دانلود مقاله ISI انگلیسی شماره 48070
عنوان فارسی مقاله

تخصیص بهینه و کنترل VAR تطبیقی PV-DG در شبکه های توزیع

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
48070 2015 10 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Optimal allocation and adaptive VAR control of PV-DG in distribution networks
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Energy, Volume 137, 1 January 2015, Pages 173–182

کلمات کلیدی
تولید پراکنده؛ تخصیص بهینه؛ ماشین بردار پشتیبانی؛ کنترل ولتاژ - کنترل توان راکتیو
پیش نمایش مقاله
پیش نمایش مقاله تخصیص بهینه و کنترل VAR تطبیقی PV-DG در شبکه های توزیع

چکیده انگلیسی

The development of distributed generation (DG) has brought new challenges to power networks. One of them that catches extensive attention is the voltage regulation problem of distribution networks caused by DG. Optimal allocation of DG in distribution networks is another well-known problem being widely investigated. This paper proposes a new method for the optimal allocation of photovoltaic distributed generation (PV-DG) considering the non-dispatchable characteristics of PV units. An adaptive reactive power control model is introduced in PV-DG allocation as to balance the trade-off between the improvement of voltage quality and the minimization of power loss in a distribution network integrated with PV-DG units. The optimal allocation problem is formulated as a chance-constrained stochastic programming (CCSP) model for dealing with the randomness of solar power energy. A novel algorithm combining the multi-objective particle swarm optimization (MOPSO) with support vector machines (SVM) is proposed to find the Pareto front consisting of a set of possible solutions. The Pareto solutions are further evaluated using the weighted rank sum ratio (WRSR) method to help the decision-maker obtain the desired solution. Simulation results on a 33-bus radial distribution system show that the optimal allocation method can fully take into account the time-variant characteristics and probability distribution of PV-DG, and obtain the best allocation scheme.

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