عنوان : ( Providing a novel approach for dynamic feeder reconfiguration considering importance of reliability and grid\\\'s security )
نویسندگان: حسین لطفی , رضا قاضی , محمدباقر نقیبی سیستانی ,
Full Textچکیده
This paper presents, a novel evolutionary method for dynamic feeder reconfiguration at the presence of distributed generators (DGs), energy storage (ES) units and solar photovoltaic (PV) panels. Modern distribution networks, in addition to the importance of economic issues, must operate at an acceptable level of system reliability, Failure to pay attention to the reliability importance can lead to irreparable damages in the distribution network. Regarding the importance of the objective functions including voltage stability index (VSI), energy loss and energy not supplied (ENS) has led to the presentation of a stochastic multi-objective framework for dynamic feeder reconfiguration in the presence of distributed generators (DGs), energy storage (ES) units and solar photovoltaic (PV) panels considering uncertainty of PV units. A modified shuffled frog leaping algorithm is provided in this study to solve the proposed optimization problem. In order to show the efficiency and supremacy of the proposed method is applied on 33-node test system.
کلمات کلیدی
feeder reconfiguration distributed generators energy not supplied energy storage system
@article{paperid:1087711,
author = {حسین لطفی and قاضی, رضا and نقیبی سیستانی, محمدباقر},
title = {Providing a novel approach for dynamic feeder reconfiguration considering importance of reliability and grid\\\'s security},
journal = {روش های هوشمند در صنعت برق},
year = {2020},
volume = {10},
number = {40},
month = {February},
issn = {2322-3871},
pages = {13--22},
numpages = {9},
keywords = {feeder reconfiguration distributed generators energy not supplied energy storage system},
}
%0 Journal Article
%T Providing a novel approach for dynamic feeder reconfiguration considering importance of reliability and grid\\\'s security
%A حسین لطفی
%A قاضی, رضا
%A نقیبی سیستانی, محمدباقر
%J روش های هوشمند در صنعت برق
%@ 2322-3871
%D 2020
