Transmission Network Expansion Planning under Demand Uncertainty and Risk Aversion

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.