کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
704261 1460879 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Combining exhaustive search and multi-objective evolutionary algorithm for service restoration in large-scale distribution systems
ترجمه فارسی عنوان
ترکیب جستجوی جامع و الگوریتم تکاملی چند هدفه برای بازسازی خدمات در سیستم های توزیع در مقیاس بزرگ
کلمات کلیدی
سیستم های توزیع انرژی؛ مشکل ترمیم سرویس؛ بهینه سازی ترکیبی؛ متا اکتشافی؛ کدگذاری عمق جغرافیایی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی


• The service restoration problem in distribution systems is presented.
• We review how a distribution system can be represented by an efficient data structure.
• A new approach with exhaustive search procedure as first step is introduced.
• Results in a real and large-scale distribution system are presented.

Service restoration problem in distribution systems emerges after the faulted areas have been identified and isolated. A solution is obtained by determining the minimal number of switching operations that results in a configuration with a minimal number of healthy out-of-service areas without violating the operational and radiality constraints. Recently a practical and efficient methodology was developed and demonstrated through tests performed on the real and large-scale distribution system of Londrina city (Brazil). This methodology, named MEAN-MH, combines a Multi-objective Evolutionary Algorithm with Node-Depth Encoding, Multiple criteria tables and an alarming Heuristic. As any methodology based on meta-heuristics, the MEAN-MH does not guarantee to find the optimal solution of the service restoration problem, even when the optimal solution requires operations only in normally open switches incident to the healthy out-of-service areas (named as Tier 1 normally open switches). This paper proposes an extension of MEAN-MH that incorporates an Exhaustive Search (ES) procedure as a previous stage before MEAN-MH. The proposed ES guarantees the generation and analysis of all possible radial configurations that restore the service to all healthy out-of-service areas requiring operations only in Tier 1 normally open switches. Therefore, when the optimal solution of the service restoration problem requires operations only in Tier 1 NO switches, the proposed methodology, named MEAN-MH+ES, guarantees the optimum. However, when the optimal solution requires operations also in other switches, the MEAN-MH+ES searches by a feasible solution minimizing both the number of switching operations and the number of healthy out-of-service areas. To demonstrate the effectiveness of the proposal, both MEAN-MH and MEAN-MH+ES are applied to two real and large-scale distribution systems of Brazil. Moreover, the results obtained by MEAN-MH+ES are compared with those found in another published work.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 134, May 2016, Pages 1–8
نویسندگان
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