scholarly journals The role and mechanisms of influence of the derivatives of regulating capacities on frequency stability in power systems with wind power plants

2020 ◽  
Vol 2020 (1) ◽  
pp. 24-30
Author(s):  
М.M. Kulyk ◽  
◽  
O.V. Zgurovets ◽  
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Power Plants ◽  
Frequency Stability ◽  
Wind Power Plants ◽  
Derivatives Of

scholarly journals Inertia Estimation of Wind Power Plants Based on the Swing Equation and Phasor Measurement Units

2018 ◽  
Vol 8 (12) ◽  
pp. 2413 ◽  
Author(s):  
Omar Beltran ◽  
Rafael Peña ◽  
Juan Segundo ◽  
Aaron Esparza ◽  
Eduard Muljadi ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Frequency Stability ◽  
Phasor Measurement Units ◽  
Wind Power Plants ◽  
Phasor Measurement ◽  
Measurement Units ◽  
Swing Equation

High penetration of wind power plants may have an adverse impact on power systems’ stability by reducing the inertia, and problems like frequency stability could appear due to total inertia in the system being reduced, making the power system more vulnerable to disturbances. However, most recent grid codes include an emulation inertia requirement for wind power plants, because modern wind turbines are capable of providing virtual inertia through power electronic converter controls to improve frequency stability issues. Because of this, it is necessary that the inertia estimation analyze and quantify the impact of the inertia reduction in power systems. In this paper, an implementation of a methodology for the inertia estimation of wind power plants is presented. It is evaluated through synchrophasor measurements obtained from a Real-Time Digital Simulator (RTDS) implementation, using industrial Phasor Measurement Units (PMUs). This methodology is based on the swing equation. Furthermore, a comparison of the results obtained between two professional tools RSCAD and DIgSILENT PowerFactory is performed, in order to evaluate the accuracy and the robustness of the methodology. This methodology is applied for the inertia estimation of an equivalent of the southeast zone of the Mexican power system, where there is a large-scale penetration of wind power plants. The results demonstrate that this methodology can be applied in real power systems using PMUs.

Wind Speed Forecasting Based on FNN in Wind Farm

2014 ◽  
Vol 651-653 ◽  
pp. 1117-1122
Author(s):  
Zheng Ning Fu ◽  
Hong Wen Xie
Keyword(s):  
Neural Network ◽  
Wind Speed ◽  
Power Systems ◽  
Wind Power ◽  
Power Plants ◽  
Fuzzy Neural Network ◽  
Negative Impact ◽  
Wind Speed Forecasting ◽  
Wind Power Plants ◽  
Fuzzy Neural

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.

scholarly journals Wind Inertial Response Based on the Center of Inertia Frequency of a Control Area

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6177
Author(s):  
Alija Mujcinagic ◽  
Mirza Kusljugic ◽  
Emir Nukic
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Frequency Stability ◽  
Control Area ◽  
Rotational Inertia ◽  
Wind Power Plants ◽  
Inertial Response ◽  
Virtual Inertia ◽  
Inertia Response

As a result of the increased integration of power converter-connected variable speed wind generators (VSWG), which do not provide rotational inertia, concerns about the frequency stability of interconnected power systems permanently arise. If the inertia of a power system is insufficient, wind power plants’ participation in the inertial response should be required. A trendy solution for the frequency stability improvement in low inertia systems is based on utilizing so-called “synthetic” or “virtual” inertia from modern VSWG. This paper presents a control scheme for the virtual inertia response of wind power plants based on the center of inertia (COI) frequency of a control area. The PSS/E user written wind inertial controller based on COI frequency is developed using FORTRAN. The efficiency of the controller is tested and applied to the real interconnected power system of Southeast Europe. The performed simulations show certain conceptual advantages of the proposed controller in comparison to traditional schemes that use the local frequency to trigger the wind inertial response. The frequency response metrics, COI frequency calculation and graphical plots are obtained using Python.

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