Unit commitment and operating reserves with probabilistic wind power forecasts

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Botterud, A (Author) Other; Zhou, Z (Author) Other; Wang, J (Author) Other; Valenzuela, J (Author) Other; Sumaili, J (Author) Other; Bessa, RJ (Author) Other; Keko, H (Author) Other; Vladimiro Miranda (Author) FEUP

Conference proceedings International

Title: 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011

2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011

Trondheim, 19 June 2011 through 23 June 2011

Indexing

Scopus - 31 Citations

Other information

Authenticus ID: P-008-0GK

DOI: 10.1109/ptc.2011.6019263

Abstract (EN): In this paper we discuss how probabilistic wind power forecasts can serve as an important tool to efficiently address wind power uncertainty in power system operations. We compare different probabilistic forecasting and scenario reduction methods, and test the resulting forecasts on a stochastic unit commitment model. The results are compared to deterministic unit commitment, where dynamic operating reserve requirements can also be derived from the probabilistic forecasts. In both cases, the use of probabilistic forecasts contributes to improve the system performance in terms of cost and reliability. © 2011 IEEE.

Language: English

Type (Professor's evaluation): Scientific