Data mining method for battery operation optimization in photovoltaics

Katsunori Sato*, Shinji Wakao

*この研究の対応する著者

研究成果査読

6 被引用数 (Scopus)

抄録

Recently, a photovoltaic (PV) system has attracted attention because of serious environmental and energy problems. In near future, PV systems intensively connected to the grid will bring about the difficulties in the power system operation. As a countermeasure, this paper deals with the introduction of storage battery for making the unstable PV power controllable. In this regard, when we introduce a storage battery into a PV system, we have to consider the advantages and disadvantages. In order to evaluate the system from various perspectives, we have carried out multi-objective optimization of battery operation in PV system design. However, as the number of objective functions increases, it becomes difficult to appropriately interpret the correlation among objective functions and design variables. With this background, in this paper, a novel computational method is proposed for data mining of PV system design, in which we make an attempt to effectively extract the design information of the battery system with the use of Self-Organizing Map (SOM).

本文言語English
ページ(範囲)313-319+4
ジャーナルIEEJ Transactions on Power and Energy
130
3
DOI
出版ステータスPublished - 2010 4 22

ASJC Scopus subject areas

  • エネルギー工学および電力技術
  • 電子工学および電気工学

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