Data mining method for battery operation optimization in photovoltaics

Katsunori Sato*, Shinji Wakao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


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).

Original languageEnglish
Pages (from-to)313-319+4
JournalIEEJ Transactions on Power and Energy
Issue number3
Publication statusPublished - 2010


  • Multi-objective optimization
  • Pareto optimal solution
  • Photovoltaic power generation
  • Self-organizing map (SOM)
  • Storage battery

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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