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

doi:10.1109/PVSC40753.2019.8980571

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

School of Advanced Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2121-2125
Number of pages	5
ISBN (Electronic)	9781728104942
DOIs	https://doi.org/10.1109/PVSC40753.2019.8980571
Publication status	Published - 2019 Jun
Event	46th IEEE Photovoltaic Specialists Conference, PVSC 2019 - Chicago, United States Duration: 2019 Jun 16 → 2019 Jun 21

Publication series

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

Conference

Conference	46th IEEE Photovoltaic Specialists Conference, PVSC 2019
Country/Territory	United States
City	Chicago
Period	19/6/16 → 19/6/21

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PVSC40753.2019.8980571

Cite this

Kawanobe, A., Wakao, S., Taima, T., Kanno, N., & Mabuchi, H. (2019). Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output. In 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019 (pp. 2121-2125). Article 8980571 (Conference Record of the IEEE Photovoltaic Specialists Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC40753.2019.8980571

Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output. / Kawanobe, Akito; Wakao, Shinji; Taima, Tomoya et al.
2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 2121-2125 8980571 (Conference Record of the IEEE Photovoltaic Specialists Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kawanobe, A, Wakao, S, Taima, T, Kanno, N & Mabuchi, H 2019, Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output. in 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019., 8980571, Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers Inc., pp. 2121-2125, 46th IEEE Photovoltaic Specialists Conference, PVSC 2019, Chicago, United States, 19/6/16. https://doi.org/10.1109/PVSC40753.2019.8980571

Kawanobe A, Wakao S, Taima T, Kanno N, Mabuchi H. Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output. In 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 2121-2125. 8980571. (Conference Record of the IEEE Photovoltaic Specialists Conference). doi: 10.1109/PVSC40753.2019.8980571

Kawanobe, Akito ; Wakao, Shinji ; Taima, Tomoya et al. / Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output. 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 2121-2125 (Conference Record of the IEEE Photovoltaic Specialists Conference).

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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.",

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AB - 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.

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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