The purpose of this paper is to validate a control scheme of a wind turbine in its full operating range. In order to fully validate a chosen approach, it is usually necessary to perform experimental tests on a system. Fortunately, today, simulation can be a very efficient way to evaluate engineering solutions. Indeed, it is possible to perform very advanced simulations using a model sufficiently detailed to go entirely through the effects of interactions between many factors affecting the operation of the wind turbine. Failure to perform proper interconnection studies can lead to false conclusions regarding the controllers design and could endanger operations on the real system. Numerical simulation tools developed specifically for power systems and dynamic modeling may be used but general purpose modeling software such as Matlab-Simulink is well suited to the task. This paper presents an integrated Matlab-Simulink simulation platform for a robust control of a wind energy conversion system based on a hybrid excitation synchronous generator (HESG).
This article discusses the control optimization of a hybrid generator-based wind conversion system (WCS). The optimization issues consider the maximization of the extracted wind power for the below-rated wind speeds and the load mitigation for high wind speeds. To do so, a DC/DC converter is used to realize the steady-state control of the generator's velocity through the adjustment of the excitation current, leading to maximization in the wind extracted power. As for the high wind speeds, a H∞ regulator implemented for the pitch control and a filter smoothing for the pitch angle reference are used to mitigate the load. Thanks to the implemented control strategy, the amplitude of the fluctuation of the bending moment was reduced by about 20% and the turbine torque vibration was reduced by 66% in comparison with other existing works from the literature conducted on the same wind turbine. The velocity controller is three times faster than the baseline controller and allows for increasing the wind extracted power by 6%. In this research, an integrated simulation platform, combining the electrical, mechanical, and aerodynamic aspects of a WCS, is set up. The space harmonics of the generator, the commutation effects of the power converters, the flexible coupling between the wind turbine's mechanical elements, and the aerodynamic interactions are taken into account. Finally, the control of the WCS in its full operating range is considered. The mechanical and aerodynamic data from the 1.5 MW WindPACT turbine available in the Fatigue, Aerodynamics, Structures, and Turbulence simulator are used for the simulations.
Setting up an experimental test bench for a large-scale wind conversion system (WCS) could be very challenging in terms of cost, size and complexity of the electrical and mechanical components especially in an academic research environment. Therefore, the aim of this paper is to establish an alternative through the development of a realistic simulation model. Such a model is essential for a better performances' assessment of the studied 1.5 MW aerogenerator, based on a Hybrid Excitation Synchronous Generator (HESG). A model of the WCS taking into account both complex electrical phenomena and aerodynamic behaviors is established using the code FAST. Two pitch controllers are proposed and investigated. The first one consists of a conventional PI regulator. As for the second one, it includes a PI-based fuzzy logic controller. The blades' loads, the low-speed shaft (LSS) torque ripple and loads are also given. Simulations results have confirmed the efficiency of the implemented fuzzy logic pitch controller and the capabilities of the developed model in simulating the behaviors of the modeled WCS in different operating regions.
Introduction
As a part of the CONFIDE project, 3 Centres for Evidence into Health Policy (C4EHPs) were established in the Universities of Sfax (Head Office), of Tunis El Manar and of Sousse in Tunisia. The tasks of the C4EHPs include development of training programs, establishment of a national network of public institutions and NGOs, which will offer internship placements for the centres’ trainees as well as enhance public health development in Tunisia in general.
The progress
The 3 Centres were established, each with the necessary infrastructures of specially designated rooms equipped with computers, books, etc. A communication platform was launched and is regularly updated. Partnership agreements with NGOs and private institutions have been signed. The C4EHPs have supported three Train-the-Trainer modules for 18 Tunisian trainers ran by the 3 European CONFIDE partners, autumn 2018. The centres have each further trained 29 Trainees under the supervision of the European partners, spring 2019.
Conclusions
The 3 C4EHPs will act as an open source for all trainees interested in enhancing their practical work experience, networking between academic and non-academic environment and facilitating the implementation of the trainee internships. They will also market the CONFIDE products in Tunisia with the aim to sustain the public health development also after CONFIDE. In addition, the centres will search for further international funding for both training and collaborative research, according to the research domain of each faculty. The C4EHP of Sfax will be specialized in the areas of addiction, obesity, emerging infectious diseases and the quality of public health management in rural areas. The challenges of this work include lack of infrastructure and economic resources in Tunisia, lack of multi-level and cross-sectorial collaboration in public health as well as lack of stakeholder collaboration with NGOs and other non-governmental actors in public health.
This paper presents an original and autonomous solar pumping system, based on a Switched Reluctance Motor commutated by photovoltaic cells (SRMPV) and powered by a photovoltaic generator. In this work, experimental tests characterizing the SRMPV are presented. Based on these experiments, the first mathematical model of this complex system is developed and implemented under the Matlab-Simulink platform. In order to optimize the design of the SRMPV, the simulation platform is used to perform a sensitivity study. This research will focus on the determination of the optimal number of coils, the optimal air gap, and the optimal winding cross area of the switched reluctance motor.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.