NDLI: Chance-constrained programming approach to stochastic congestion management considering system uncertainties

Content Provider	IET Digital Library
Author	Hojjat, Mehrdad Javidi, Mohammad Hossein
Abstract	Considering system uncertainties in developing power system algorithms such as congestion management (CM) are a vital issue in power system analysis and studies. This study proposes a new model for network CM based on chance-constrained programming (CCP), accounting for the power system uncertainties. In the proposed approach, transmission constraints are taken into account by stochastic rather than deterministic models. The proposed approach considers network uncertainties with a specific level of probability in the optimisation process. Then, single and joint chance-constrained models are implemented on the stochastic CM. Finally, an analytical approach is used to derive the new model of the stochastic CM. In both models, the stochastic optimisation problem is transformed into an equivalent easy-to-solve deterministic problem. Effectiveness of the proposed approach is evaluated by applying the method to the IEEE 30-bus test system. The results show that the proposed CCP model outperforms the existing models as the analytical solving approach applies fewer approximations and moreover, may have less complexity and computational burden in some special situations.
Starting Page	1421
Ending Page	1429
Page Count	9
ISSN	17518687
Volume Number	9
e-ISSN	17518695
Issue Number	Issue 12, Sep (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/9/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2014.0376
Journal	IET Generation, Transmission & Distribution
Publisher Date	2015-04-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	CCP Chance-constrained Model Chance-constrained Programming Approach Equivalent Easy-to-solve Deterministic Problem IEEE 30-bus Test System Network CM Optimisation Technique Power System Algorithm Power System Analysis Power System Economics Power System Managemen Power System Management Power System Operation Power System Uncertainty Stochastic CM Stochastic Congestion Management Stochastic Optimisation Problem Stochastic Programming Transmission Constraint
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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