NDLI: Policy-driven planning of distribution automation, using mixed integer non-linear programming

Content Provider	IEEE Xplore Digital Library
Author	Hosseini, M.M. Fereidunian, A. Bathaee, S.M.T.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran (Hosseini, M.M.; Fereidunian, A.; Bathaee, S.M.T.)
Abstract	Feeder automation (FA) is a major function of distribution automation (DA) and according to economic analysis is the most beneficial one. Since implementing FA is an expensive time-consuming process, it is important to find a way to recognize the most economic timing schedule to start FA implementation on. In this paper a novel method is proposed that uses mixed integer non-linear programming to evaluate the economic aspects of FA on feeders and to find the optimal schedule to implement FA. In addition to Energy Not Served (ENS) index that shows supplier's financial loss, we will consider Customer Energy Interrupted (CEI) index that represents financial loss of different types of customers (industrial, commercial or residential). Since reducing CEI index brings an indirect profit for suppliers, different scenarios are introduced to take CEI index into account. These scenarios are based on policies and administration of distribution companies. The method is tested on a three feeder test network using sbb solver of GAMS and improved results are presented.
Starting Page	1
Ending Page	6
File Size	744307
Page Count	6
File Format	PDF
e-ISBN	9781479956364
DOI	10.1109/EPDC.2014.6867489
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-06
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Substations Mixed integer non-linear programming (MINLP) Optimal scheduling Network reliability improvement Indexes Sun Feeder automation (FA)
Content Type	Text
Resource Type	Article

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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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