Electro-mechanical Modeling of Wind Turbine and Energy Storage Systems with Enhanced Inertial Response

Abstract

In this paper, a coordinated control scheme for wind turbine generator (WTG) and supercapacitor energy storage system (ESS) is proposed for temporary frequency supports. Inertial control is designed by using generator torque limit considering the security of WTG system, while ESS releases its energy to compensate the sudden active power deficit during the recovery process of turbine rotor. WTG is modeled using the fatigue, aerodynamic, structure, turbulence (FAST) code, which identifies the mechanical loadings of the turbine and addresses electro-mechanical interactions in the wind energy system. A damping controller is augmented to the inertial control to suppress severe mechanical oscillations in the shaft and tower of the turbine during frequency supports. Furthermore, the result of small-signal stability analysis shows that the WTG-ESS tends to improve the stability of the whole multi-energy power grid. The major contributions of this paper will be validated by utilizing the proposed control method that combines the grid support capability and maintaining the integrity of structural design of the turbine for normal operations.

The Economy and Policy Incorporated Computing System for Social Energy and Power Consumption Analysis

“…Traditional econometric models often turn high-frequency data into low-frequency data through accumulation, or turn low-frequency data into high-frequency data through interpolation and filling, and then use single-frequency economic data for modeling. However, such processing methods will change the original information of the data, leading to missing important information of the data or adding useless artificial information, which will increase the error of the prediction result and decrease the accuracy [36][37][38][39][40][41][42]. The economic data fusion input framework proposed by us can fully explore the complex relationship between electricity and economy.…”

Virtual Inertia Estimation Method of DFIG-based Wind Farm with Additional Frequency Control

“…Considering the effect of the parameters used in the additional frequency control, we further change the values of k df and k pf from 2×10 5 to 6×10 5 . After the estimation, the corresponding estimated results of virtual moment of inertia are summarized in Table II.…”

“…With the continuous growth of DFIG-based wind farms, the total equivalent rotary inertia of the system is passively decreased, and the high penetration itself also generates additional disturbance because of the time-varying output. Meanwhile, these factors will challenge the system frequency stability [4], [5].…”

Adaptive Frequency Responsive Control for Wind Farm Considering Wake Interaction

“…Recently, some researchers find that the kinetic energy (KE) stored in the rotational rotor of WT can be utilized as an energy buffer to provide rapid-yet-temporary active power support. This kind of control strategy is generally referred as virtual inertial control [3], [4], which aims to restrain the rate of change of frequency (RoCoF). In [5], a proportional relationship between the electrical torque of WTs and the RoCoF is constructed.…”