Implementation and Application of Mapping between IEC61400-25 of Wind Farm and Web Services

2011 ◽  
Vol 383-390 ◽  
pp. 4336-4340
Author(s):  
Zhong Yuan Li ◽  
Bin Duan ◽  
Wei Yang

Along with the development of domestic wind power and the maturement of technology, equipment in the wind farm and monitoring system provided by multiple vendors will not be compatible with each other and it is not easy to make unified maintenance and management on wind power plant. The International Electrotechnical Commission (IEC) has drafted the IEC61400-25 series standard which faces communication for monitoring and control wind power plant for the problems above. In the demand of market competition and expansion of wind farm, IEC61400 will finally become a trend that monitoring system of communication must follow. Aiming at popular communication for monitoring and control wind power plant based on Web Services, this paper has analysed the mapping between IEC61400-25 and Web Services, proposed a concrete solution of engineering implementation,constructed the system structure of communication for monitoring and control wind power plant, designed software module structure of Web Services service of wind power, solved the problem of compatible between the communication for monitoring and control wind power plant based on Web Services and IEC61400-25 standard.

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1587
Author(s):  
Krzysztof Wrobel ◽  
Krzysztof Tomczewski ◽  
Artur Sliwinski ◽  
Andrzej Tomczewski

This article presents a method to adjust the elements of a small wind power plant to the wind speed characterized by the highest annual level of energy. Tests were carried out on the basis of annual wind distributions at three locations. The standard range of wind speeds was reduced to that resulting from the annual wind speed distributions in these locations. The construction of the generators and the method of their excitation were adapted to the characteristics of the turbines. The results obtained for the designed power plants were compared with those obtained for a power plant with a commercial turbine adapted to a wind speed of 10 mps. The generator structure and control method were optimized using a genetic algorithm in the MATLAB program (Mathworks, Natick, MA, USA); magnetostatic calculations were carried out using the FEMM program; the simulations were conducted using a proprietary simulation program. The simulation results were verified by measurement for a switched reluctance machine of the same voltage, power, and design. Finally, the yields of the designed generators in various locations were determined.


2021 ◽  
Vol 5 (1(82)) ◽  
pp. 35-41
Author(s):  
G. Sidorenko ◽  
A. AlJamil

A technical and economic model of a wind power plant has been developed. Parameterization was carried out and the main parameters of the wind power plant were identified. Statistical relationships of parameters with capital investments in wind turbines and costs of their operation and maintenance were established. The criterion for the search for optimal parameters is taken as the minimum discounted unit costs for the production of electrical energy for the economic life of the wind power plant. To do this, the electricity production in a wind power plant must be maximized by reducing the so-called wake effect that is created in a wind farm due to the shading of some wind turbines by others. The velocity reduction behind each wind turbine is estimated. An algorithm for optimizing the parameters of a wind power plant has been developed. An optimization model was used to determine the parameters of the Hasia wind power plant.


2020 ◽  
Vol 1 (2) ◽  
pp. 229-233
Author(s):  
Nila Gusriani ◽  
Muldi Yuhendri

Wind power is a type of renewable energy power plant that is starting to develop in Indonesia. This plant uses wind turbines to convert wind power into mechanical power that will drive the generator. The generators used in this wind power plant have limited capabilities. In order to prevent operation that exceeds the capacity of the generator, it is necessary to monitor and protect the components of the wind power generator. This study proposes a wind power generator monitoring system using the Arduino MKR 1000 based on the Matlab Graphical User Interface (GUI). Wind power plant parameters that are monitored are wind speed, turbine rotation speed and generator output power. The tool made was tested on a wind power plant in the laboratory that uses a horizontal axis wind turbine with a permanent magnet type generator. The test results show that the wind power generator monitoring system made in this study has worked well. This can be seen from the wind speed data, the turbine rotation speed and the generator output power data displayed on the monitoring screen in accordance with the data available on the measuring instrument.


Author(s):  
Bamba Heiba ◽  
Ahmed Med Yahya ◽  
Mohammed Qasim Taha ◽  
Nadhira Khezam ◽  
Abdel Kader Mahmoud

In this paper, the performance analysis of a 30 MW wind power plant is performed. The farm consists of fifteen (T1-T15) G9 7/2000/GAMESA 2 MW grid-connected turbines. The farm is in operation mode installed 28 km south of Nouakchott city in Mauritania. The analyzed data are monitored from July 1st, 2015 (the first operation day of the power plant) to December 31st, 2019. The parameters of performance evaluation are power generation, capacity factor, machine availability, grid availability, and system availability. It is observed from data analysis, the wind farm supplies a total energy of 507.39 GWh to the power grid and have a high average capacity factor of 42.55%. T1 produces the highest amount of electrical energy among the other turbines with a total energy output of 35.46 GWh, an average capacity factor of 44.97%, and operating hours of 33,814 hours. While T12 produced the minimum amount of energy in this period, the difference in energy compared to T1 is 4.563 GWh. It is observed that the availability of the network is unstable and needs improvement, varying between 90.86% in 2016 and 93.16% in 2018. In the first year of operation, 97.06% of the turbines were available. However, the average availability of the wind farm is approximately 94% during the total study period.


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