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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

Hideharu KOJIMA

Osaka University

Tatsuhiro TSUCHIYA

Osaka University

Yasumasa FUJISAKI

Osaka University

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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 -