A technique for SC renewal planning considering optimal allocation and life cycle cost

Katsuyuki Kimura, Yuta Tanaka, Shinichi Iwamoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    During the high economic growth era in the world, the power of demand has been increasing sharply year by year. Therefore, the electric power utilities have installed Shunt Capacitors (SCs) for the predicted demand. Meanwhile, some SCs have become aged because they have been used for a long time. Therefore, they have to be replaced when they reach their life limit. It is important to renew aged SCs efficiently and economically. In this paper, we propose a totally new SC renewal planning scheme, using the Dispersed Hybrid Particle Swarm Optimization (DHPSO) method for optimal SC allocation. We also propose a SC life cycle cost (SCLCC) equation that estimates the SC renewal cost. Finally, we run simulations for the IEEJ 30 machine 115 bus system to confirm the validity of the proposed method.

    Original languageEnglish
    Title of host publication2010 9th International Power and Energy Conference, IPEC 2010
    Pages1-6
    Number of pages6
    DOIs
    Publication statusPublished - 2010
    Event2010 9th International Power and Energy Conference, IPEC 2010 - Singapore
    Duration: 2010 Oct 272010 Oct 29

    Other

    Other2010 9th International Power and Energy Conference, IPEC 2010
    CitySingapore
    Period10/10/2710/10/29

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    Keywords

    • Component
    • Dispersed hybrid particle swarm optimization
    • L-index
    • Life cycle cost
    • N-1 contingency
    • Optimal allocation
    • Shunt capacitor
    • Voltage stability

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology

    Cite this

    Kimura, K., Tanaka, Y., & Iwamoto, S. (2010). A technique for SC renewal planning considering optimal allocation and life cycle cost. In 2010 9th International Power and Energy Conference, IPEC 2010 (pp. 1-6). [5697120] https://doi.org/10.1109/IPECON.2010.5697120