Extending the modeling framework for wind generation systems / Muhando, E. B. in IEEE transactions on energy conversion, Vol. 24 N°1 (Mars 2009)  

Public ISBD [article]  inIEEE transactions on energy conversion > Vol. 24 N°1 (Mars 2009) . - pp. 211 - 221 Titre : Extending the modeling framework for wind generation systems : RLS-based paradigm for performance under high turbulence inflow Type de document : texte imprimé Auteurs : Muhando, E. B., Auteur ; Senjyu, T., Auteur ; Kinjo, H., Auteur Année de publication : 2009 Article en page(s) : pp. 211 - 221 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : Closed loop systems  control system synthesis  least mean squares methods  nonlinear equations  power generation control  supply quality  recursive estimation  stochastic processes  three-term turbulence  wind plants Résumé : Strong growth figures prove that wind is now a mainstream option for new power generation. All the successful megawatt-class wind technology developments to date are results of evolutionary design efforts based on the premise that control can significantly improve energy capture and reduce dynamic loads. The main challenge is wind stochasticity that impacts both power quality and drive train fatigue life for a wind generating system. In the proposed paradigm, control is exercised through a self-tuning regulator (STR) that incorporates a recursive least-squares algorithm to predict the process parameters and update the states. In above rated regimes, the control strategy incorporating a pitch regulatory system aims to regulate turbine power and maintain stable, closed-loop behavior in the presence of turbulent wind inflow. The control scheme is formulated based on a detailed performability model; the wind speed is generated by a stochastic model, while the drivetrain is modeled as a multiinertia system linked by a nonideal (KS ne infin) shaft described by nonlinear equations. Computer simulations reveal that achieving the two objectives of maximizing energy extraction and load reduction by the STR becomes more attractive relative to the classical PID controller design. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4749310&sortType%3Das [...] [article] Extending the modeling framework for wind generation systems : RLS-based paradigm for performance under high turbulence inflow [texte imprimé] / Muhando, E. B., Auteur ; Senjyu, T., Auteur ; Kinjo, H., Auteur . - 2009 . - pp. 211 - 221. energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 24 N°1 (Mars 2009) . - pp. 211 - 221 Mots-clés : Closed loop systems  control system synthesis  least mean squares methods  nonlinear equations  power generation control  supply quality  recursive estimation  stochastic processes  three-term turbulence  wind plants Résumé : Strong growth figures prove that wind is now a mainstream option for new power generation. All the successful megawatt-class wind technology developments to date are results of evolutionary design efforts based on the premise that control can significantly improve energy capture and reduce dynamic loads. The main challenge is wind stochasticity that impacts both power quality and drive train fatigue life for a wind generating system. In the proposed paradigm, control is exercised through a self-tuning regulator (STR) that incorporates a recursive least-squares algorithm to predict the process parameters and update the states. In above rated regimes, the control strategy incorporating a pitch regulatory system aims to regulate turbine power and maintain stable, closed-loop behavior in the presence of turbulent wind inflow. The control scheme is formulated based on a detailed performability model; the wind speed is generated by a stochastic model, while the drivetrain is modeled as a multiinertia system linked by a nonideal (KS ne infin) shaft described by nonlinear equations. Computer simulations reveal that achieving the two objectives of maximizing energy extraction and load reduction by the STR becomes more attractive relative to the classical PID controller design. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4749310&sortType%3Das [...]

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