Experiment with an OPF controller based on HPSO-TVAC for a PV-supplied microgrid with BESS

Khoa Le Dinh, Yasuhiro Hayashi

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

    2 Citations (Scopus)

    Abstract

    This paper proposed an optimal active power flow controller for local battery energy storage system (BESS), which are installed at load buses, based on self-organizing hierarchical particle swarm optimization with time-varying acceleration coefficients to minimize power transmission losses in a middle voltage 6.6 KV photovoltaic-supplied microgrid (MG). In addition, a central BESS, which is installed at an interconnection point, minimizes power flow from the utility to the MG through the interconnection point, and coordinates with a load ratio control transformer to stabilize load bus voltages in the MG. Loop and radial structures of MG are studied to evaluate the effective of proposed method. MATLAB/Simulink and ANSWER (Active Network System with Energy Resources) are used to test experiment the MG model. A conventional control method and the proposed control method are compared to evaluate its effectiveness.

    Original languageEnglish
    Title of host publicationIEEE Power and Energy Society General Meeting
    PublisherIEEE Computer Society
    Volume2014-October
    EditionOctober
    DOIs
    Publication statusPublished - 2014 Oct 29
    Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
    Duration: 2014 Jul 272014 Jul 31

    Other

    Other2014 IEEE Power and Energy Society General Meeting
    Country/TerritoryUnited States
    CityNational Harbor
    Period14/7/2714/7/31

    Keywords

    • Battery energy storage system
    • Distribution static compensator
    • Optimal power flow
    • Self-organizing hierarchical PSO with TVAC
    • Voltage control

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Nuclear Energy and Engineering
    • Renewable Energy, Sustainability and the Environment
    • Electrical and Electronic Engineering

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