Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO

N. B. Salim, Takao Tsuji, Tsutomu Oyama, Kenko Uchida

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

    1 Citation (Scopus)

    Abstract

    It is necessary to meet both efficiency and reliability of power systems operations with regard of electricity demand whilst taking into account voltage stability concerns. The reactive power dispatch problem has been defined and applied with the optimization of these three objectives, which are the minimization of power loss, voltage deviation and power curtailment respectively. Many optimization problems often confronts with multi objectives decision and must choose the best trade-offs for all the specified and conflicted objectives since they are lump into one. Reactive power distribution system design with Distributed Generators (DG) presence is a multi objective problem for which it is uneasy to specify primarily due to faults and uncertainties of future demand. This paper investigates the comparison with having single and multiple objective functions via metaheuristic algorithm known as Particle Swarm Optimization (PSO). Simulation results are demonstrated well in seeking for optimal reactive power injection with regard to voltage stability vicinity.

    Original languageEnglish
    Title of host publication2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
    PublisherIEEE Computer Society
    Pages115-120
    Number of pages6
    ISBN (Electronic)9781509043033
    DOIs
    Publication statusPublished - 2016 Dec 22
    Event2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 - Melbourne, Australia
    Duration: 2016 Nov 282016 Dec 1

    Other

    Other2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
    CountryAustralia
    CityMelbourne
    Period16/11/2816/12/1

    Fingerprint

    Reactive power
    Particle swarm optimization (PSO)
    Voltage control
    Electricity
    Systems analysis
    Electric potential

    Keywords

    • Particle Swarm Optimization (PSO)
    • Photovoltaic
    • Reactive Power Control
    • Voltage Stability

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems

    Cite this

    Salim, N. B., Tsuji, T., Oyama, T., & Uchida, K. (2016). Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO. In 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 (pp. 115-120). [7796371] IEEE Computer Society. https://doi.org/10.1109/ISGT-Asia.2016.7796371

    Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO. / Salim, N. B.; Tsuji, Takao; Oyama, Tsutomu; Uchida, Kenko.

    2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016. IEEE Computer Society, 2016. p. 115-120 7796371.

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

    Salim, NB, Tsuji, T, Oyama, T & Uchida, K 2016, Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO. in 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016., 7796371, IEEE Computer Society, pp. 115-120, 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016, Melbourne, Australia, 16/11/28. https://doi.org/10.1109/ISGT-Asia.2016.7796371
    Salim NB, Tsuji T, Oyama T, Uchida K. Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO. In 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016. IEEE Computer Society. 2016. p. 115-120. 7796371 https://doi.org/10.1109/ISGT-Asia.2016.7796371
    Salim, N. B. ; Tsuji, Takao ; Oyama, Tsutomu ; Uchida, Kenko. / Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO. 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016. IEEE Computer Society, 2016. pp. 115-120
    @inproceedings{e40c151612d44d3b8dd4e3dbd6637241,
    title = "Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO",
    abstract = "It is necessary to meet both efficiency and reliability of power systems operations with regard of electricity demand whilst taking into account voltage stability concerns. The reactive power dispatch problem has been defined and applied with the optimization of these three objectives, which are the minimization of power loss, voltage deviation and power curtailment respectively. Many optimization problems often confronts with multi objectives decision and must choose the best trade-offs for all the specified and conflicted objectives since they are lump into one. Reactive power distribution system design with Distributed Generators (DG) presence is a multi objective problem for which it is uneasy to specify primarily due to faults and uncertainties of future demand. This paper investigates the comparison with having single and multiple objective functions via metaheuristic algorithm known as Particle Swarm Optimization (PSO). Simulation results are demonstrated well in seeking for optimal reactive power injection with regard to voltage stability vicinity.",
    keywords = "Particle Swarm Optimization (PSO), Photovoltaic, Reactive Power Control, Voltage Stability",
    author = "Salim, {N. B.} and Takao Tsuji and Tsutomu Oyama and Kenko Uchida",
    year = "2016",
    month = "12",
    day = "22",
    doi = "10.1109/ISGT-Asia.2016.7796371",
    language = "English",
    pages = "115--120",
    booktitle = "2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016",
    publisher = "IEEE Computer Society",
    address = "United States",

    }

    TY - GEN

    T1 - Comparison of single and multi-objectives for optimal DGs reactive power dispatch using PSO

    AU - Salim, N. B.

    AU - Tsuji, Takao

    AU - Oyama, Tsutomu

    AU - Uchida, Kenko

    PY - 2016/12/22

    Y1 - 2016/12/22

    N2 - It is necessary to meet both efficiency and reliability of power systems operations with regard of electricity demand whilst taking into account voltage stability concerns. The reactive power dispatch problem has been defined and applied with the optimization of these three objectives, which are the minimization of power loss, voltage deviation and power curtailment respectively. Many optimization problems often confronts with multi objectives decision and must choose the best trade-offs for all the specified and conflicted objectives since they are lump into one. Reactive power distribution system design with Distributed Generators (DG) presence is a multi objective problem for which it is uneasy to specify primarily due to faults and uncertainties of future demand. This paper investigates the comparison with having single and multiple objective functions via metaheuristic algorithm known as Particle Swarm Optimization (PSO). Simulation results are demonstrated well in seeking for optimal reactive power injection with regard to voltage stability vicinity.

    AB - It is necessary to meet both efficiency and reliability of power systems operations with regard of electricity demand whilst taking into account voltage stability concerns. The reactive power dispatch problem has been defined and applied with the optimization of these three objectives, which are the minimization of power loss, voltage deviation and power curtailment respectively. Many optimization problems often confronts with multi objectives decision and must choose the best trade-offs for all the specified and conflicted objectives since they are lump into one. Reactive power distribution system design with Distributed Generators (DG) presence is a multi objective problem for which it is uneasy to specify primarily due to faults and uncertainties of future demand. This paper investigates the comparison with having single and multiple objective functions via metaheuristic algorithm known as Particle Swarm Optimization (PSO). Simulation results are demonstrated well in seeking for optimal reactive power injection with regard to voltage stability vicinity.

    KW - Particle Swarm Optimization (PSO)

    KW - Photovoltaic

    KW - Reactive Power Control

    KW - Voltage Stability

    UR - http://www.scopus.com/inward/record.url?scp=85010065708&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85010065708&partnerID=8YFLogxK

    U2 - 10.1109/ISGT-Asia.2016.7796371

    DO - 10.1109/ISGT-Asia.2016.7796371

    M3 - Conference contribution

    AN - SCOPUS:85010065708

    SP - 115

    EP - 120

    BT - 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016

    PB - IEEE Computer Society

    ER -