This paper proposes a chance constrained formulation to tackle the uncertainties of load
and wind turbine generator in transmission network expansion planning. A combined Monte …

This paper provides an overview of the key contributions within the planning and scheduling
communities with specific emphasis on uncertainty analysis. As opposed to focusing in one …

The unbundling of the electricity industry introduced new uncertainties and escalated the
existing ones in transmission expansion planning. In this paper, a multi-stage transmission …

This paper proposes a robust transmission network expansion planning (RTNEP) method
with Taguchi's orthogonal array testing (TOAT) which considers generation dispatch and …

Current commercial software tools for transmission and generation investment planning
have limited stochastic modeling capabilities. Because of this limitation, electric power …

Two-stage robust optimization has emerged as a relevant approach to deal with uncertain
demand and generation capacity in the transmission network expansion planning problem …

This study approaches a multi-stage stochastic mixed-integer programming model for the
high-level complexity of large-scale pavement maintenance scheduling problems. The …

This paper proposes a novel method for transmission network expansion planning (TNEP)
that take into account uncertainties in loads and renewable energy resources. The goal of …

Expanding an electrical transmission network requires heavy investments that need to be
carefully planned, often at a regional or national level. We study relevant theoretical and …

Traditional transmission planning usually caters for rated wind power output. Due to the low
occurrence probability of nominal capacity of wind power and huge investment in …