Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systems

Abstract

With intermittence and stochastics of wind power largely introduced into power systems, power system stability analysis and control is in urgent need of reliable wind farm models. Considering the superiority of wide-area measurement systems, this paper develops a novel methodology for practical synchrophasor measurement-based modeling and parameter identification of wind farms. For the sake of preserving basic structural characteristics and control patterns simultaneously, a comprehensive wind farm model is constructed elaborately. To improve the efficiency of the identification procedure, dominant parameters are classified and selected by trajectory sensitivity analysis. Furthermore, an improved genetic algorithm is proposed to strengthen the capability of global optimization. The test results on the WECC benchmark system and the CEPRI 36-bus system demonstrate the effectiveness and reliability of the proposed modeling and identification methodology.

Parameters Identification of Equivalent Model of Permanent Magnet Synchronous Generator (PMSG) Wind Farm Based on Analysis of Trajectory Sensitivity

“…As direct current (DC) capacitors, filter inductors and equivalent distribution network impedance are static components, they can be fixed to nameplate or technical manuals values, and are not identified. The specific aggregation methods can be found in [18]. Moreover, PMSG is a rotating element.…”

“…The model of parameters identification is shown in (18). The meanings of P(θ, t), P eq (θ, t), Q(θ, t), Q eq (θ, t), θ min , θ and θ max are similar to [22].…”

“…Xueyang Cheng et al estimate the key parameters of the equivalent model of DFIG wind farm using PSO gradient search optimization with PMU data [17]. Yinfeng Wang et al use improved GA to strengthen the capability of global optimization [18]. L. P. Kunjumuhammed et al pointed out that aggregation 2 of 17 methods must be improved to enhance precision [19].…”

A fault locating method for multi-branch hybrid transmission lines in wind farm based on redundancy parameter estimation

“…Because making full use of all the transmission equations can eliminate measured data errors, a statistical parameter estimation method based on redundancy is proposed to cope with the situation where the measured data have a high degree of redundancy. It can reduce the locating error and be realized through the parameter estimation algorithm [14]. The formula (5) has sufficient redundancy, which is discussed Section 2.2, to satisfy the preconditions of the statistical parameter estimation method.…”

“…When a short-circuit fault occurs in a transmission line i-j, ignoring the sag effect, the transmission equation of the measuring point p is (13). However, considering the sag effect, the true transmission equation of the measuring point p is (14).…”