Evaluation of the uncertainties used to perform flow security assessment: A real case study

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Maria Helena Vasconcelos (Author) FEUP; Carla Gonçalves (Author) Other; João Meirinhos (Author) Other; Nicolas Omont (Author) Other; Andrea Pitto (Author) Other; Gaia Ceresa (Author) Other

Conference proceedings International

Title: 2019 IEEE Milan PowerTech

Pages: 1-6

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00R-38F

DOI: 10.1109/ptc.2019.8810649

Abstract (EN): In this paper, a validation framework is proposed to evaluate the quality of uncertainty forecasts, when used to perform branch flow security assessment. The consistency between probabilistic forecasts and observations and the sharpness of the uncertainty forecasts is verified with advanced metrics widely used in weather prediction. The evaluation is completed by assessing the added value of exploiting uncertainty forecasts over the TSO current practices of using deterministic forecasts. For electric power industry, this proposed validation framework provides a way to compare the performance among alternative uncertainty models, when used to perform security assessment in power systems. The quality of the proposed metrics is illustrated and validated on historical data of the French transmission system. © 2019 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6