Energy and Reserve Co-optimization in Power System with Wind and PV power
Abstract
Due to increase in renewable generation presence in power systems worldwide, current practices in day-ahead or hour-ahead operation planning require revision. Both wind and solar energy governed power sources require forecasting similar to load forecasts performed in traditional power systems. When such stochastic generation reaches significant amounts, traditional day-ahead or hour-ahead operation planning is not suitable, and a novel approach is required in order to ensure reliable and economically efficient generation scheduling. This paper presents an optimization procedure for energy and reserve co- optimization accounting for uncertainty in both wind and solar power forecasting. Problem formulation is based on two-stage stochastic programming where energy and capacity procurement is performed in the first stage, while balancing power or curtailments and load losses are performed in the second stage.
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.
