Short-term photovoltaic prediction by using H∞ filtering and clustering

Yasuhiko Hosoda; Toru Namerikawa

Short-term photovoltaic prediction by using H_∞ filtering and clustering

Yasuhiko Hosoda, Toru Namerikawa

Department of System Design Engineering

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

12 Citations (Scopus)

Abstract

This paper deals with prediction algorithm applying for photovoltaic (PV) systems in smart grid. This prediction is aim to predict the amount of the next day of generation using the previous data and the weather forecast which get from Japan Meteorological Agency. The procedure of prediction consists of two steps, the data processing and the unknown parameters estimation. In the data processing, our proposed method considers the characteristics of PV generation using cluster ensemble. We propose the cluster ensemble based on k-means to choose the groups with a correlation with previous data. In the unknown parameters estimation, we provide the regression model for PV generation and the unknown parameters are estimated via H_∞ filtering. The effectiveness of the proposed prediction method is demonstrated through numerical simulations.

Original language	English
Title of host publication	2012 Proceedings of SICE Annual Conference, SICE 2012
Publisher	Society of Instrument and Control Engineers (SICE)
Pages	119-124
Number of pages	6
ISBN (Print)	9781467322591
Publication status	Published - 2012 Jan 1
Event	2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan Duration: 2012 Aug 20 → 2012 Aug 23

Publication series

Name	Proceedings of the SICE Annual Conference

Other

Other	2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
Country/Territory	Japan
City	Akita
Period	12/8/20 → 12/8/23

Keywords

Clustering
Estimation
PV
Prediction
Short-term
Smart Grid
k-means

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

UN SDGs

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

Cite this

Short-term photovoltaic prediction by using H_∞ filtering and clustering. / Hosoda, Yasuhiko; Namerikawa, Toru.

2012 Proceedings of SICE Annual Conference, SICE 2012. Society of Instrument and Control Engineers (SICE), 2012. p. 119-124 6318419 (Proceedings of the SICE Annual Conference).

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

Hosoda, Y & Namerikawa, T 2012, Short-term photovoltaic prediction by using H_∞ filtering and clustering. in 2012 Proceedings of SICE Annual Conference, SICE 2012., 6318419, Proceedings of the SICE Annual Conference, Society of Instrument and Control Engineers (SICE), pp. 119-124, 2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012, Akita, Japan, 12/8/20.

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