2025/12/15

Mohammad Hassan Moradi

Academic rank: Professor
ORCID:
Education: PhD.
H-Index:
Faculty: Faculty of Engineering
ScholarId:
E-mail: mh_moradi [at] yahoo.co.uk
ScopusId: View
Phone: 09188131713
ResearchGate:

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.