Hybrid immune-genetic algorithm method for benefit maximisation of distribution network operators and distributed generation owners in a deregulated environment

IET Generation, Transmission and Distribution

Volumn 5, Issue 9, 2011, Pages 961-972

  Soroudi, A ^a   Ehsan, M ^a   Caire, R ^b,c   Hadjsaid, N ^b,c  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^b LABORATOIRE D ELECTROTECHNIQUE DE GRENOBLE   (France)

^c Inventer la Distribution Electrique de lAvenir (IDEA)   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

BENEFIT SHARING; DEREGULATED ENVIRONMENTS; DEREGULATED POWER SYSTEMS; DG UNIT; DISTRIBUTED GENERATIONS; DISTRIBUTION NETWORK OPERATORS; ELECTRICITY PRICES; IMMUNE GENETIC ALGORITHMS; INVESTMENT COSTS; LARGE-SCALE DISTRIBUTION; LONG TERM DYNAMICS; MULTIOBJECTIVE MODELS; NETWORK REINFORCEMENTS; OBJECTIVE FUNCTIONS; OPTIMAL SCHEME; PLANNING PERIOD; PLANNING PROBLEM; POINT ESTIMATION METHOD; SPECIFIC INVESTMENT; TWO STAGE; WHOLE SYSTEMS; WIND TURBINE POWER;

DISTRIBUTED POWER GENERATION; HEURISTIC METHODS; MATHEMATICAL OPERATORS;

INVESTMENTS;

EID: 80052454326     PISSN: 17518687     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-gtd.2010.0721     Document Type: Article

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