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... 10 600 MW, about half that of Germany. The Chinese market was increased by the country’s new Renewable Energy Law. China has more than doubled its total installed capacity by installing 1347 MW of wind energy in 2006, a 70% increase over 2005. This brings China up to 2604 MW of capacity, making it the sixth largest market worldwide. It is expected that more than 40 GW will be installed by 2020; this may become China the third major power supply by that year. Growth in African and Middle Eastern market also picked up in 2006, with 172MW of new installed capacity, mainly in Egypt, Morocco, and Iran, bringing the total up to 441 MW, a 63% growth (Blaabjerg & Chen, 2006). The European Wind Energy Association (EWEA) has set a target to satisfy 23% European electricity needs with wind by 2030. The exponential growth of the wind industry reflects the increasing demand for clean, safe and domestic energy and can be attributed to government policies associated with the environmental concerns, and research and development of innovative cost-reducing technologies. The large scale development of wind power results in the wind turbines/farms becoming a significant part of the generation capacity in some area, which requires that the power system treats the wind turbines/farms like a power source, not only an energy source. The wind power penetration would result in variations of load flows in the interconnected systems, as well as re-dispatch of conventional power plants, which may cause a reduction of reserve power capacity (Slootweg & Kling, 2003). Some actions become necessary to accommodate large scale wind power penetration. For example, the electric grid may need an expansion for bulk electricity transmission from offshore wind farms to load centers, and it may require reinforcement of existing power lines or construction of new power lines, installation of Flexible AC Transmission system (FACTs) devices, etc. The discovery of electricity generated using wind power dates back to the end of last century and has encountered many ups and downs in its more than 100 year history. In the beginning, the primary motivation for essentially all the researches on wind power generation was to reinforce the mechanization of agriculture through locally-made electricity generation. Nevertheless, with the electrification of industrialized countries, the role of wind power drastically reduced, as it could not compete with the fossil fuel-fired power stations. This conventional generation showed to be by far more competitive in providing electric power on a large scale than any other renewable one. Lack of fossil fuels during World War I and soon afterward during World War II created a consciousness of the great dependence on fossil fuels and gave a renewed attention to renewable energies and particularly to wind power. Although this concern did not extend long. The prices for electricity generated via wind power were still not competitive and politically nuclear power gained more attention and hence more research and development funds. It took two oil crises in the 1970s with supply problems and price fluctuations on fossil fuels before wind power once again was placed on the agenda. And they were these issues confronting many countries in the seventies which started a new stage for wind power and motivated the development of a global industry which today is characterized by relatively few but very large wind turbine manufacturers. The beginning of modern wind turbine development was in 1957, marked by the Danish engineer Johannes Juul and his pioneer work at a power utility (SEAS at Gedser coast in the Southern part of Denmark). His R&D effort formed the basis for the design of a modern AC wind turbine – the well-known Gedser machine which was successfully installed in 1959. With its 200kW capacity, the Gedser wind turbine was the largest of its kind in the world at that time and it was in operation for 11 years without maintenance. The robust Gedser wind turbine was a technological innovation as it became the hall mark of modern design of wind turbines with three wings, tip brakes, self-regulating and an asynchronous motor as generator. Foreign engineers named the Gedser wind turbine as ‘The Danish Concept’. Since then, the main aerodynamic concept has been this horizontal axis, three-bladed, upwind wind turbine connected to a three-phase electric grid, although many other different concepts have been developed and tested over the world with dissimilar results. An example of other concepts is the vertical axis wind turbine design by Darrieus, which provides a different mix of design tradeoffs from the conventional horizontal-axis wind turbine. The vertical orientation accepts wind from any direction with no need for adjustments, and the heavy generator and gearbox equipment can rest on the ground instead of on top of the tower. The aim of wind turbine systems development is to continuously increase output power, as depicted in Fig. 1. Since the rated output power of production-type units reached 200 kW various decades ago, by 1999 the average output power of new installations climbed to 600 kW. Today, the manufactured turbines for onshore applications are specified to deliver 2- 3 MW output power. In this sense, the world’s first wind park with novel "multi-mega power class” 7 MW wind turbines was manufactured by the German wind turbine producer Enercon (11 E-126 units) and put into partial operation in Estinnes, Belgium, in 2010 (to be completed by July 2012). The key objective of this 77 MW pilot project is to introduce a new power class of large-scale wind energy converters (7 MW WECs) into the market with potential to significantly contribute to higher market penetration levels for wind electricity, especially in Europe. On the other hand, sea-based wind farms are likely to mean bigger turbines than on land, with models that produce up to three times the power of standard on-shore models. Series production of offshore wind turbines can reach to date up to 5 MW or more, being the largest onshore wind turbine presently under development a 10 MW unit. At least four companies are working on the development of this "giant power class” 10 MW turbine for sea-based applications, namely American Superconductors (U.S.), Wind Power (U.K.), Clipper Windpower (U.K.) and Sway (Norway). Even more, it is likely that in the near future, power rating of wind turbines will increase further, especially for large-scale offshore floating wind turbine applications. A wind turbine is a rotary engine that captures power from a fluid flow (the wind) using aerodynamically designed blades and convert it into useful mechanical power. The available power depends on the wind speed but it is important to be able to control and limit the power at higher wind speeds so as to avoid the damage of the unit. The power limitation may be done by some of the three following methods, namely stall control (the blade position is fixed but stall of the wind appears along the blade at higher wind speed), active stall (the blade angle is adjusted in order to create stall along the blades) or pitch control (the blades are turned out of the wind at higher wind speed). Essentially, three types of typical wind generator systems are the most widely spread. The first type is a constant-speed wind turbine system with a standard squirrel-cage induction generator (SCIG) directly connected to the grid. The second type is a variable speed wind turbine system with a doubly fed induction generator (DFIG). The power electronic converter feeding the rotor winding has a power rating of approximately up to 30% of the rated power; the stator winding of the DFIG is directly connected to the grid. The third type is a variable speed wind turbine with full- rated power electronic conversion system and a synchronous generator or a SCIG. A multi- stage gearbox is usually used with the first two types of generators. Synchronous generators, including permanent magnet synchronous generator (PMSG), may be direct driven though a low-ratio gear box system; one or two stage gearbox, becomes an interesting option. Fig. 2 summarized the major parts included in the mechanical and electrical power conversion of a typical wind turbine system (Chen & Blaabjerg, 2009). drive, etc. The wind turbines are not only installed dispersedly on land, but also combined as wind farms (or parks) with capacities of hundreds MWs which are comparable with modern power generator units. Consequently, their performance could significantly affect power system operation and control (Hansen, et al. 2004). Wind turbines can either be designed to operate at fixed speed (actually within a speed range about 1%) or at variable speed. Many low-power wind turbines built to-date were constructed according to the so-called “Danish concept” that was very popular in the eighties, in which wind energy is transformed into electrical energy using a simple squirrel- cage induction machine directly connected to a three-phase power grid (Qiao et al., 2007). The rotor of the wind turbine is coupled to the generator shaft with a fixed-ratio gearbox. At any given operating point, this turbine has to be operated basically at constant speed. On the other hand, modern high-power wind turbines in the 2-10 MW range are mainly based on variable speed operation with blade pitch angle control obtained mainly by means of power electronic equipment, although variable generator rotor resistance can also be used. These wind turbines can be mostly developed using either a direct-in-line system built with a direct-driven (without gearbox) PMSG grid-connected via a full-scale power converter, or a doubly-fed induction generator (DFIG) system that consists of a DFIG with a partial-scale power converter connected to the rotor windings. Based on these concepts, the most commonly applied wind turbine designs can be classified into four wind turbine concepts, as ...
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This paper addresses the model-based control design of wind turbines using the sector-nonlinearity approach. Building on the Takagi-Sugeno framework, this approach introduces an exact representation of the underlying nonlinear dynamics into the control design. The unified wind turbine control design followed in this study addresses both established...
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... The general idea of wind power is to harness the kinetic energy of wind by transforming it into electrical energy. The modern WT as depicted in Figure 1 is the horizontal axis variable speed wind turbine (VSWT) with threeblade [6], [7]. The VSWT contains an aeroturbine coupled to a doubly-fed induction generator (DFIG) as depicted in Figure 1(a) [8], [9]. ...
... Where the three regions R1, R2, and R3 divide the entire state space. These regions are defined in (7). The stability is proven outside the sliding sector i.e., ( ) ∈ 1 ∪ 2 , and inside the sliding sector i.e., ( ) ∈ 3 through the powerful Lyapunov function (LF) as in (8). ...
This paper presents a new nonlinear control for the overall model of a three-blade horizontal axis variable speed wind turbine (VSWT) including mechanical and electrical parts, with the aim of improving its performance and making it more profitable. The proposed control is an extension of the classical sliding mode control (SMC) by converting its sliding surface into a sliding sector. The classical SMC approach is widely used for nonlinear systems due to its stability against parameter variation, it is robustness against modeling uncertainties, its good results against external disturbances, and its ease of implementation in real time. Unfortunately, the SMC has a major drawback related to the chattering phenomenon. This phenomenon is due to the utility of a higher switching gain in the case of large uncertainties, it causes high-frequency oscillations once the sliding regime is reached, and it can cause a loss of accuracy by influencing the input control variables. This is the reason that aims to develop a new control law to eliminate the chattering and to guarantee stability, which is demonstrated by the Lyapunov theory. The effectiveness of the developed control is compared with the SMC and is illustrated by numerical simulations using MATLAB toolboxes.
... Wind turbine technology because of the environmental, social and economic benefits has become the fastest-growing green energy against other energy resources considering the installed capacity per year [1]. Unlike the other alternative sources, wind turbines industry has attained fullgrown commercial stage. ...
... Wind turbines divided into fixed and variable turbines are widely used nowadays. Variable-speed of the wind and the increased extracted energy from wind reduce loads on the structure [1][2][3][4]. Modeling is a basic tool for analysis that requires experience, repetition and enough accuracy of the system modeler. Almost in all branches of engineering, much effort is being done to gain information about different aspects of a system, which is known as system analysis. ...
In this research paper, ANFIS modeling of 5 kW wind turbine is performed. The turbine modeling is performed by deriving the non-linear dynamic equations of different subsystems. Then, the model parameters are identified to match the actual response. ANFIS is an artificial intelligent technique which creates a fuzzy inference system based on input and output information of the model. In this research, the ANFIS algorithm combines neural network and fuzzy logic with 5 layers which utilize different node functions for learning and setting fuzzy inference system parameters. After learning, by assuming constant parameters, a hybrid method is used to update the results. Employing the proposed method, computation time and complexity are remarkably reduced. Results of the proposed method are then compared and it is shown and concluded that the proposed model performs favorably well.
... (6) [24,25]: ...
Electricity demand in Lesotho has surpassed the main domestic generation of 72-MW hydropower station with 59% capacity deficit currently met by imports from South Africa and Mozambique through costly fixed bilateral contracts. With the abundant renewable energy sources in Lesotho, independent power producers could be incentivized to erect solar PV plants and wind farms to increase local energy security at lower cost and diversify utility's power mix. This article develops a power dispatching approach that prioritizes solar PV and wind generators to aid hydropower station meet demand and only be backed by imports. It uses the Monte Carlo approach to simulate generation adequacy analysis in order to establish monthly average expected demand not supplied (EDNS) and loss of load probability (LOLP) for the baseline case and three dispatch scenarios. According to the analysis, the EDNS for all simulated scenarios never drops to 0 MW, while the LOLP only reaches a minimum of 52% for the scenario with all local renewable energy generators combined. Furthermore, main grid energy imports can be minimized by 22.3% with the introduction of 50-MW solar PV and by 40.2% for 58-MW wind farms. A 59.7% minimization can be obtained by combining solar PV at 50-MW, wind farms at 58-MW and MHP at 72-MW. These introductions would lead to subsequent reductions in power procurement costs of about 6.2% for solar PV alone and 1.11% for both solar PV and wind. However, the inclusion of wind energy alone would lead to slight cost increase of about 0.6%.
... For the proposed system in figure 1, the is turbine based on the direct-drive permanent magnet synchronous generator (DD-PMSG) was considered, which represents an efficient and robust solution, especially for offshore applications, where low maintenance requirements are essential [17]. The model is adapted from the 5 MW reference offshore wind turbine by the National Renewable Energy Laboratory (NREL) in [18]. ...
The promising area of offshore wind power has encouraged wind generation to supply Oil & Gas (O&G) facilities. A potential arrangement comprises a Water Injection System (WIS), as a method for oil recovery in reservoirs, connected to a wind turbine and a Battery Energy Storage System (BESS). However, the wind intermittency poses a challenge for an isolated wind-powered system operation. Therefore, this paper considers a design of a stand-alone system comprised of: a WIS, wind turbine, and BESS based on DC-link interconnection; and proposes a methodology to operate this system aiming to reduce the number of WIS stops. The methodology is based on two perspectives: an energetic analysis in which an energy analytical tool is developed to size the BESS; and a dynamic evaluation performed considering a DC-link voltage-based control to assist the load operation by reducing the WIS stops. The results have shown an adequate performance of the WIS even during moments of lower-wind power generation to the proposed methodology.
... The axial pitch-controlled device with a rotor diameter of 11 m was part of a pilot testing program for three years and during the period imparted crucial inputs which paved the way to later success of the world's first gridconnected turbine -'SeaGen' [65]. In the subsequent years, countries Fig. 7. Description of mechanical and electrical components for a HKT system [55]. ...
Endlessly rising power demands coupled with the growing urge to tackle the effects of climate change has compelled governments worldwide to explore and utilize every possible clean energy option within their geographical vicinities. Malaysia aims to expand the share of renewables in its installed power generation capacity to 20% by the year 2025. To achieve this target, it is extremely important to carry out consistent advancements by unlocking the yet unexploited sustainable alternatives. This paper addresses the abundantly available hydrokinetic resource around Malaysia, which many researchers have suggested as a potential choice for fulfilling a reasonable proportion of Malaysia’s power demand. Since the inception of Malaysian interest in hydrokinetic energy, several studies have been published that focus on identifying the ideal locations across the country for deploying hydrokinetic turbines (HKTs). Through this paper, the authors develop a coherency between those studies and establish a complete picture of the existing literature background on hydrokinetic resource in Malaysia. Such a review is yet to be published and will be a crucial benchmark, especially for future researchers who aim to investigate the still unexplored locations. The paper also discusses the resource evaluation techniques adopted by various researchers and highlights the vital considerations that must be accommodated in future studies to achieve more accurate assessments.
... The rotor blades, gearbox, generator, nacelle, and tower are the main components of wind. [24]. Significant technical and material challenges arise during the realization of this conceptually simple technology in practice. ...
The fundamental challenge for the development of the wind energy conversion system is the natural instability of this resource, which is now at the forefront of the debate. The Internet of Things (IoT) has emerged as a smart and practical approach to renewable energy system management. In addition, the Internet of Things is an important study area with several possibilities for advancement and demanding work. To improve the dependability of wind energy conversion systems, researchers may simulate all potential wind turbine operating scenarios and design power electronics topologies and control algorithms appropriately. The proposed wind emulation platform is wind-turbine-oriented, with significantly increased traceability and efficiency when compared to existing systems. The wind emulation system is driven with real-time wind velocity data. The real-time and forecasted wind data is fetched from global nodes using an IoT cloud application programming interface. The wind emulation system is modeled in the VEE Pro platform and integrated with IoT cloud API and FPGA controller. Data obtained from IoT is converted into actionable information to analyze and investigate wind turbine performance. Also, effective security measures have been taken for ESP8266 communication with the Host Computer. Adapting the proposed IoT algorithm with an associated hardware prototype, the condition of the wind energy conversion system and the power generation capability shall be analyzed in a real-time environment.
... In order to facilitate analysis, following assumptions are made [28,30] The PMSG electrical equation is expressed below [31]: ...
... In the d-q axis rotation coordinate system, (17) express the electromagnetic torque of PMSG [12,27,30]. ...
This paper shows a new manner to exploit the STM32F407 board in order to perform the processor in the loop (PIL) testing by reducing significantly the co‐simulation time. This method requires an FT232RL USB‐UART converter board as an external serial communication interface. The main advantage of this external device lies in the setting of its baud‐rate using the aliasing technique. This technique provides an efficient solution to transfer data between embedded board and computer at high baud‐rate. It allows speeding up the PIL testing and, therefore, makes it more flexible. The studied grid connected wind‐turbine system is based on permanent magnetic synchronous generator (PMSG) followed by back‐to‐back bidirectional converters. The grid side converter (GSC) ensures the DC bus voltage control as well as the unity power factor, while the machine side converter (MSC) ensures the PMSG speed control. The method of the decoupled current control is presented for the GSC. The optimum tip speed ratio (OTSR) algorithm–based maximum power point tracking (MPPT) technique is developed for MSC. Both power and control parts are initially designed and simulated in the same MATLAB/Simulink environment. Once the Simulink model behaves properly and meets the desired requirements, the proposed PIL test is then carried out. The C code is automatically generated from controllers and implemented on the STM32F407 board that acts as an external controller, meanwhile power part still works on the host computer. The PIL test results show the efficiency of the chosen control algorithms and dynamic behavior of the full wind‐turbine system. They also show that the controllers simulated under MATLAB/Simulink behave in the same way once executed on the embedded board.
... It is important to optimize the pitch control performance of the Wind Turbines operating in the region III of its power-speed curve, under contingencies such as a sudden increase above rated wind speed due to abnormal weather condition or decrease in the reference power of the pitch control, as a result of reduced active power generation. The concentration of the PID tuning studies for MPPT in the DFIG, PMSG and SG Wind Turbines and the neglect of SCIG Wind Turbines is because the SCIG is an old generator concept with low efficiency and difficulty to implement the MPPT (generator speed control) due to narrow slip [16]. But the SCIG Wind Turbine is cheap in manufacturing cost, not complex in construction, brushless; robust compared to DFIG Wind Turbine. ...
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... During the last decades, wind energy conversion has had a continuously rising trend in terms of global installed capacity (almost 30% in the last three years), 1,2 and wind turbine size. [2][3][4][5] For what regards the latter factor, 10-MW offshore wind turbines with a 164-m rotor diameter, were commercially available in 2019. By 2030, it an increase of rotor diameter to more than 230 m in offshore wind farms is expected. ...
This paper proposes a paradigm shift in the numerical simulation approach to predict rain erosion damage on wind turbine blades, given the blade geometry, its coating material, and the atmospheric conditions (wind and rain) expected at the installation site. Contrary to what has been done so far, numerical simulations (flow field and particle tracking) are used not to study a specific (wind and rain) operating condition but to build a large database of possible operating conditions of the blade section. A machine learning algorithm, trained on this database, defines a prediction module that gives the feature of the impact pattern over the 2‐D section, given the wind and rain flow. The advantage of this approach is that the prediction becomes much faster than using the standard simulations; thus, the study of a large set of variable operating conditions becomes possible. The module, coupled with an erosion model, is used to compute the erosion damage of the blade working on specific installation site. In this way, the variations of the flow conditions due to dynamic effects such as variable wind, wind turbulence, and turbine control can be also considered in the erosion computation. Here, we describe the method, the database creation, and the development of the prediction tool. Then, the method is applied to predict the erosion damage on a blade section of a reference wind turbine, after one year of operation in a rainy onshore site. Results are in good agreement with on field observations, showing the potential of the approach.
... Evolution of the turbofan engine bypass ratio (top-right panel) through years, entailing an increase in the fan blade slenderness; data taken from[39]. Evolution of the blade length of off-shore and on-shore wind turbines through the years; data take from[40] ...
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