Abstract
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.
Josip Vasilj
Associate Professor | Department of Power Grids and Substations
Researcher and Associate Professor at the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture in Split, where he teaches courses related to engineering economics, power system analysis, power grids and machine learning. His research focus is the application of advanced numerical methods to problems in the analysis and planning of power system operations.
Damir Jakus
Full Professor | Department of Power Grids and Substations
Researcher and a full professor at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split. His research interests include power system optimization and planning, RES integration, electricity market modeling.
