LEADER 04826nam 22007095 450 001 9910366594503321 005 20240419052357.0 010 $a981-15-0275-7 024 7 $a10.1007/978-981-15-0275-0 035 $a(CKB)4100000009451885 035 $a(DE-He213)978-981-15-0275-0 035 $a(MiAaPQ)EBC5909865 035 $a(EXLCZ)994100000009451885 100 $a20190928d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDecision and Control in Hybrid Wind Farms /$fby Harsh S. Dhiman, Dipankar Deb 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XXII, 140 p. 64 illus., 62 illus. in color.) 225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v253 311 $a981-15-0274-9 327 $aFundamentals of Wind Turbine and Wind Farm Control Systems -- Multi-Criteria Decision Making: An Overview -- Decision Making in Hybrid Wind Farms -- Fuzzy based Decision Making in Hybrid Wind Farms -- Control Applications in Hybrid Wind Farms -- BESS Life Enhancement for Hybrid Wind Farms. 330 $aThis book focuses on two of the most important aspects of wind farm operation: decisions and control. The first part of the book deals with decision-making processes, and explains that hybrid wind farm operation is governed by a set of alternatives that the wind farm operator must choose from in order to achieve optimal delivery of wind power to the utility grid. This decision-making is accompanied by accurate forecasts of wind speed, which must be known beforehand. Errors in wind forecasting can be compensated for by pumping power from a reserve capacity to the grid using a battery energy storage system (BESS). Alternatives based on penalty cost are assessed using certain criteria, and MCDM methods are used to evaluate the best choice. Further, considering the randomness in the dynamic phenomenon in wind farms, a fuzzy MCDM approach is applied during the decision-making process to evaluate the best alternative for hybrid wind farm operation. Case studies from wind farms in the USA are presented, together with numerical solutions to the problem. In turn, the second part deals with the control aspect, and especially with yaw angle control, which facilitates power maximization at wind farms. A novel transfer function-based methodology is presented that controls the wake center of the upstream turbine(s); lidar-based numerical simulation is carried out for wind farm layouts; and an adaptive control strategy is implemented to achieve the desired yaw angle for upstream turbines. The proposed methodology is tested for two wind farm layouts. Wake management is also implemented for hybrid wind farms where BESS life enhancement is studied. The effect of yaw angle on the operational cost of BESS is assessed, and case studies for wind farm datasets from the USA and Denmark are discussed. Overall, the book provides a comprehensive guide to decision and control aspects for hybrid wind farms, which are particularly important from an industrial standpoint. 410 0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v253 606 $aVibration 606 $aDynamics 606 $aDynamics 606 $aEnergy consumption 606 $aEnergy systems 606 $aAlgorithms 606 $aEnergy harvesting 606 $aVibration, Dynamical Systems, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/T15036 606 $aEnergy Efficiency$3https://scigraph.springernature.com/ontologies/product-market-codes/118000 606 $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000 606 $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018 606 $aEnergy Harvesting$3https://scigraph.springernature.com/ontologies/product-market-codes/117000 615 0$aVibration. 615 0$aDynamics. 615 0$aDynamics. 615 0$aEnergy consumption. 615 0$aEnergy systems. 615 0$aAlgorithms. 615 0$aEnergy harvesting. 615 14$aVibration, Dynamical Systems, Control. 615 24$aEnergy Efficiency. 615 24$aEnergy Systems. 615 24$aAlgorithms. 615 24$aEnergy Harvesting. 676 $a620 700 $aDhiman$b Harsh S$4aut$4http://id.loc.gov/vocabulary/relators/aut$01735056 702 $aDeb$b Dipankar$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910366594503321 996 $aDecision and Control in Hybrid Wind Farms$94154057 997 $aUNINA