A new scenario generation-based method to solve the unit commitment problem with high penetration of renewable energies

• Type: Article in International Scientific Journal
• Date: 2015

Authors

Osorio, GJ (Author) Other; Lujano Rojas, JM (Author) Other; Matias, JCO (Author) Other; Catalao, JPS (Author) FEUP

Journal

Title: International Journal of Electrical Power and Energy Systems

Vol. 64

Pages: 1063-1072

ISSN: 0142-0615

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 53 Citations

Scopus - 62 Citations

Other information

Authenticus ID: P-009-VQS

DOI: 10.1016/j.ijepes.2014.09.010

Abstract (EN): Optimal operation of power systems with high integration of renewable power sources has become difficult as a consequence of the random nature of some sources like wind energy and photovoltaic energy. Nowadays this problem is solved using the Monte Carlo Simulation (MCS) approach, which allows the consideration of important statistical characteristics of wind and solar power production, such as the correlation between consecutive observations, the diurnal profile of the forecasted power production, and the forecasting error. In this paper, a new model of the unit scheduling of power systems with significant renewable power generation based on the scenario generation/reduction method combined with the priority list (PL) method is proposed that finds the probability distribution function (PDF) of a determined generator be committed or not. This approach allows the recognition of the role of each generation unit on the day-ahead unit commitment (UC) problem with a probabilistic point of view, which is important for acquiring a cost-effective and reliable solution. The capabilities and performance of the proposed approach are illustrated through the analysis of a study case, where the spinning reserve requirements are probabilistically verified with success.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10