Open AccessOptimal Power Flow Solution Using Ant Manners for Electrical Network
Author(s) -
Abdelmadjid Boumédiène,
Abdellah Laoufi
Publication year - 2009
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2009.01006
Subject(s) - power flow , ant , computer science , flow (mathematics) , electrical network , flow network , power (physics) , artificial intelligence , electric power system , mathematical optimization , electrical engineering , computer network , engineering , mathematics , physics , geometry , quantum mechanics
This paper presents ant manners and the collective intelligence for electrical network. Solutions for Optimal Power Flow (OPF) problem of a power system deliberate via an ant colony optimization metaheuristic method. The objective is to minimize the total fuel cost of thermal generating units and also conserve an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, shunt capacitors/reactors, transformers tap-setting and power flow of transmission lines. Simulation results on the IEEE 30-bus electrical network show that the ant colony optimization method converges quickly to the global optimum