000922827 000__ 03701cam\a2200433Ii\4500 000922827 001__ 922827 000922827 005__ 20230306150858.0 000922827 006__ m\\\\\o\\d\\\\\\\\ 000922827 007__ cr\nn\nnnunnun 000922827 008__ 190930s2020\\\\si\a\\\\o\\\\\000\0\eng\d 000922827 020__ $$a9789811502750$$q(electronic book) 000922827 020__ $$a9811502757$$q(electronic book) 000922827 020__ $$z9789811502743 000922827 0248_ $$a10.1007/978-981-15-0 000922827 035__ $$aSP(OCoLC)on1121275775 000922827 035__ $$aSP(OCoLC)1121275775 000922827 040__ $$aLQU$$beng$$epn$$cLQU$$dGW5XE$$dYDX$$dOCLCQ 000922827 049__ $$aISEA 000922827 050_4 $$aTK1541 000922827 08204 $$a621.31/2136$$223 000922827 08204 $$a620 000922827 1001_ $$aDhiman, Harsh S. 000922827 24510 $$aDecision and control in hybrid wind farms /$$cHarsh S. Dhiman, Dipankar Deb. 000922827 264_1 $$aSingapore :$$bSpringer,$$c2020. 000922827 300__ $$a1 online resource (xxii, 140 pages) :$$billustrations 000922827 336__ $$atext$$btxt$$2rdacontent 000922827 337__ $$acomputer$$bc$$2rdamedia 000922827 338__ $$aonline resource$$bcr$$2rdacarrier 000922827 4901_ $$aStudies in systems, decision and control ;$$vv. 253 000922827 5050_ $$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. 000922827 506__ $$aAccess limited to authorized users. 000922827 520__ $$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. 000922827 650_0 $$aWind power plants$$xManagement. 000922827 7001_ $$aDeb, Dipankar. 000922827 830_0 $$aStudies in systems, decision and control ;$$vv. 253. 000922827 852__ $$bebk 000922827 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-0275-0$$zOnline Access$$91397441.1 000922827 909CO $$ooai:library.usi.edu:922827$$pGLOBAL_SET 000922827 980__ $$aEBOOK 000922827 980__ $$aBIB 000922827 982__ $$aEbook 000922827 983__ $$aOnline 000922827 994__ $$a92$$bISE