Multi-market Scheduling of Battery Storages Within Renewable Portfolios
Paper i 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.

Stochastic optimization

Day-ahead market

Renewable generation

Optimal scheduling

Battery storage


Josip Vasilj

University of Split

Sébastien Gros

Chalmers, Elektroteknik, System- och reglerteknik, Reglerteknik

Damir Jakus

University of Split

Petar Sarajcev

University of Split

IEEE PES Innovative Smart Grid Technologies Conference Europe

2165-4816 (ISSN)

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


Transportteknik och logistik



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