Optimal sizing procedure for hybrid solar wind power systems by fuzzy logic

This paper refers about an automatic procedure to perform the optimal sizing of a grid connected hybrid solar wind power system (HSWPS) developed by a fuzzy logic based multi-objective optimization approach. Both technical and economical objective functions are taken into account in the optimisation...

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Veröffentlicht in:MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference S. 865 - 868
Hauptverfasser: La Terra, G., Salvina, G., Tina, G. M.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 2006
Schlagworte:
Closed-form solution
Convolution
Cost function
Fuzzy logic
Power generation economics
Power system economics
Power system modeling
Power system reliability
Solar system
Wind energy
ISBN:9781424400874, 1424400872
ISSN:2158-8473
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Abstract This paper refers about an automatic procedure to perform the optimal sizing of a grid connected hybrid solar wind power system (HSWPS) developed by a fuzzy logic based multi-objective optimization approach. Both technical and economical objective functions are taken into account in the optimisation procedure; the technical objective, related to system reliability, is expressed by the energy index of reliability. For this purpose a probabilistic model for HSWPS has been developed, based on the convolution technique to assess the long term performance for both stand-alone and grid-linked applications. The proposed model is based on closed form solution approach to treat the wind system and the solar system as a whole. The procedure of optimization aims at finding the configuration that yields the best compromise for the two considered objectives: the long-term average performance and the overall cost of the generating system.
AbstractList This paper refers about an automatic procedure to perform the optimal sizing of a grid connected hybrid solar wind power system (HSWPS) developed by a fuzzy logic based multi-objective optimization approach. Both technical and economical objective functions are taken into account in the optimisation procedure; the technical objective, related to system reliability, is expressed by the energy index of reliability. For this purpose a probabilistic model for HSWPS has been developed, based on the convolution technique to assess the long term performance for both stand-alone and grid-linked applications. The proposed model is based on closed form solution approach to treat the wind system and the solar system as a whole. The procedure of optimization aims at finding the configuration that yields the best compromise for the two considered objectives: the long-term average performance and the overall cost of the generating system.
Author Tina, G. M.
La Terra, G.
Salvina, G.
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  fullname: Tina, G. M.
  organization: Dipt. Ingegneria Elettrica, Elettronica e dei Sistemi, Catania Univ., Italy
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Snippet This paper refers about an automatic procedure to perform the optimal sizing of a grid connected hybrid solar wind power system (HSWPS) developed by a fuzzy...
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SubjectTerms Closed-form solution
Convolution
Cost function
Fuzzy logic
Power generation economics
Power system economics
Power system modeling
Power system reliability
Solar system
Wind energy
Title Optimal sizing procedure for hybrid solar wind power systems by fuzzy logic
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