دانلود مقاله ISI انگلیسی شماره 108184
ترجمه فارسی عنوان مقاله

مدل سازی سیستماتیک و ارزیابی یکپارچه از استراتژی های مدیریت دارایی و محدودیت های کارکنان در قابلیت اطمینان شبکه توزیع

عنوان انگلیسی
Systemic modelling and integrated assessment of asset management strategies and staff constraints on distribution network reliability
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
108184 2018 8 صفحه PDF
منبع

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

Journal : Electric Power Systems Research, Volume 155, February 2018, Pages 164-171

ترجمه کلمات کلیدی
قابلیت اطمینان، نگهداری، اتوماسیون، نظارت بر وضعیت،
کلمات کلیدی انگلیسی
Reliability; Maintenance; Automation; Condition monitoring;
پیش نمایش مقاله
پیش نمایش مقاله  مدل سازی سیستماتیک و ارزیابی یکپارچه از استراتژی های مدیریت دارایی و محدودیت های کارکنان در قابلیت اطمینان شبکه توزیع

چکیده انگلیسی

Aging assets, tighter and tighter budget constraints, and Smart Grid technologies will have profound implications on the reliability of electricity distribution networks. The aim of this paper is to study the impact of changing network characteristics on its reliability in a system-of-systems (“systemic”) way. A key reason for attempting this is to capture the compounding effects of interdependencies due to degrading asset reliability (for instance due to aging), different asset management strategies (including condition monitoring and automation options), and staff resource constraints when performing maintenance and repairs. A Monte Carlo based simulation tool that uses OpenDSS as a load flow engine has been specifically developed to address these issues. The model is demonstrated on an 11 kV test distribution network. The studies clearly demonstrate the need to represent the finite number of staff available for maintenance and repair activities. This limitation allows better capturing unexpected dynamics such as frequent failures reducing maintenance activities, or multiple simultaneous faults having a higher impact than randomly distributed repair times would suggest. Overall, the results thus show how a sequence of planning decisions can compound to degrade network performance much more than might be anticipated. This clearly demonstrates the case for advanced integrated network-staff modelling that needs to be carried out, as proposed in the paper.