@inproceedings{2cebea983f484226957a232cc6a315a7,
title = "An aggregated multi-cut decomposition algorithm for two-stage transmission expansion planning problems",
abstract = "The L-shaped method is a decomposition algorithm that is commonly used to solve large-scale two-stage stochastic programming problems. The classic single-cut L-shaped method usually suffer the performance issue because only a single optimality cut is applied at each major iteration. This paper presents an aggregated multi-cut version of the L-shaped method for solving two-stage transmission expansion planning (TEP) problems. This algorithm allows the user to control the aggregation level of the optimality cuts so that the overall computational performance can be improved. Simulation results show that the proposed algorithm is computationally more efficient than the classical L-shaped method.",
keywords = "Algorithm, L-shaped method, decomposition, transmission expansion planning, uncertainty",
author = "Hui Zhang and Vijay Vittal and Gerald Heydt",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Power and Energy Society General Meeting, PESGM 2015 ; Conference date: 26-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "30",
doi = "10.1109/PESGM.2015.7285608",
language = "English (US)",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
booktitle = "2015 IEEE Power and Energy Society General Meeting, PESGM 2015",
}