Hydraulic Wind Power Plants: A Nonlinear Model of Low Wind Speed Operation

2016 ◽  
Vol 24 (5) ◽  
pp. 1696-1704 ◽  
Author(s):  
Masoud Vaezi ◽  
Majid Deldar ◽  
Afshin Izadian
2014 ◽  
Vol 651-653 ◽  
pp. 1117-1122
Author(s):  
Zheng Ning Fu ◽  
Hong Wen Xie

Wind speed forecasting plays a significant role to the operation of wind power plants and power systems. An accurate forecasting on wind power can effectively relieve or avoid the negative impact of wind power plants on power systems and enhance the competition of wind power plants in electric power market. Based on a fuzzy neural network (FNN), a method of wind speed forecasting is presented in this paper. By mining historical data as the learning stylebook, the fuzzy neural network (FNN) forecasts the wind speed. The simulation results show that this method can improve the accuracy of wind speed forecasting effectively.


2002 ◽  
Vol 124 (4) ◽  
pp. 427-431 ◽  
Author(s):  
Yih-huei Wan ◽  
Demy Bucaneg,

To evaluate short-term wind power fluctuations and their impact on electric power systems, the National Renewable Energy Laboratory, in cooperation with Enron Wind, has started a project to record output power from several large commercial wind power plants at the 1-Hertz rate. This paper presents statistical properties of the data collected so far and discusses the results of data analysis. From the available data, we can already conclude that despite the stochastic nature of wind power fluctuations, the magnitudes and rates of wind power changes caused by wind speed variations are seldom extreme, nor are they totally random. Their values are bounded in narrow ranges. Power output data also show significant spatial variations within a large wind power plant. The data also offer encouraging evidence that accurate wind power forecasting is feasible. To the utility system, large wind power plants are not really random burdens. The narrow range of power level step changes provides a lot of information with which system operators can make short-term predictions of wind power. Large swings of wind power do occur, but those infrequent large changes (caused by wind speed changes) are always related to well-defined weather events, most of which can be accurately predicted in advance.


Author(s):  
Amanda Ribeiro de Andrade ◽  
Victor Felipe Moura Bezerra Melo ◽  
Daisy Beserra Lucena ◽  
Raphael Abrahão

2020 ◽  
Vol 12 (15) ◽  
pp. 6017
Author(s):  
Yasemin Ayaz Atalan ◽  
Mete Tayanç ◽  
Kamil Erkan ◽  
Abdulkadir Atalan

This study aims to develop an optimization model for obtaining the maximum benefit from wind power plants (WPPs) to help with reducing external dependence in terms of energy. In this sense, design of experiment and optimization methods are comprehensively combined in the wind energy field for the first time. Existing data from installed WPPs operating in Turkey for the years of 2017 and 2018 are analyzed. Both the individual and interactive effects of controllable factors, namely turbine power (MW), hub height (m) and rotor diameter (m), and uncontrollable factor as wind speed (m/s) on WPPs are investigated with the help of Box-Behnken design. Nonlinear optimization models are utilized to estimate optimum values for each decision variable in order to maximize the amount of energy to be produced for the future. Based on the developed nonlinear optimization models, the optimum results with high desirability value (0.9587) for the inputs of turbine power, hub height, rotor diameter and wind speed are calculated as 3.0670 MW, 108.8424 m, 106.7597 m, and 6.1684 m/s, respectively. The maximum energy output with these input values is computed as 9.952 million kWh per unit turbine, annually. The results of this study can be used as a guideline in the design of new WPPs to produce the maximum amount of energy contributing to supply escalating energy needs by more sustainable and clean ways for the future.


Author(s):  
Jayachandra N. Sakamuri ◽  
Kaushik Das ◽  
Mufit Altin ◽  
Nicolaos A. Cutululis ◽  
Anca D. Hansen ◽  
...  

2020 ◽  
Vol 6 (2) ◽  
pp. 64
Author(s):  
Randy Yonanda Pratama ◽  
Muldi Yuhendri

Wind turbines function as producers of mechanical power to drive generators in wind power plants. One factor that needs to be considered in the operation of wind turbines is the maximum capacity of the generator. Wind turbines must operate below the generator rating so as not to cause damage to the generator. Therefore, the operation of the wind turbine needs to be monitored and controlled to keep it operating within the generator rating limits. In this paper a horizontal axis wind turbine monitoring sistem is proposed using an Android smartphone. Wind turbine monitoring includes wind speed and turbine rotation speed parameters. This parameter data is obtained from sensors that are processed with Arduino Mega 2560. Data from Arduino is sent via the Bluetooth HC-04 module to be displayed on an Android smartphone. The experimental results show that the proposed wind turbine monitoring system has worked well. This can be seen from the wind speed and turbine rotation data that is displayed on android is exactly the same as the data on the measuring instrument


Author(s):  
Arin Wildani ◽  
Septiana Kurniasari

ABSTRAK Ketergantungan Indonesia terhadap ketersediaan energi fosil menjadi masalah baru dalam kelangsungan hidup rakyat Indonesia di masa yang akan datang. Energi fosil yang bersifat terbatas dan tidak terbarukan akan habis dalam kurun waktu tertentu. Sehingga diperlukan langkah baru untuk menggunakan energi baru dan terbarukan seperti energi angin. Penelitian ini dilakukan untuk mengetahui potensi pembangunan pembangkit listrik tenaga angin di wilayah Kecamatan Pangarengan Kabupaten Sampang Madura.  Penelitian ini dilakukan dengan cara menganalisa kecepatan angin berdasarkan data dari pengukuran anemometer menggunakan distribusi Weibull. Data yang digunakan yaitu data sekunder yang didapatkan dari dari BMKG Kalianget Sumenep. Berdasarkan distribusi weibull didapatkan bahwa parameter  k sebesar 2,67dan c sebesar 2,88. Dari nilai k dan c didapatkan bahwa persentase probabilitas energi angin paling banyak pada tahun 2016 yaitu 2,5 m/s sebanyak 45%  sedangkan tahun 2017 sebesar 2,6 m/s dengan probabilitas 70%.Kata kunci: energi angin, kecamatan pangarengan, distribusi weibull ABSTRACTIndonesia's dependence on fossil energy availability is a new problem in the survival of the Indonesian people in the future. Fossil energy that is limited and non-renewable will run out in a certain period of time. So that new steps are needed to use new and renewable energy such as wind energy. This research was conducted to determine the potential for the construction of wind power plants in the Pangarengan District, Sampang Madura District. This research was conducted by analyzing wind speed based on data from anemometer measurements using the Weibull distribution. The data used are secondary data obtained from BMKG Kalianget Sumenep. Based on the weibull distribution it was found that the parameters k were 2.67 and c were 2.88. From the values of k and c, it was found that the percentage of probability of wind energy was the most in 2016, which was 2.5 m/s as much as 45% while in 2017 it was 2.6 m / s with a probability of 70%.


2021 ◽  
pp. 58-74
Author(s):  
V. Korobskyy ◽  
◽  
A. Proskura ◽  

The analysis of the provision of wind power plants of low power power supply to different consumers, taking into account the installed capacity and remoteness, is carried out. The expediency of using some design solutions of wind power plants with a horizontal axis of rotation, which are included in the power limitation up to 20 kW, is considered. It was found that low-power hybrid wind turbines equipped with storage devices are the most suitable option for providing power supply to consumers, where there is no centralized power grid within a radius of 20 km. It is noted that the most preferable for use are synchronous alternators over asynchronous or direct current generators. Two technical solutions for the operation of wind turbines are considered, one of which combines the traditional use of the installation with the consumer; and in the other - the connection of the wind turbine with an electric consumer using solar panels, a storage battery and a voltage inverter. It is noted that both options have their own advantages and disadvantages in practice, as well as a feature of the electromechanical system of wind turbines is the unpredictable and uncontrollable input of primary energy of a stochastic air flow, which leads to fluctuations in the output parameters (voltage and current frequency). Therefore, in order to eliminate this drawback and ensure the supply of electricity to consumers, the electricity generated by the generator will be used to charge the storage battery. It is noted that the disadvantages of traditional wind turbines create a significant contradiction, consisting in the emergence of the need to increase their energy efficiency of operation by improving the traditional design, on the one hand, and the inability of existing wind turbines to provide such an increase, on the other hand. In this case, the most rational solution may be the use of a wind turbine design with solar panels, which will ensure the operation of the wind turbine in a windless period and efficient adjustment of electrical payloads with increasing wind speed using the accumulated energy to power the current collectors. When conducting research in the field of wind energy, it is often necessary to use different models. The mathematical model describes a real object only with a certain degree of approximation (detail). In this case, the type of model depends both on the nature of the object under study and on the research tasks, modeling techniques, and the required accuracy of object description. The study proposes a simulation model of a wind power plant in the Simulink software application to estimate the generated power. The dependences of the design power of the wind turbine on the wind speed at three different radii of the wind turbine are obtained. Key words: wind power plant, consumer, installed capacity, renewable energy sources, wind speed, simulation, wind turbine, storage battery, generator, voltage inverter


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