Coordinated Scheduling of Demand Response Aggregators and Customers in an Uncertain Environment

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Saber Talari (Author) Other; Miadreza Shafie-khah (Author) Other; Fei Wang (Author) Other; João P. S. Catalão (Author) FEUP

Conference proceedings International

Title: 2018 Power Systems Computation Conference (PSCC)

Pages: 1-7

Indexing

ISI Web of Knowledge - 0 Citations

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INSPEC

Other information

Authenticus ID: P-00P-NXF

DOI: 10.23919/pscc.2018.8442721

Abstract (EN): In this paper, a methodology to offer new potential of DR in real-time is presented. Since customers likely have extra possibilities for demand response (DR) participation in real-time, in addition to their scheduled potential in day-ahead, this method helps to provide balance in real-time market via DR aggregators. It can be vital once the stochastic variables of the network such as wind power generators (WPG) do not follow the forecasted production in real-time and have some distortions. Stochastic two-stage programming is applied to manage DR options, including load curtailment (LC), load shifting (LS), and load recovery (LR) in both day-ahead and real-time market. DR options in real-time are scheduled based on possible scenarios that reflect the behavior 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, which shows a reduction in total operation cost.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7