Optimal location problem for the installation of power flow controller

Takayuki Shiina, Jun Imaizumi, Susumu Morito, Chunhui Xu

    Research output: Contribution to journalArticle

    Abstract

    In power delivery systems, the use of dispersed generation and security control to improve network utilization requires the optimal use of system control devices. The installation of loop controller allows the distribution system to operate in a loop configuration, achieving effective management of voltage and power flow. In the investment planning process, it is important to identify the optimal location and installed capacity of the equipment such that all operational constraints are satisfied. This paper presents a method for identifying the optimal location and capacity with the minimum installation cost. Our novel approach uses an economic model that considers the fixed costs. A slope scaling procedure is presented, and its efficiency is demonstrated using numerical experiments.

    Original languageEnglish
    Pages (from-to)509-524
    Number of pages16
    JournalPesquisa Operacional
    Volume37
    Issue number3
    DOIs
    Publication statusPublished - 2017 Sep 1

    Fingerprint

    Controller
    Location problem
    Fixed costs
    Planning process
    Investment planning
    Numerical experiment
    Scaling
    Distribution system
    Costs

    Keywords

    • Linear approximation
    • Loop controller
    • Optimal power flow
    • Optimization
    • Power system
    • Stochastic programming

    ASJC Scopus subject areas

    • Management Science and Operations Research

    Cite this

    Optimal location problem for the installation of power flow controller. / Shiina, Takayuki; Imaizumi, Jun; Morito, Susumu; Xu, Chunhui.

    In: Pesquisa Operacional, Vol. 37, No. 3, 01.09.2017, p. 509-524.

    Research output: Contribution to journalArticle

    Shiina, Takayuki ; Imaizumi, Jun ; Morito, Susumu ; Xu, Chunhui. / Optimal location problem for the installation of power flow controller. In: Pesquisa Operacional. 2017 ; Vol. 37, No. 3. pp. 509-524.
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