Intelligent Model of Decision Support System of Distributed Generation Integration

被引：0
|
作者：
Eroshenko, Stanislav A. [1 ]
Khalyasmaa, Alexandra I. [1 ]
机构：
[1] Ural Fed Univ, Dept Automated Elect Syst, Mira Str 19, Ekaterinburg 620002, Russia
来源：
PROCEEDINGS OF 2017 8TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2017) | 2017年
基金：
俄罗斯基础研究基金会;
关键词：
distribution network; distributed generation; optimization; network connection;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The paper addresses the problem of effective distributed generation source integration into the United Power System, that is to meet the operational margins of the power system and to provide reliable power supply to the final customers. The objective formulation is composed of different indicative blocks, illustrating technical, economic and operational criteria. Genetic algorithms combined with indicator analysis was selected as a basic approach for optimization. The validation of the developed decision-support system model was carried out using real power network fragment. The calculation results are discussed in detail as well as the value of the indicator blocks totals are analyzed.
引用
收藏
页码：79 / 82
页数：4
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