LEADER 00844nam0-22002891i-450- 001 990004339180403321 005 20050407154703.0 035 $a000433918 035 $aFED01000433918 035 $a(Aleph)000433918FED01 035 $a000433918 100 $a19990604d1966----km-y0itay50------ba 101 0 $afre 105 $af-------00--- 200 1 $a<>insurrection du ghetto de Varsovie$fpresentee par Michel Borwicz 210 $as.l.$cJulliard$dc1966. 215 $a251 p.$c<8> c.di tav.$d18 cm 225 1 $aCollection archives$v26 676 $a943.805$v21$zita 700 1$aBorwicz,$bMichel$0173213 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004339180403321 952 $a943.8 BOR 1$bI.st.r.c. s.i.$fFLFBC 959 $aFLFBC 996 $aInsurrection du ghetto de Varsovie$9486840 997 $aUNINA LEADER 03754nam 22004935 450 001 9910350277803321 005 20190207164630.0 010 $a981-13-5995-4 024 7 $a10.1007/978-981-13-5995-8 035 $a(CKB)4100000007598195 035 $a(DE-He213)978-981-13-5995-8 035 $a(MiAaPQ)EBC5689298 035 $a(EXLCZ)994100000007598195 100 $a20190207d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Control and Optimization Paradigms for Wind Energy Systems$b[electronic resource] /$fedited by Radu-Emil Precup, Tariq Kamal, Syed Zulqadar Hassan 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (XV, 257 p. 158 illus., 96 illus. in color.) 225 1 $aPower Systems,$x1612-1287 311 $a981-13-5994-6 327 $aNonlinear Modeling, Analysis and Simulation of Wind Turbine Control System With and Without Pitch Control as in Industry -- Distributed Cooperative Control of Wind Farms with On-site Battery Energy Storage Systems -- Sensitivity Analysis of Frequency Regulation Parameters in Power Systems with Wind Generation -- Wind Turbines Integration into Power Systems: Advanced Control Strategy for Harmonics Mitigation -- Power Conversion and Predictive Control of Wind Energy Conversion Systems -- Adaptive Guaranteed Performance Control of Wind Energy Systems -- Machine Learning and Meta-heuristic Algorithms For Renewable Energy: A Systematic Review -- Design of a supervisory control system based on fuzzy logic for a hybrid system comprising wind power, battery and ultracapacitor energy storage system -- Neural-based P-Q Decoupled Control for Doubly Fed Induction Generator in Wind Generation System -- An Indirect Adaptive Control Paradigm for Wind Generation Systems. 330 $aThis book presents advanced studies on the conversion efficiency, mechanical reliability, and the quality of power related to wind energy systems. The main concern regarding such systems is reconciling the highly intermittent nature of the primary source (wind speed) with the demand for high-quality electrical energy and system stability. This means that wind energy conversion within the standard parameters imposed by the energy market and power industry is unachievable without optimization and control. The book discusses the rapid growth of control and optimization paradigms and applies them to wind energy systems: new controllers, new computational approaches, new applications, new algorithms, and new obstacles. 410 0$aPower Systems,$x1612-1287 606 $aProduction of electric energy or 606 $aPower Electronics, Electrical Machines and Networks$3http://scigraph.springernature.com/things/product-market-codes/T24070 606 $aEnergy Efficiency$3http://scigraph.springernature.com/things/product-market-codes/118000 606 $aControl and Systems Theory$3http://scigraph.springernature.com/things/product-market-codes/T19010 615 0$aProduction of electric energy or. 615 14$aPower Electronics, Electrical Machines and Networks. 615 24$aEnergy Efficiency. 615 24$aControl and Systems Theory. 676 $a621.317 702 $aPrecup$b Radu-Emil$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKamal$b Tariq$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZulqadar Hassan$b Syed$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910350277803321 996 $aAdvanced Control and Optimization Paradigms for Wind Energy Systems$92035885 997 $aUNINA