NDLI: Economic dispatch coordinated with information granule chance constraint goal programming under the manifold uncertainties

Content Provider	IET Digital Library
Author	Yin, Jiafu Zhao, Dongmei
Abstract	With the increasing integration of wind power and demand response into power system, the complex uncertainties from supply-side and demand-side have brought great challenges to daily operation of the power system. It is essential for enabling a comprehensive and adequate consideration of the manifold uncertainties in the grid. In this study, information granule chance constraint goal programming (IGCCGP) is proposed by a combination of chance constraint goal programming and information granule to provide a uniform representation of the multifaceted uncertainties. Leveraging on IGCCGP, the reserve constraints and branch flow constraints for accommodating the complex uncertainties in the grid are developed and the economic dispatch model considering the combined uncertainties from both supply-side and demand-side is established. To accelerate model solutions without losing much of model accuracy, the deviation in the IGCCGP is transformed to a deterministic equivalent and the optimal schedule is obtained by a mixed linear integer programming. Finally, a computational study is illustrated in the IEEE 39-bus system to verify the efficiency of the proposed method.
Starting Page	1329
Ending Page	1337
Page Count	9
ISSN	17521416
Volume Number	13
e-ISSN	17521424
Issue Number	Issue 8, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2018.5329
Journal	IET Renewable Power Generation
Publisher Date	2019-02-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Branch Flow Constraint Combined Uncertainties Complex Uncertainties Demand Response Economic Dispatch Model IGCCGP Information Granule Chance Constraint Goal Programming Integer Programming Linear Programming Load Dispatching Manifold Uncertainties Mathematical Programming Multifaceted Uncertainties Optimisation Optimisation Technique Power Generation Dispatch Power Generation Economics Power System Power System Economics Power System Managemen Power System Operation Power System Security Reserve Constraint Scheduling Stochastic Programming Wind Power
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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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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