A novel approach to multi-objective optimal power flow by a new hybrid optimization algorithm considering generator constraints and multi-fuel type

Energy

Volumn 49, Issue 1, 2013, Pages 119-136

  Narimani, Mohammad Rasoul ^a   Azizipanah Abarghooee, Rasoul ^c   Zoghdar Moghadam Shahrekohne, Behrouz ^a   Gholami, Kayvan ^b  

^a SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Hybrid optimization algorithm; Multi objective; Optimal power flow; Pareto optimal solution; Particle swarm optimization; Shuffle frog leaping algorithm

Indexed keywords

ACOUSTIC GENERATORS; ELECTRIC LOAD FLOW; OPTIMAL SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); POWER GENERATION;

COMPROMISE SOLUTIONS; ECONOMIC PROBLEMS; ENVIRONMENTAL ISSUES; FUZZY DECISION MAKING; GENERATION UNITS; HYBRID ALGORITHMS; HYBRID OPTIMIZATION ALGORITHM; MULTI OBJECTIVE; MULTI-OBJECTIVE OPTIMAL POWER FLOW; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; OPTIMAL POWER FLOWS; OPTIMAL SOLUTIONS; OPTIMIZATION PROBLEMS; PARETO OPTIMAL SOLUTIONS; POWER SYSTEM OPERATORS; SOCIAL WELFARE; TEST SYSTEMS; VALVE POINT EFFECTS;

ALGORITHMS;

ALGORITHM; DECISION MAKING; ELECTRICITY SUPPLY; ENERGY MARKET; ENERGY PLANNING; ENVIRONMENTAL ISSUE; FUZZY MATHEMATICS; MULTIOBJECTIVE PROGRAMMING; OPTIMIZATION; POWER GENERATION;

ANURA;

EID: 84871719979     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2012.09.031     Document Type: Article

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