Impacts of Stochastic Demand Response Resource Scheduling on Large Scale Wind Power Integration

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Heydarian Forushani, E (Author) Other; Golshan, MEH (Author) Other; Shafie khah, M (Author) Other; Catalao, JPS (Author) FEUP

Conference proceedings International

Title: 2015 Australasian Universities Power Engineering Conference: Challenges for Future Grids, AUPEC 2015

25th Australasian Universities Power Engineering Conference, AUPEC 2015

27 September 2015 through 30 September 2015

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 6 Citations

Other information

Authenticus ID: P-00K-C51

DOI: 10.1109/aupec.2015.7324857

Abstract (EN): Alongside significant advantages which come through large scale integration of wind power into the grid, it imposes some essential challenges on Independent System Operators (ISOs) performance. The stochastic nature of wind power causes technical and economic impacts on power system operation. As one of the highly-flexible and low-cost solutions, demand response (DR) resources are expected to be helpful for reducing integration problems. In this regard, this paper proposes a stochastic energy and reserve scheduling framework that includes DR resources. The proposed market clearing formulation contains network constraints and considers economical, technical and environmental aspects. In order to investigate the role of DR in the improvement of wind power integration, a new index is proposed in the paper. The IEEE-RTS is selected as a test system to illustrate the effectiveness of the proposed stochastic scheduling model in wind integration.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6