Multi-market Scheduling of Battery Storages Within Renewable Portfolios
Paper in proceeding, 2018

This paper presents a multi-market scheduling model for a battery storage within a mixed Wind/PV portfolio. Markets considered in the decision making are day-ahead market, intra-day market, balancing market and imbalance settlement procedure. Comprehensive optimization framework presented in this paper depicts revenue opportunities more accurately assuming a typical market structure. Market related decision parameters are formulated in a probabilistic manner adopting autoregressive models. Model validation is performed on a realistic case study clearly depicting the benefits of the presented model.

Optimal scheduling

Renewable generation

Battery storage

Stochastic optimization

Day-ahead market


Josip Vasilj

University of Split

Sébastien Gros

Chalmers, Electrical Engineering, Systems and control

Damir Jakus

University of Split

Petar Sarajcev

University of Split

Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018

978-1-5386-4505-5 (ISBN)

IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Sarajevo, Bosnia and Herzegovina,

Subject Categories

Transport Systems and Logistics


Business Administration





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