A Direct Matrix Inversion-Less Analysis for Distribution System Power Flow Considering Distributed Generation

Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
This paper presents a new direct matrix inversion-less analysis for radial distribution systems (RDSs). The method can successfully deal with weakly meshed distribution systems. (WMDSs). Being easy to implement, direct methods (DMs) provide an excellent performance. Matrix inversion is the mean reason of divergence and low-efficiency in power flow algorithms. In this paper, the performance of the proposed DM is upgraded since it is no longer necessary to use the matrix inversion and its related computations. On the other hand, DMs have not been explicitly developed for different models of loads and, moreover, analyzing meshes in previous works decreases the efficiency of such methods. This paper deals with these issues and takes a few steps forward. The modeling of distributed generations in distribution systems is also studied which is an interesting topic nowadays. Simulations results for balanced, unbalanced, meshed and radial systems with distributed generations verify the performance of the proposed method.
Language:
English
Published:
Amirkabir International Journal of Electrical & Electronics Engineering, Volume:50 Issue: 1, Winter - Spring 2018
Pages:
85 to 92
magiran.com/p1847749  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!