NDLI: Interval based robust chance constrained allocation of demand response programs in wind integrated power systems

Content Provider	IET Digital Library
Author	Nikoobakht, Ahmad Aghaei, Jamshid khah, Miadreza Shafie Catalão, João P. S.
Abstract	This study presents an interval based robust chance constrained (IBRCC) optimisation model for allocating demand response program to effective buses of the power systems considering wind uncertainty and equipment failures. In the proposed formulation, an interval based robust approach is applied to evaluate the highest uncertainty spectrum of the wind power generation that the power system can tolerate. Accordingly, to cope with the uncertainty sources, chance-based constraints are implemented. In the proposed IBRCC optimisation framework, the level of the optimal solution robustness is probabilistically maximised subject to a set of operational constraints. Besides, to facilitate the massive integration of uncertain wind generation and to mitigate congestion in the transmission grid, an efficient allocation, and scheduling scheme of demand response programs is proposed. The proposed model is evaluated on the IEEE 24 bus system.
Starting Page	930
Ending Page	939
Page Count	10
ISSN	17521416
Volume Number	13
e-ISSN	17521424
Issue Number	Issue 6, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/13/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2018.5635
Journal	IET Renewable Power Generation
Publisher Date	2018-12-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Chance-based Constraint Demand Response Program Demand Side Management Equipment Failure Highest Uncertainty Spectrum IBRCC Optimisation Framework IBRCC Optimisation Model IEEE 24 Bus System Interval Based Robust Approach Interval Based Robust Chance Constrained Optimisation Model Optimal Solution Robustness Optimisation Optimisation Technique Power Generation Scheduling Power System Economics Power System Managemen Power System Operation Uncertain Wind Generation Uncertainty Source Wind Integrated Power System Wind Power Generation Wind Power Plant Wind Uncertainty
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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