Open AccessOptimal Conductor Selection in Radial Distribution Systems for Productivity Improvement Using Genetic Algorithm
Author(s) -
Mahdi Legha,
Hassan Javaheri,
Mohammad Legha
Publication year - 2013
Publication title -
iraqi journal for electrical and electronic engineering/al-maǧallaẗ al-ʻirāqiyyaẗ al-handasaẗ al-kahrabāʼiyyaẗ wa-al-ilikttrūniyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2078-6069
pISSN - 1814-5892
DOI - 10.37917/ijeee.9.1.3
Subject(s) - conductor , genetic algorithm , selection (genetic algorithm) , mathematical optimization , algorithm , computer science , reliability (semiconductor) , depreciation (economics) , electrical conductor , engineering , mathematics , electrical engineering , power (physics) , physics , geometry , quantum mechanics , artificial intelligence , financial capital , economics , capital formation , economic growth , human capital
Development of distribution systems result in higher system losses and poor voltage regulation. Consequently, an efficient and effective distribution system has become more urgent and important. Hence proper selection of conductors in the distribution system is important as it determines the current density and the resistance of the line. This paper examines the use of different evolutionary algorithms, genetic algorithm (GA), to optimal branch conductor selection in planning radial distribution systems with the objective to minimize the overall cost of annual energy losses and depreciation on the cost of conductors and reliability in order to improve productivity. Furthermore, The Backward-Forward sweep iterative method was adopted to solve the radial load flow analysis. Simulations are carried out on 69-bus radial distribution network using GA approach in order to show the accuracy as well as the efficiency of the proposed solution technique.