Development of Electricity Demand Estimation Modelin Distribution Network Based on Grid-Square Statistics
Loading...
Paper number
1419
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Kunii, Yasuyuki, Chubu Electric Power Co.-Inc., Japan
Takemura, Junzou, Chubu Electric Power Co. Inc., Japan
Matsuki, Tetsuya, Nagoya University, Japan
Imanaka, Masaki, Nagoya University, Japan
Kurimoto, Muneaki, Nagoya University, Japan
Sugimoto, Shigeyuki, Nagoya University, Japan
Kato, Takeyoshi, Nagoya University, Japan
Takemura, Junzou, Chubu Electric Power Co. Inc., Japan
Matsuki, Tetsuya, Nagoya University, Japan
Imanaka, Masaki, Nagoya University, Japan
Kurimoto, Muneaki, Nagoya University, Japan
Sugimoto, Shigeyuki, Nagoya University, Japan
Kato, Takeyoshi, Nagoya University, Japan
Abstract
In order to realize effective asset management of a number of distribution networks, utilization status of individual network should be evaluated by taking into account not only the current situation but also the future situation. As a first step for this purpose, this study proposes a model to estimate the time-series of electricity demand for a year in arbitrary distribution network and examines the usefulness of the proposed model. The model is based on the publically available statistics. The aggregated electricity demand in each distribution network is calculated by determining the service territory based on map information. This study evaluates the accuracy of estimated model by comparing the estimated demand with observed demand for typical distribution networks. As an example of application of proposed model, the residual load characteristics in the case of high penetration of photovoltaic power generation and increased electrification ratio of energy demand is evaluated for various distribution networks in the Chubu region, Japan.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/409
http://dx.doi.org/10.34890/636
http://dx.doi.org/10.34890/636
ISSN
2032-9644
ISBN
978-2-9602415-0-1