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Distribution system planning with incorporating DG reactive capability and system uncertainties

Journal Article


Abstract


  • Distributed generation (DG) systems are considered

    an integral part in future distribution system planning. The active

    and reactive power injections from DG units, typically installed

    close to the load centers, are seen as a cost-effective solution for

    distribution system voltage support, energy saving, and reliability

    improvement. This paper proposes a novel distribution system expansion

    planning strategy encompassing renewable DG systems

    with schedulable and intermittent power generation patterns. The

    reactive capability limits of different renewable DG systems covering

    wind, solar photovoltaic, and biomass-based generation units

    are included in the planning model and the system uncertainties

    such as load demand, wind speed, and solar radiation are also accounted

    using probabilistic models. The problem of distribution

    system planning with renewable DG is formulated as constrained

    mixed integer nonlinear programming, wherein the total cost will

    be minimized with optimal allocation of various renewable DG systems.

    A solution algorithm integrating TRIBE particle swarm optimization

    (TRIBE PSO) and ordinal optimization (OO) is developed

    to effectively obtain optimal and near-optimal solutions for

    system planners. TRIBE PSO, OO, and the proposed algorithm

    are applied to a practical test system and results are compared and

    presented.

Publication Date


  • 2012

Citation


  • K. Zou, A. P. Agalgaonkar, K. M. Muttaqi & S. Perera, "Distribution system planning with incorporating DG reactive capability and system uncertainties," IEEE Transactions on Sustainable Energy, vol. 3, (1) pp. 112-123, 2012.

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/238

Number Of Pages


  • 11

Start Page


  • 112

End Page


  • 123

Volume


  • 3

Issue


  • 1

Abstract


  • Distributed generation (DG) systems are considered

    an integral part in future distribution system planning. The active

    and reactive power injections from DG units, typically installed

    close to the load centers, are seen as a cost-effective solution for

    distribution system voltage support, energy saving, and reliability

    improvement. This paper proposes a novel distribution system expansion

    planning strategy encompassing renewable DG systems

    with schedulable and intermittent power generation patterns. The

    reactive capability limits of different renewable DG systems covering

    wind, solar photovoltaic, and biomass-based generation units

    are included in the planning model and the system uncertainties

    such as load demand, wind speed, and solar radiation are also accounted

    using probabilistic models. The problem of distribution

    system planning with renewable DG is formulated as constrained

    mixed integer nonlinear programming, wherein the total cost will

    be minimized with optimal allocation of various renewable DG systems.

    A solution algorithm integrating TRIBE particle swarm optimization

    (TRIBE PSO) and ordinal optimization (OO) is developed

    to effectively obtain optimal and near-optimal solutions for

    system planners. TRIBE PSO, OO, and the proposed algorithm

    are applied to a practical test system and results are compared and

    presented.

Publication Date


  • 2012

Citation


  • K. Zou, A. P. Agalgaonkar, K. M. Muttaqi & S. Perera, "Distribution system planning with incorporating DG reactive capability and system uncertainties," IEEE Transactions on Sustainable Energy, vol. 3, (1) pp. 112-123, 2012.

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/238

Number Of Pages


  • 11

Start Page


  • 112

End Page


  • 123

Volume


  • 3

Issue


  • 1