NDLI: Generation and Transmission Expansion Planning: MILP

Content Provider	IEEE Xplore Digital Library
Author	Aghaei, J. Amjady, N. Baharvandi, A. Akbari, M.-A.
Copyright Year	1969
Abstract	This paper describes a new probabilistic model for generation and transmission expansion planning (G&TEP) problem considering reliability criteria. Probabilistic reliability criteria accounts for random generator or line outages with known historical forced outage rates (FOR). The resultant model considers the installation and operation costs as well as the cost of expected energy not supplied (EENS) to optimally determine the number and location of new generating units and circuits in the network, power generation capacity for those units and the voltage phase angle at each node. Also, efficient linear formulations are introduced in this paper to deal with the nonlinear nature of the problem including objective functions and constraints. Modified 6-bus test system, IEEE 24-bus RTS and IEEE 118-bus test system are utilized to illustrate the effectiveness of the proposed framework.
Sponsorship	IEEE Power Engineering Society
Starting Page	1592
Ending Page	1601
Page Count	10
File Size	1570099
File Format	PDF
ISSN	08858950
Volume Number	29
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Planning Reliability Probabilistic logic Power system reliability Linear programming Investment Power transmission lines mixed integer nonlinear programming (MINLP) Expected energy not supplied (EENS) generation and transmission expansion planning (G&TEP) loss of load probability (LOEP) mixed integer linear programming (MILP)
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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