Real-Time Scheduling of Demand Response Options Considering the Volatility of Wind Power Generation

• Type: Article in International Scientific Journal
• Date: 2019

Authors

Saber Talari (Author) Other; Miadreza Shafie-khah (Author) Other; Yue Chen (Author) Other; Wei Wei (Author) Other; Pedro D. Gaspar (Author) Other; João P. S. Catalão (Author) FEUP

Journal

Title: IEEE Transactions on Sustainable Energy

Vol. 10 No. 4

Pages: 1633-1643

ISSN: 1949-3029

Publisher: IEEE

Indexing

ISI Web of Knowledge - 20 Citations

Scopus - 28 Citations

INSPEC

Other information

Authenticus ID: P-00P-SVR

DOI: 10.1109/tste.2018.2868449

Abstract (EN): In this paper, a new methodology to unleash the potential of demand response (DR) in real-time is presented. Customers may tend to apply their DR potential in the real-time market in addition to their scheduled potential in the day-ahead stage. Thus, the proposed method facilitates balancing the real-time market via DR aggregators. It can be vital, once the stochastic variables of the network such as production of wind power generators do not follow the forecasted production in real-time and have some distortions. Two-stage stochastic programming is employed to schedule some DR options in both day-ahead and real-time markets. DR options in real-time are scheduled based on possible scenarios that reflect the behaviors of wind power generation and are generated through Monte-Carlo simulation method. The merits of the method are demonstrated in a 6-bus case study and in the IEEE RTS-96, which shows a notable reduction in total operation cost.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11