Framework to Evaluate Power Portfolio Dispatch Considering Balancing Market Participation

Conference paper (2021)

Authors

Alejandro Vas-Corrales Eindhoven University of Technology

Phuong Nguyen Eindhoven University of Technology

Pedro P. Vergara Barrios Intelligent Electrical Power Grids -

Pedro P. Vergara Intelligent Electrical Power Grids -

P.P. Vergara Barrios Intelligent Electrical Power Grids -

P.P. Vergara Intelligent Electrical Power Grids -

Wouter Schoot Det Norske Veritas

Lennart Söder KTH Royal Institute of Technology

Research Group

Intelligent Electrical Power Grids () (TU Delft)

DOI: https://doi.org/10.1109/PowerTech46648.2021.9494917

Balancing markets Receding horizon control Power balance Power portfolio management Predictive dispatch optimization

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Published Date

2021

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

Abstract

The power grid is rapidly experiencing a transformation driven by renewable and climate targets which pose a huge challenge to maintain the system stability and reliability, thus balancing services become more crucial now than ever. To provide balancing services in a cost-efficient way, it is necessary to develop predictive models which can optimize power portfolio in an online manner. This paper presents the development of an Online Predictive Dispatch Optimizer and its connection with a grid model that simulates power and frequency control within interconnected power systems. The performance of the dispatch optimizer and its connection with the grid model is tested by simulating several cases where the adequacy of the model is confirmed, especially regarding its ability to manage energy imbalance in real-time. The outcomes and flexibility of this framework can be used to quantitatively evaluate the operation of power portfolio owners in the power grid.

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