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Détail de l'auteur
Auteur Lingfeng; Wang
Documents disponibles écrits par cet auteur
Affiner la rechercheMulticriteria design of hybrid power generation systems based on a modified particle swarm optimization algorithm / Lingfeng; Wang in IEEE transactions on energy conversion, Vol. 24 N°1 (Mars 2009)
[article]
in IEEE transactions on energy conversion > Vol. 24 N°1 (Mars 2009) . - pp. 163 - 172
Titre : Multicriteria design of hybrid power generation systems based on a modified particle swarm optimization algorithm Type de document : texte imprimé Auteurs : Lingfeng; Wang, Auteur ; Singh, C., Auteur Année de publication : 2009 Article en page(s) : pp. 163 - 172 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : Air pollution; battery storage plants; cost reduction; hybrid power systems; particle swarm optimisation; photovoltaic power systems; power generation economics; power generation reliability; power grids; probability; renewable energy sources; time series; wind power plants Résumé : Multisource hybrid power generation systems are a type of representative application of the renewables' technology. In this investigation, wind turbine generators, photovoltaic panels, and storage batteries are used to build hybrid generation systems that are optimal in terms of multiple criteria including cost, reliability, and emissions. Multicriteria design facilitates the decision maker to make more rational evaluations. In this study, an improved particle swarm optimization algorithm is developed to derive these nondominated solutions. Hybrid generation systems under different design scenarios are designed based on the proposed approach. First, a grid-linked hybrid system is designed without incoroprating system uncertainties. Then, adequacy evaluation is conducted based on probabilistic methods by accounting for equipment failures, time-dependent sources of energy, and stochastic generation/load variations. In particular, due to the unpredictability of wind speed and solar insolation as well as the random load variation, time-series models are adopted to reflect their stochastic characteristics. An adequacy evaluation procedure including time-dependent sources, is adopted. Sensitivity studies are also carried out to examine the impacts of different system parameters on the overall design performance. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4749288&sortType%3Das [...] [article] Multicriteria design of hybrid power generation systems based on a modified particle swarm optimization algorithm [texte imprimé] / Lingfeng; Wang, Auteur ; Singh, C., Auteur . - 2009 . - pp. 163 - 172.
energy conversion
Langues : Anglais (eng)
in IEEE transactions on energy conversion > Vol. 24 N°1 (Mars 2009) . - pp. 163 - 172
Mots-clés : Air pollution; battery storage plants; cost reduction; hybrid power systems; particle swarm optimisation; photovoltaic power systems; power generation economics; power generation reliability; power grids; probability; renewable energy sources; time series; wind power plants Résumé : Multisource hybrid power generation systems are a type of representative application of the renewables' technology. In this investigation, wind turbine generators, photovoltaic panels, and storage batteries are used to build hybrid generation systems that are optimal in terms of multiple criteria including cost, reliability, and emissions. Multicriteria design facilitates the decision maker to make more rational evaluations. In this study, an improved particle swarm optimization algorithm is developed to derive these nondominated solutions. Hybrid generation systems under different design scenarios are designed based on the proposed approach. First, a grid-linked hybrid system is designed without incoroprating system uncertainties. Then, adequacy evaluation is conducted based on probabilistic methods by accounting for equipment failures, time-dependent sources of energy, and stochastic generation/load variations. In particular, due to the unpredictability of wind speed and solar insolation as well as the random load variation, time-series models are adopted to reflect their stochastic characteristics. An adequacy evaluation procedure including time-dependent sources, is adopted. Sensitivity studies are also carried out to examine the impacts of different system parameters on the overall design performance. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4749288&sortType%3Das [...]