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

Akito Kawanobe, Shinji Wakao, Tomoya Taima, Norihiro Kanno, Hiroyuki Mabuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2121-2125
Number of pages5
ISBN (Electronic)9781728104942
DOIs
Publication statusPublished - 2019 Jun
Event46th IEEE Photovoltaic Specialists Conference, PVSC 2019 - Chicago, United States
Duration: 2019 Jun 162019 Jun 21

Publication series

NameConference Record of the IEEE Photovoltaic Specialists Conference
ISSN (Print)0160-8371

Conference

Conference46th IEEE Photovoltaic Specialists Conference, PVSC 2019
CountryUnited States
CityChicago
Period19/6/1619/6/21

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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