Urtasun Erburu, AndoniSanchis Gúrpide, PabloMarroyo Palomo, Luis2018-11-082018-11-082014A. Urtasun, P. Sanchis and L. Marroyo, "Small Wind Turbine Sensorless MPPT: Robustness Analysis and Lossless Approach," in IEEE Transactions on Industry Applications, vol. 50, no. 6, pp. 4113-4121, Nov.-Dec. 2014. doi: 10.1109/TIA.2014.23136500093-9994 (Print)1939-9367 (Electronic)10.1109/TIA.2014.2313650https://academica-e.unavarra.es/handle/2454/31354The configuration Permanent Magnet Synchronous Generator (PMSG) with diode bridge is frequently used in small Wind Energy Conversion Systems (WESC) thanks to its reliability and low cost. In order to perform a sensorless Maximum Power Point Tracking (MPPT), a suitable method consists of imposing the relationship between the dc current and the dc voltage in optimum operation. However, this strategy requires having knowledge of the system parameters, which are inaccurately known and can vary in real applications. Thus, optimum curve is not precisely obtained, leading to power losses. This paper evaluates to what extent the power is reduced due to parameter errors. It is shown how the power can be drastically decreased due to some parameter variation whereas it is not affected by others such as the resistance, which can then be neglected in order to simplify the model. Simulation results for an actual wind profile validate the theoretical analysis.application/pdfeng© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.Diode bridgeMPPTPMSGRobustness analysisSensorless controlVariable speed wind generationSmall wind turbines sensorless MPPT: robustness analysis and lossless approachArtículo / ArtikuluaAcceso abierto / Sarbide irekiainfo:eu-repo/semantics/openAccess