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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › 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.

Originalsprache	Englisch
Titel des Sammelwerks	2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
Seiten	1-6
Seitenumfang	6
ISBN (elektronisch)	9781538619537
DOIs	https://doi.org/10.1109/isgteurope.2017.8260185
Publikationsstatus	Veröffentlicht - 1 Sept. 2017

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10.1109/isgteurope.2017.8260185

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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.",

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doi = "10.1109/isgteurope.2017.8260185",

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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.

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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.

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KW - linear programming

KW - logistics

KW - production planning

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KW - warehousing

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KW - low-voltage grid

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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

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DO - 10.1109/isgteurope.2017.8260185

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

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