The Aggregation Point Placement Problem for Power Distribution Systems
Summary :
This paper discusses the collection of sensor data for power distribution systems. In current power distribution systems, this is usually performed solely by the Remote Terminal Unit (RTU) which is located at the root of a power distribution network. The recent rise of distributed power sources, such as photovoltaic generators, raises the demand to increase the frequency of data collection because the output of these distributed generators varies quickly depending on the weather. Increasing data collection frequency in turn requires shortening the time required for data collection. The paper proposes the use of aggregation points for this purpose. An aggregation point can collect sensor data concurrently with other aggregation points as well as with the RTU. The data collection time can be shortened by having the RTU receive data from aggregation points, instead of from all sensors. This approach then poses the problem of finding the optimal location of aggregation points. To solve this problem, the paper proposes a Mixed Integer Linear Problem (MILP) formulation of the problem. The MILP problem can then be solved with off-the-shelf mathematical optimization software. The results of experiments show that the proposed approach is applicable to rather large scale power distribution systems.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.7 pp.1074-1082
- Publication Date
- 2018/07/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.1074
- Type of Manuscript
- PAPER
- Category
- Graphs and Networks
Authors
Hideharu KOJIMA
Osaka University
Tatsuhiro TSUCHIYA
Osaka University
Yasumasa FUJISAKI
Osaka University
Keyword
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Hideharu KOJIMA, Tatsuhiro TSUCHIYA, Yasumasa FUJISAKI, "The Aggregation Point Placement Problem for Power Distribution Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 7, pp. 1074-1082, July 2018, doi: 10.1587/transfun.E101.A.1074.
Abstract: This paper discusses the collection of sensor data for power distribution systems. In current power distribution systems, this is usually performed solely by the Remote Terminal Unit (RTU) which is located at the root of a power distribution network. The recent rise of distributed power sources, such as photovoltaic generators, raises the demand to increase the frequency of data collection because the output of these distributed generators varies quickly depending on the weather. Increasing data collection frequency in turn requires shortening the time required for data collection. The paper proposes the use of aggregation points for this purpose. An aggregation point can collect sensor data concurrently with other aggregation points as well as with the RTU. The data collection time can be shortened by having the RTU receive data from aggregation points, instead of from all sensors. This approach then poses the problem of finding the optimal location of aggregation points. To solve this problem, the paper proposes a Mixed Integer Linear Problem (MILP) formulation of the problem. The MILP problem can then be solved with off-the-shelf mathematical optimization software. The results of experiments show that the proposed approach is applicable to rather large scale power distribution systems.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1074/_p
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@ARTICLE{e101-a_7_1074,
author={Hideharu KOJIMA, Tatsuhiro TSUCHIYA, Yasumasa FUJISAKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={The Aggregation Point Placement Problem for Power Distribution Systems},
year={2018},
volume={E101-A},
number={7},
pages={1074-1082},
abstract={This paper discusses the collection of sensor data for power distribution systems. In current power distribution systems, this is usually performed solely by the Remote Terminal Unit (RTU) which is located at the root of a power distribution network. The recent rise of distributed power sources, such as photovoltaic generators, raises the demand to increase the frequency of data collection because the output of these distributed generators varies quickly depending on the weather. Increasing data collection frequency in turn requires shortening the time required for data collection. The paper proposes the use of aggregation points for this purpose. An aggregation point can collect sensor data concurrently with other aggregation points as well as with the RTU. The data collection time can be shortened by having the RTU receive data from aggregation points, instead of from all sensors. This approach then poses the problem of finding the optimal location of aggregation points. To solve this problem, the paper proposes a Mixed Integer Linear Problem (MILP) formulation of the problem. The MILP problem can then be solved with off-the-shelf mathematical optimization software. The results of experiments show that the proposed approach is applicable to rather large scale power distribution systems.},
keywords={},
doi={10.1587/transfun.E101.A.1074},
ISSN={1745-1337},
month={July},}
Copy
TY - JOUR
TI - The Aggregation Point Placement Problem for Power Distribution Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1074
EP - 1082
AU - Hideharu KOJIMA
AU - Tatsuhiro TSUCHIYA
AU - Yasumasa FUJISAKI
PY - 2018
DO - 10.1587/transfun.E101.A.1074
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2018
AB - This paper discusses the collection of sensor data for power distribution systems. In current power distribution systems, this is usually performed solely by the Remote Terminal Unit (RTU) which is located at the root of a power distribution network. The recent rise of distributed power sources, such as photovoltaic generators, raises the demand to increase the frequency of data collection because the output of these distributed generators varies quickly depending on the weather. Increasing data collection frequency in turn requires shortening the time required for data collection. The paper proposes the use of aggregation points for this purpose. An aggregation point can collect sensor data concurrently with other aggregation points as well as with the RTU. The data collection time can be shortened by having the RTU receive data from aggregation points, instead of from all sensors. This approach then poses the problem of finding the optimal location of aggregation points. To solve this problem, the paper proposes a Mixed Integer Linear Problem (MILP) formulation of the problem. The MILP problem can then be solved with off-the-shelf mathematical optimization software. The results of experiments show that the proposed approach is applicable to rather large scale power distribution systems.
ER -
English
