2025 : 4 : 22

Mohammad Hassan Moradi

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

Research

Title
Optimal Clustering of MGs Based on Droop Controller for Improving Reliability Using a Hybrid of Harmony Search and Genetic Algorithms
Type
JournalPaper
Keywords
MGs clustering Multi-objectiveoptimization HS-GA Droop controller Fuzzy
Year
2016
Journal ISA TRANSACTIONS
DOI
Researchers ، Mohammad Hassan Moradi ، ُS Mahdi Hosseinian Hosseinian

Abstract

This paperproposesanovelmethodtoaddressreliabilityandtechnicalproblemsofmicrogrids(MGs based ondesigninganumberofself-adequateautonomoussub-MGsviaadoptingMGsclustering thinking. Indoingso,amulti-objectiveoptimizationproblemisdevelopedwherepowerlossesreduc- tion, voltageprofile improvementandreliabilityenhancementareconsideredastheobjectivefunctions. Tosolvetheoptimizationproblemahybridalgorithm,namedHS-GA,isprovided,basedongeneticand harmonysearchalgorithms,andaload flowmethodisgiventomodeldifferenttypesofDGsasdroop controller.Theperformanceoftheproposedmethodisevaluatedintwocasestudies.Theresultsprovide support fortheperformanceoftheproposedmethod.