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

IEEE PES Innovative Smart Grid Technologies Conference Europe

2165-4816 (ISSN)

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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4/6/2020 2