Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output

被引：0

作者：

Kawanobe, Akito ^{[1
]}

Wakao, Shinji ^{[1
]}

Taima, Tomoya ^{[2
]}

Kanno, Norihiro ^{[2
]}

Mabuchi, Hiroyuki ^{[2
]}

机构：

[1] Waseda Univ, Shinjyuku Ku, Tokyo 1698555, Japan

[2] Tokyo Elect Power Co Holdings Inc, Yokohama, Kanagawa 2308510, Japan

来源：

2019 IEEE 46TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC) | 2019年

关键词：

photovoltaic output; reverse power flow; apparent demand prediction; power distribution system; cluster analysis;

D O I：

10.1109/pvsc40753.2019.8980571

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In Japan, self-consumption of PV output will increase after the Feed-in tariff program will be over. Thus, the apparent demand curve of the entire distribution system will be more complicate. With the above background, this paper proposes the prediction method of apparent demand by combining representative waveforms of actual power demand and PV output derived from cluster analysis. Some numerical examples, which demonstrate the validity of the proposed method, are also presented.

引用

页码：2121 / 2125

页数：5

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