Details
| 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 |
| Publication status | Published - 1 Sept 2017 |
Abstract
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(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
- Computer Science(all)
- Computer Networks and Communications
Sustainable Development Goals
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2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings. 2017. p. 1-6.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
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 - http://www.scopus.com/inward/record.url?scp=85046267738&partnerID=8YFLogxK
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 -