Modified stochastic estimation of load dependent energy losses in electric distribution networks | Научно-инновационный портал СФУ

Modified stochastic estimation of load dependent energy losses in electric distribution networks

Тип публикации: статья из журнала

Год издания: 2012

Идентификатор DOI: 10.1016/j.ijepes.2012.03.034

Ключевые слова: Energy losses, Electric distribution network, Stochastic simulation, Covariance matrix, Power load curve, Operating condition estimation, Electric power, Expected values, Initial information, Linear combinations, Operating condition, Power load, Random factors, Steady-state operating conditions, Stochastic estimation, Stochastic simulations, Electric load forecasting, Electric power distribution, Stochastic models, Energy dissipation

Аннотация: This paper proposes a new modified stochastic model of steady-state operating conditions for a load-dependent (current-dependent) energy losses estimation in electric distribution networks of any configuration. This model is based on stochastic simulation of a power covariance matrix and electric power loads. Electric power load variation is presented in the form of a linear combination of some independent random factors. It is able to correctly take into account a variety of power system operating conditions with a small volume of initial information, and to determine energy losses for a certain time-period in one computation of expected values of power loads. Energy losses are determined with sufficient accuracy and reliability for practical purposes. (C) 2012 Elsevier Ltd. All rights reserved.

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Издание

Журнал: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Выпуск журнала: Vol. 43, Is. 1

Номера страниц: 325-332

ISSN журнала: 01420615

Место издания: OXFORD

Издатель: ELSEVIER SCI LTD

Авторы

  • Shulgin I.V. (Siberian Fed Univ, Power Engn Dept, Krasnoyarsk 660041, Russia)
  • Gerasimenko A.A. (Siberian Fed Univ, Power Engn Dept, Krasnoyarsk 660041, Russia)
  • Zhou Su Quan (Harbin Inst Technol, Elect Power Res Inst, Harbin 150001, Peoples R China)

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