Data mining method for battery operation optimization in photovoltaics

Katsunori Sato, Shinji Wakao

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    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
    JournalIEEJ Transactions on Power and Energy
    Volume130
    Issue number3
    DOIs
    Publication statusPublished - 2010

    Fingerprint

    Data mining
    Systems analysis
    Self organizing maps
    Computational methods
    Multiobjective optimization

    Keywords

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

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Energy Engineering and Power Technology

    Cite this

    Data mining method for battery operation optimization in photovoltaics. / Sato, Katsunori; Wakao, Shinji.

    In: IEEJ Transactions on Power and Energy, Vol. 130, No. 3, 2010.

    Research output: Contribution to journalArticle

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