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Title: Transmission Network Expansion Planning under Demand Uncertainty and Risk Aversion
Authors: João Claro
Issue Date: 2012
Abstract: Explicit incorporation of uncertainty in transmission network design can help improve the balance between important concerns such as network utilization, demand satisfaction, or dynamic sourcing. We present a mean-risk mixed integer linear programming model for transmission network expansion planning, and use it to search for network design insights, with a study of loss-averse design of three fundamental network building blocks - an independent design, a radial design, and a meshed design.
metadata.dc.type: article
Appears in Collections:CITE - Articles in International Journals

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