消費電力量と世帯属性の分類に基づく世帯群の合計消費電力量推定に関する一検討

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2016/06/01

タイトル(英語): A Study about Estimation of Aggregated Electricity Demand Based on a Classification of Electricity Demand and Household's Attributes

著者名: 森田　圭（JXエネルギー（株）／名古屋大学大学院 工学研究科 電子情報システム専攻），中野　裕一（JXエネルギー（株）），定兼　修（JXエネルギー（株）），真鍋　勇介（名古屋大学未来材料・システム研究所），加藤　丈佳（名古屋大学未来材料・システム研究所），舟橋　俊久（名古屋大学未来材料・システム研究所），鈴置　保雄（名古屋大学大学院 工学研究科 電子情報システム専攻）

著者名(英語): Kei Morita (JX Nippon Oil & Energy Corporation/Graduate School of Engineering, Nagoya University), Yuichi Nakano (JX Nippon Oil & Energy Corporation), Osamu Sadakane (JX Nippon Oil & Energy Corporation), Yusuke Manabe (Institute of Materials and Systems for Sustainability, Nagoya University), Takeyoshi Kato (Institute of Materials and Systems for Sustainability, Nagoya University), Toshihisa Funabashi (Institute of Materials and Systems for Sustainability, Nagoya University), Yasuo Suzuoki (Graduate School of Engineering, Nagoya University)

キーワード: 電力需要特性，需要パターン分類，需要推定　　Characteristics of electricity demand，Classifying with electricity demand pattern，estimation of electricity demand

要約(英語): After the liberalization of electricity market in Japan, New entry electricity suppliers start to supply electricity to residential sectors. Because they don't have as many power generation resources as conventional electric companies, they need to know whether their customer's electricity demand pattern match with their generation resources characteristics for avoid procuring shortage electricity from electricity trade market. In addition, they need to estimate electricity demand accusatory in mid to long term for business planning. In this paper, as a basic study for estimation of aggregated households' electricity demand pattern characteristics, we survey 1,720 households about their family structure and monthly electricity usage in one or two years, and evaluate monthly electricity demand characteristics to classify seasonal electricity demand ratio pattern against annual average electricity demand. As a result, we classify 1,720 households in 15 groups and correlate the household ratio of each group and household's attributes such as house type and number of family members. Then, we propose a method to estimate the monthly electricity demand of aggregated households based on the ratio of each group.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.6 （2016） 特集：エネルギーデータ利用技術

本誌掲載ページ: 802-810 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/136/6/136_802/_article/-char/ja/