Abstract
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.
Highlights
In the current world, with the development of various undertakings, the demand for electric power is growing
China has achieved fruitful results in photovoltaic power generation and other renewable energy fields [3]. These renewable sources power generation systems may cause power quality problems such as frequency deviation, voltage fluctuation, voltage flicker, and harmonic distortion when they are integrated into a power system
Voltage total harmonic distortion is a commonly used parameter to measure the level of harmonics, and its calculation is shown in Equation (2)
Summary
With the development of various undertakings, the demand for electric power is growing. Catastrophe decision theory is applied in [8] to evaluate the power quality; the method does not need to determine the weight of indices, but it relies too much on the establishment of the index system. This situation occurs in the use of membership functions Based on this question, this paper proposes a novel method to improve the comprehensive assessment of steady-state power quality. The traditional best-worst (BW) method is improved by using triangular fuzzy numbers, and a triangular fuzzy BW method is obtained to determine the interval weight of each steady-state power quality index. Establishment of the Steady-State Power Quality Comprehensive Evaluation System
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