprehensive methodology to optimally control lead-acid batteries operating under dynamic pricing schemes in both independent and aggregated ways, taking into account the effects of the charge controller operation, the variable efficiency of the power converter, and the maximum capacity of the electricity network. A genetic algorithm is used to solve the optimization problem in which the daily net cost is minimized. The effectiveness and computational efficiency of the proposed methodology is illustrated using real data from the Spanish electricity market during 2014 and 2015 in order to evaluate the effects of forecasting error of energy prices, observing an important reduction in the estimated benefit as a result of both factors: 1) forecasting error and 2) power system limitations.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15