2025 : 4 : 21

Mohammad Hassan Moradi

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 55951861000
HIndex:
Faculty: Faculty of Engineering
Address:
Phone: 09188131713

Research

Title
A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems
Type
JournalPaper
Keywords
Distributed generation Genetic algorithm Placement Particle swarm optimization Losses
Year
2012
Journal INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
DOI
Researchers Mohammad Hassan Moradi ،

Abstract

Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental demands for electrical energy. Locations and capacities of DG sources have profoundly impacted on the system losses in a distribution network. In this paper, a novel combined genetic algo- rithm (GA)/particle swarm optimization (PSO) is presented for optimal location and sizing of DG on dis- tribution systems. The objective is to minimize network power losses, better voltage regulation and improve the voltage stability within the frame-work of system operation and security constraints in radial distribution systems. A detailed performance analysis is carried out on 33 and 69 bus systems to demonstrate the effectiveness of the proposed methodology