scholarly journals Steady-State Power Quality Synthetic Evaluation Based on the Triangular Fuzzy BW Method and Interval VIKOR Method

2020 ◽  
Vol 10 (8) ◽  
pp. 2839
Author(s):  
Jidong Wang ◽  
Naixing Ye ◽  
Leijiao Ge
Keyword(s):  
Steady State ◽  
Power Systems ◽  
Power Quality ◽  
Fossil Fuels ◽  
Evaluation Method ◽  
State Power ◽  
Triangular Fuzzy Number ◽  
National Standards ◽  
Vikor Method ◽  
Synthetic Evaluation

With the increasing consumption of fossil fuels, renewable sources power generation has attracted more and more attention. However, with the integration of renewable energy and a large number of non-linear loads in power systems, several power quality problems are attracting the attention of researchers. At present, only national standards for an individual power quality index have been set in China. When evaluating power quality in practice, the individual standard cannot reflect a comprehensive level of power quality. In this paper, a synthetic evaluation method for steady-state power quality is proposed. Firstly, the traditional BW (best-worst) method is improved based on the triangular fuzzy number, to obtain the interval weight of each evaluation index. Then, the interval VIKOR method is used to evaluate the steady-state power quality monitoring data, and the final evaluation results are obtained. The validity of the proposed method is verified by the experimental data from the dynamic simulation laboratory of Tianjin University.

Improving the Steady State Power Systems Operation by an Optimal Formulation

2012 ◽  
Author(s):  
Juan M. Ramirez ◽  
Xiomara Gonzalez ◽  
Miguel Medina ◽  
Rosa E. Correa
Keyword(s):  
Steady State ◽  
Power Systems ◽  
State Power ◽  
Power Systems Operation

Improving the Steady State Power Systems Operation by an Optimal Formulation

2011 ◽  
Author(s):  
Juan M. Ramirez ◽  
Xiomara Gonzalez ◽  
Miguel Medina ◽  
Rosa E. Correa
Keyword(s):  
Steady State ◽  
Power Systems ◽  
State Power ◽  
Power Systems Operation

scholarly journals A Robust Online Identification of Sustained Low Frequency Oscillation in Steady-State Power Systems

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Zhaobi Chu ◽  
Yan Wang ◽  
Min Zhu ◽  
Xueping Dong ◽  
Hua Li
Keyword(s):  
Steady State ◽  
Power Systems ◽  
Oscillation Frequency ◽  
Integral Manifold ◽  
Oscillation Amplitude ◽  
Low Frequency ◽  
State Power ◽  
Design Parameters ◽  
Frequency Oscillation ◽  
Online Identification

For sustained low frequency oscillations in steady-state power systems, an algorithm is proposed for precise online identification of oscillation frequency, oscillation amplitude, and fundamental amplitude. The algorithm consists of a robust low frequency estimator and a notch filter in parallel. The asymptotical convergence property is analyzed by slow integral manifold, averaging method, and Lyapunov stability theorem sequentially. The steady-state antinoise property is investigated by perturbed system theorem. The robust advantages of the proposed algorithm are embodied in the following aspects: the fundamental amplitude identification is little influenced by oscillation frequency and oscillation amplitude, both oscillation frequency identification and oscillation amplitude identification have small steady-state errors under high order harmonics or bounded noises, the ramp variations of both fundamental amplitude and oscillation amplitude are also significantly tracked, and three design parameters have different effects on identification performance of oscillation frequency, oscillation amplitude, and fundamental amplitude, respectively. Simulation results verify the validity.

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