Open AccessOptimal Capacitor Placement in Radial Distribution System Using Moth Flame Optimization Algorithm
Author(s) -
Ihsan Salman,
Khalid S. Mohammed,
Khalid Shaker,
Hothefa Shaker
Publication year - 2019
Publication title -
xi'nan jiaotong daxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 21
ISSN - 0258-2724
DOI - 10.35741/issn.0258-2724.54.3.21
Subject(s) - particle swarm optimization , imperialist competitive algorithm , matlab , mathematical optimization , computer science , voltage , renewable energy , power (physics) , software , electricity , heuristic , capacitor , algorithm , engineering , multi swarm optimization , electrical engineering , mathematics , physics , quantum mechanics , programming language , operating system
The environment friendly designing and running of electricity distribution structures are becoming vaster with the conjunction of renewable electricity options into power distribution systems. This study presents Moth Flame Optimization (MFO) approach to minimize total losses kW and energy cost and maximize net savings with solving the voltage deviation problem through optimal site and size of capacitor banks in electrical radial distribution networks. Two various load profiles are utilized to take a look at the modified algorithm on IEEE 123-, and 13-bus check networks. The OpenDSS software is utilized to resolve the power flowing via MATLAB programming interface. The results obtained are compared with IEEE normal state and other two heuristic approaches in same study, namely, imperialist competitive algorithm and particle swarm optimization. The proposed algorithm is more effective to minimise the total power losses and total cost and maximise net savings and to enhance the voltage profile for various distribution systems.