An aggregated multi-cut decomposition algorithm for two-stage transmission expansion planning problems

Hui Zhang; Vijay Vittal; Gerald Heydt

doi:10.1109/PESGM.2015.7285608

An aggregated multi-cut decomposition algorithm for two-stage transmission expansion planning problems

Hui Zhang, Vijay Vittal, Gerald Heydt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

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.

Original language	English (US)
Title of host publication	IEEE Power and Energy Society General Meeting
Publisher	IEEE Computer Society
Volume	2015-September
ISBN (Print)	9781467380409
DOIs	https://doi.org/10.1109/PESGM.2015.7285608
State	Published - Sep 30 2015
Event	IEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States Duration: Jul 26 2015 → Jul 30 2015

Other

Other	IEEE Power and Energy Society General Meeting, PESGM 2015
Country	United States
City	Denver
Period	7/26/15 → 7/30/15

Keywords

Algorithm
decomposition
L-shaped method
transmission expansion planning
uncertainty

ASJC Scopus subject areas

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

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Zhang, H, Vittal, V & Heydt, G 2015, An aggregated multi-cut decomposition algorithm for two-stage transmission expansion planning problems. in IEEE Power and Energy Society General Meeting. vol. 2015-September, 7285608, IEEE Computer Society, IEEE Power and Energy Society General Meeting, PESGM 2015, Denver, United States, 7/26/15. https://doi.org/10.1109/PESGM.2015.7285608

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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, decomposition, L-shaped method, transmission expansion planning, uncertainty",

author = "Hui Zhang and Vijay Vittal and Gerald Heydt",

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doi = "10.1109/PESGM.2015.7285608",

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AU - Zhang, Hui

AU - Vittal, Vijay

AU - Heydt, Gerald

PY - 2015/9/30

Y1 - 2015/9/30

N2 - 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.

AB - 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.

KW - Algorithm

KW - decomposition

KW - L-shaped method

KW - transmission expansion planning

KW - uncertainty

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DO - 10.1109/PESGM.2015.7285608

M3 - Conference contribution

AN - SCOPUS:84956860791

SN - 9781467380409

VL - 2015-September

BT - IEEE Power and Energy Society General Meeting

PB - IEEE Computer Society

T2 - IEEE Power and Energy Society General Meeting, PESGM 2015

Y2 - 26 July 2015 through 30 July 2015

ER -

An aggregated multi-cut decomposition algorithm for two-stage transmission expansion planning problems

Abstract

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Keywords

ASJC Scopus subject areas

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