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Meta-heuristic algorithms-based real power loss minimisation including line thermal overloading constraints
Faculty
Science
Year:
2013
Type of Publication:
Article
Pages:
613-619
Authors:
El-Fergany, Attia A, El-Arini, Mahdi
DOI:
10.1049/iet-gtd.2012.0649
Journal:
IET GENERATION TRANSMISSION \& DISTRIBUTION INST ENGINEERING TECHNOLOGY-IET
Volume:
7
Research Area:
Engineering
ISSN
ISI:000321745600008
Keywords :
Meta-heuristic algorithms-based real power loss minimisation
Abstract:
This study presents an integrated evolutionary approach to minimise the real power losses in a given power-system network to improve the system performance and to reduce the overall cost of power transmission. The integration of the genetic algorithm and hybridised simulated annealing with pattern search are proposed and applied to determine the optimum adjustments to the control variables. The approach satisfies and maintains the equality and inequality constraints. The proposed method is applied to many test systems with different operating scenarios. The numerical test results and simulations with different load patterns and single-line outages were demonstrated and analysed. The effects of changing the control variables were studied and investigated as well. The results obtained show the effectiveness, flexibility and applicability of the proposed approach for power loss minimisation by considering the overload condition of lines with high accuracy and within somehow an acceptable computational time.
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