World Congress and Exhibition on Wind & Renewable Energy July 28-30, 2016 Berlin, Germany

Zhenbin Zhang was born in Shandong, China, in 1984. He received the B.S. degree in electrical engineering in Harbin Engineering University, Harbin, China, in 2008. From 2008 to 2011 he studied in control theory and engineering in Shandong University, Jinan, China as a combined Master and Ph.D. student. Since 2011, he has been working toward the Ph.D. degree at the Institute for Electrical Drive Systems and Power Electronics, Technische Universitaet Muenchen, Munich, Germany. His research interests include multi-level and back-to-back power converters, predictive and encoder-less control of electrical drives, wind energy systems, and FPGA based digital control.

Installations of grid-tied wind turbine systems have been seen a great increase. Configurations with full power rating back-to-back two- and three-level neutral-point clamped (NPC) power converter PMSG show many advantages in comparison with their double fed induction generator (DFIG) based cournterparts. In this work we clearly formulates the control targets for both two and three-level back-to-back power converter PMSG wind trubine systems, and investiges the actual control techniques for such system which includes: which includes (a) cascaded control schemes with modulators, (b) direct control with look-up table, (c) direct control with modulator, and (d) predictive controller for both the generator and grid sides. All these four control classes and their control blockdiagrams have been clearly depicted and illustrated.

Benatiallah Ali completed his PhD in Energy Physics, Physics Department, Faculty of Science, University S T, Oran, Algeria in 2006. His thesis title was, “Modelling and optimisation of PV solar system in Algeria”. He obtained his Master’s in Solar Energy from Université of Tlemcen, Algeria in 1994, BSc in Physics Engineering (with high Distinction), Department of Physics, and University of Tlemcen, Algeria in 1990. His worked as a Head of Energy & Environment Centre, Adrar University, Algeria and as a Principal Researcher and Leader of Externally Funded Research Projects in the areas of energy. The research projects were funded by the National Agency of Scientific Research Development. He is a Member of a Tree Research Group at Mostaganem University and a Reviewer of the IJGE.

Thanks to the good wind resource, the small wind turbines give a lot of alternative power for many remote electrical. This paper describes new command and new system topologies that direct driven generators (PMSG). The permanent magnet synchronous generator (PMSG) is used with variable speed in the system proposed of wind energy. This system consists of a rectifying control by the DPC connected to the PMSG which is driven by a turbine vertical axis wind type “Savonius”. Later, we exploited this turbine with control PMSG to power remote areas. The control study concerns the converter; the method proposed is around two hysteresis controllers that enable to adjustment of reactive and active power which is controlled by ‘quadratuly’ and ‘ directly’ of current components.

Mohamed Abdelrahem was born in Assiut, Egypt, in 1985. He received the B.Sc. and M. Sc. degree in Electrical Engineering from Assiut University, Assiut, Egypt, in 2007 and 2011 respectively. From 2007 till 2013 he was a research assistant and then assistant lecturer at the Electrical Engineering Department, Assiut University, Assiut, Egypt. Since 2014, he is working toward the Ph.D. degree at the Institute for Electrical Drive Systems and Power Electronics, Technische Universitaet Muenchen (TUM), Muenchen, Germany. His research interests include multi-level and back-to-back power converters, predictive and sensorless control of electrical drives, and renewable energy systems.

Doubly-fed induction generators (DFIGs) are the most commonly used generators in on-shore and off-shore applications, accounting for more than 50% of the installed wind turbines nominal capacity worldwide. DFIGs can supply active and reactive power, operate with a partial-scale power converter (around 30% of the machine rating), and achieve a certain ride through capability. Operation above and below the synchronous speed is feasible. This paper proposes a encoderless finite control set-model predictive control (FCS-MPC) strategy for douply-fed induction generators in variable-speed wind turbine systems (WTSs). The proposed MPC takes the discrete states of the voltage source converter into account and the future converter behavior is predicated for each sampling period. Then the switching action that minimizes a predefined cost function is selected to be applied in the next sampling instant. A model reference adaptive system (MRAS) observer is proposed for estimation of the DFIG rotor speed and position. Estimation and control performance of the proposed encoderless control method are illustrated by simulation results for all operation conditions. Moreover, the performance of the proposed MRAS observer is tested under variations of the DFIG parameters.

Prof. Hsiao Tien Pao completed her PhD in 1995 from the Department of Applied mathmatics of National Chia-Tung University (NCTU) and has been a full professor in the Department of Management Science, since 2009 from the National Chia-Tung University. She is the director of Renewable Energy Managent Labortory, a premier Energy Management research organization in NCTU. She has published more than 25 papers in reputed journals and has been serving as an editorial board member of repute.

This study is to investigate the relationships between wind power, fossil fuel energy consumption, and economic growth in top six wind power industrial countries (US, UK, Germany, France, Italy, and Canada) and in top six wind power non-industrial countries (China, Spain, India, Denmark, Portugal, and Sweden) using panel co-integration tests. For top wind power industrial countries, we find that (1) there is a long-term equilibrium relationship among wind power, fossil fuel energy consumption, and real GDP; (2) a 1% rise in wind energy consumption is associated with a 0.012% increase in real GDP; and (3) a 1% rise in fossil fuel energy consumption is associated with a 0.283% decrease in real GDP. For top wind power non-industrial countries, we find that (1) there is a long-term equilibrium relationship among wind power, fossil fuel energy consumption, and real GDP; (2) a 1% rise in wind energy consumption is associated with a 0.028% increase in real GDP; and (3) a 1% rise in fossil fuel energy consumption is associated with a 0.145% increase in real GDP. Therefore, the national energy policy may actively to develop wind power to reduce fossil fuel energy consumption and emissions without hurting economic growth.

Dr. Churchill Saoke completed his Ph.D at the age of 29 years from Jomo kenyatta University of Agriculture and technology (JKUAT) school of physical sciences in kenya. He is currently a lecturer at the department of Physics and a a counterpart researcher for the JICA Bright project for rural electrification using renewable energy in Kenya. He has published more than 10 papers in reputed journals and has been serving as an editorial board member of JAGST (Journal of Agriculture Science and Ttechnology)

The world population is expected to grow some 9 billion around the year 2050 . Such a rapid expansion of the population will bring increase in demand for food, water, energy and pollution of the environment. Therefore, a priority issue for 21st century is to assure enough energy and water in the developing countries needed for increasing agricultural output. Development of wind power equipment will be essential in achieving these power needs. This will require the use of “appropriate technology” to reduce cost and localize manufacture to developing countries because such technologies are perfectly applicable to the individual conditions of the people of a particular region. The main advantage of appropriate technology is that it emphasizes on; simple design using indigenous materials at low cost while operation and maintenance are practiced by local peopleIn this study, a five bladed wind turbine of a 600mm rotor diameter was fabricated using a 2mm thick aluminum curved plate that is folded at different angles from one side. Different tip lengths, root lengths, pitch angle and folded angles were varied. The blades pitch angles were changed manually and confirmed by protractor. By changing the pitch angles, the power performance of the wind turbine was tested in the wind tunnel and results obtained showed maximum power coefficient of 0.372 at a blade pitch angle of 20[deg] and when the two folded lines are at angles of 5[deg] and 10[deg] parallel to the forward edge.

Mohammad Sheibani received the PhD degree in mechanical engineering from Ferdowsi university of Mashhad, IRAN in 2015. He is working at Air-Sun research institue of Ferdowsi university in wind turbine simulation and control section. His current interests include vibrations, dynamics and damage detection of wind turbines.

This paper develops a full structural model of a horizontal axis wind turbine, including three blades, a rigid hub, a tubular tower and a rigid nacelle using beam finite element approach.The beam element model is linear with 14 DOF and arbitrary cross section that considers the rotational velocity, shear center, warping and gyroscopic effects, stiffening due to the rotation and all the structural couplings which has been already developed by the same authors and here is modified to include the transverse shear and concentrated mass effects. The blade and the tower roperties are considered to be variable along each element to reduce the model size and hence the running time. Another model of the same turbine by shell elements is created in ABAQUS.To validate the accuracy of the proposed model the natural frequencies, mode shapes and the frequency and dynamic responses of the model are extracted and compared with ABAQUS results. In addition, the effects of the rotor speed and the blade pitch angle on the modal properties of the turbine are studied.