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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Bibliographic Details
Published in:MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference pp. 865 - 868
Main Authors: La Terra, G., Salvina, G., Tina, G. M.
Format: Conference Proceeding
Language:English
Published: IEEE 2006
Subjects:
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
Online Access:Get full text
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Summary: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.
ISBN:9781424400874
1424400872
ISSN:2158-8473
DOI:10.1109/MELCON.2006.1653235