NDLI: A multiyear dynamic approach for transmission expansion planning and long-term marginal costs computation

Content Provider	IEEE Xplore Digital Library
Author	Braga, A.S.D. Saraiva, J.T.
Copyright Year	1969
Abstract	This paper presents a multicriteria formulation for multiyear dynamic transmission expansion planning problems. This formulation considers three criteria: investment costs, operation costs, and the expected energy not supplied. The solution algorithm adopts an interactive decision-making approach that starts at a nondominated solution of the problem. This solution is identified transforming two of the three criteria in constraints specifying aspiration levels and using afterwards simulated annealing to deal with the integer nature of investment decisions. After obtaining this first solution, the decision maker can alter the aspiration levels and run the application again to obtain a new solution. Once an expansion plan is accepted, the algorithm computes long-term marginal costs, reflecting both investment and operation costs. These costs are more stable than short-term ones and inherently address the revenue reconciliation problem well known in short-term approaches. The developed algorithm is tested using a case study based on the Portuguese 400/220/150-kV transmission network.
Sponsorship	IEEE Power Engineering Society
Starting Page	1631
Ending Page	1639
Page Count	9
File Size	289018
File Format	PDF
ISSN	08858950
Volume Number	20
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational efficiency Costs Simulated annealing Investments Counting circuits Decision making Computational modeling Testing Power supplies Variable speed drives transmission expansion planning Long-term marginal costs simulated annealing tariffs for use of networks
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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