Application of a logistical optimization method to optimize existing low-voltage grids

G. Schlömer; L. Hofmann

doi:10.1109/isgteurope.2017.8260185

Application of a logistical optimization method to optimize existing low-voltage grids

G. Schlömer
, L. Hofmann

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Abstract

This paper shows how classical logistical planning problems (ware-house-location problems) can be applied to the optimization of low-voltage grids. The suggested solution is an iterative combination of two different algorithms. The Repeated Matching Algorithm for finding the site for the substation and its supply area and the formulation of an integer linear optimization problem for optimal grid expansion. The objective is the determination of substation sites, their type and the supply area as well as the position of any necessary additional lines, in which the overall costs are at a minimum. In the first part of the paper, the basic method of the Repeated Matching Heuristic is explained. The second part is an example of a real low-voltage grid of a small town.

Original language	English
Title of host publication	2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538619537
DOIs	https://doi.org/10.1109/isgteurope.2017.8260185
Publication status	Published - 1 Sept 2017

UN Sustainable Development Goals (SDGs)

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

distribution networks
heuristic programming
integer programming
linear programming
logistics
production planning
smart power grids
substations
warehousing
integer linear optimization problem
low-voltage grid
logistical optimization method
classical logistical planning problem
ware-house-location problem
different algorithm
repeated matching algorithm
substation
Optimization
Symmetric matrices
Planning
Substations
Power cables
Linear programming
Smart grids
Power grids
smart grid
grid expansion
LV-grid optimization
Repeated Matching Algorithm
Grid expansion
Repeated matching algorithm
Smart grid

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Computer Networks and Communications

Access to Document

10.1109/isgteurope.2017.8260185

Cite this

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title = "Application of a logistical optimization method to optimize existing low-voltage grids",

abstract = "This paper shows how classical logistical planning problems (ware-house-location problems) can be applied to the optimization of low-voltage grids. The suggested solution is an iterative combination of two different algorithms. The Repeated Matching Algorithm for finding the site for the substation and its supply area and the formulation of an integer linear optimization problem for optimal grid expansion. The objective is the determination of substation sites, their type and the supply area as well as the position of any necessary additional lines, in which the overall costs are at a minimum. In the first part of the paper, the basic method of the Repeated Matching Heuristic is explained. The second part is an example of a real low-voltage grid of a small town.",

keywords = "distribution networks, heuristic programming, integer programming, linear programming, logistics, production planning, smart power grids, substations, warehousing, integer linear optimization problem, low-voltage grid, logistical optimization method, classical logistical planning problem, ware-house-location problem, different algorithm, repeated matching algorithm, substation, Optimization, Symmetric matrices, Planning, Substations, Power cables, Linear programming, Smart grids, Power grids, smart grid, grid expansion, LV-grid optimization, Repeated Matching Algorithm, Grid expansion, Repeated matching algorithm, Smart grid",

author = "G. Schl{\"o}mer and L. Hofmann",

note = "Funding information: This article has a long, albeit interrupted, history and benefits from the generous support provided by various institutions: Andrew W. Mellon East-Central European Research Fellows Program (Wissenschafts-kolleg zu Berlin, 2005/2006), The Lanckoro?ski Foundation (Rome, 2007), Alexander von Humboldt Stiftung (Humboldt Universit{\"a}t zu Berlin and Zentralinstitut f{\"u}r Kunstgeschichte, Munich, 2010), as well as the National Science Centre, Poland (grant no. 2013/09/B/HS2/01444). I would also like to express my sincere gratitude to Zuzanna Sarnecka and Tomasz P?{\'o}ciennik for their unfailling linguistic assistance in English and Latin respectively. This article has a long, albeit interrupted, history and benefits from the generous support provided by various institutions: Andrew W. Mellon East-Central European Research Fellows Program (Wissenschaftskolleg zu Berlin, 2005/2006), The Lanckoro?ski Foundation (Rome, 2007), Alexander von Humboldt Stiftung (Humboldt Universit{\"a}t zu Berlin and Zentralinstitut f{\"u}r Kunstgeschichte, Munich, 2010), as well as the National Science Centre, Poland (grant no. 2013/09/B/HS2/01444). I would also like to express my sincere gratitude to Zuzanna Sarnecka and Tomasz P?{\'o}ciennik for their unfailling linguistic assistance in English and Latin respectively.",

year = "2017",

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doi = "10.1109/isgteurope.2017.8260185",

language = "English",

pages = "1--6",

booktitle = "2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings",

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T1 - Application of a logistical optimization method to optimize existing low-voltage grids

AU - Schlömer, G.

AU - Hofmann, L.

N1 - Funding information: This article has a long, albeit interrupted, history and benefits from the generous support provided by various institutions: Andrew W. Mellon East-Central European Research Fellows Program (Wissenschafts-kolleg zu Berlin, 2005/2006), The Lanckoro?ski Foundation (Rome, 2007), Alexander von Humboldt Stiftung (Humboldt Universität zu Berlin and Zentralinstitut für Kunstgeschichte, Munich, 2010), as well as the National Science Centre, Poland (grant no. 2013/09/B/HS2/01444). I would also like to express my sincere gratitude to Zuzanna Sarnecka and Tomasz P?óciennik for their unfailling linguistic assistance in English and Latin respectively. This article has a long, albeit interrupted, history and benefits from the generous support provided by various institutions: Andrew W. Mellon East-Central European Research Fellows Program (Wissenschaftskolleg zu Berlin, 2005/2006), The Lanckoro?ski Foundation (Rome, 2007), Alexander von Humboldt Stiftung (Humboldt Universität zu Berlin and Zentralinstitut für Kunstgeschichte, Munich, 2010), as well as the National Science Centre, Poland (grant no. 2013/09/B/HS2/01444). I would also like to express my sincere gratitude to Zuzanna Sarnecka and Tomasz P?óciennik for their unfailling linguistic assistance in English and Latin respectively.

PY - 2017/9/1

Y1 - 2017/9/1

N2 - This paper shows how classical logistical planning problems (ware-house-location problems) can be applied to the optimization of low-voltage grids. The suggested solution is an iterative combination of two different algorithms. The Repeated Matching Algorithm for finding the site for the substation and its supply area and the formulation of an integer linear optimization problem for optimal grid expansion. The objective is the determination of substation sites, their type and the supply area as well as the position of any necessary additional lines, in which the overall costs are at a minimum. In the first part of the paper, the basic method of the Repeated Matching Heuristic is explained. The second part is an example of a real low-voltage grid of a small town.

AB - This paper shows how classical logistical planning problems (ware-house-location problems) can be applied to the optimization of low-voltage grids. The suggested solution is an iterative combination of two different algorithms. The Repeated Matching Algorithm for finding the site for the substation and its supply area and the formulation of an integer linear optimization problem for optimal grid expansion. The objective is the determination of substation sites, their type and the supply area as well as the position of any necessary additional lines, in which the overall costs are at a minimum. In the first part of the paper, the basic method of the Repeated Matching Heuristic is explained. The second part is an example of a real low-voltage grid of a small town.

KW - distribution networks

KW - heuristic programming

KW - integer programming

KW - linear programming

KW - logistics

KW - production planning

KW - smart power grids

KW - substations

KW - warehousing

KW - integer linear optimization problem

KW - low-voltage grid

KW - logistical optimization method

KW - classical logistical planning problem

KW - ware-house-location problem

KW - different algorithm

KW - repeated matching algorithm

KW - substation

KW - Optimization

KW - Symmetric matrices

KW - Planning

KW - Substations

KW - Power cables

KW - Linear programming

KW - Smart grids

KW - Power grids

KW - smart grid

KW - grid expansion

KW - LV-grid optimization

KW - Repeated Matching Algorithm

KW - Grid expansion

KW - Repeated matching algorithm

KW - Smart grid

UR - https://www.scopus.com/pages/publications/85046267738

U2 - 10.1109/isgteurope.2017.8260185

DO - 10.1109/isgteurope.2017.8260185

M3 - Conference contribution

SP - 1

EP - 6

BT - 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings

ER -

Application of a logistical optimization method to optimize existing low-voltage grids

Abstract

UN Sustainable Development Goals (SDGs)

Keywords

ASJC Scopus subject areas

Access to Document

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