Minimizing Wind Power Curtailment Using a Continuous-Time Risk-Based Model of Generating Units and Bulk Energy Storage

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Nikoobakht, A (Author) Other; Aghaei, J (Author) Other; Shafie Khah, M (Author) Other; Catalao, JPS (Author) FEUP

Journal

Title: IEEE Transactions on Smart Grid

Vol. 11

Pages: 4833-4846

ISSN: 1949-3053

Publisher: IEEE

Indexing

ISI Web of Knowledge - 17 Citations

Scopus - 22 Citations

Other information

Authenticus ID: P-00S-WA3

DOI: 10.1109/tsg.2020.3004488

Abstract (EN): Wind power curtailment (WPC) occurs because of the non-correlation between wind power generation (WPG) and load, and also due to the fast sub-hourly variations of WPG. Recently, advances in energy storage technologies facilitate the use of bulk energy storage units (ESUs) to provide the ramping required to respond to fast sub-hourly variations of WPGs. To minimize the sub-hourly WPC probability, this paper addresses a generic continuous-time risk-based model for sub-hourly scheduling of energy generating units and bulk ESUs in the day-ahead unit commitment (UC) problem. Accordingly, the Bernstein polynomials are hosted to model the continuous-time risk-based UC problem with ESU constraints. Also, the proposed continuous-time risk-based model ensures that the generating units and ESUs track the sub-hourly variations of WPG, while the load and generation are balanced in each sub-hourly intervals. Finally, the performance of the proposed model is demonstrated by simulating the IEEE 24-bus Reliability and Modified IEEE 118-bus test systems.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14