Power quality interval grading evaluation method of AC/DC distribution network considering source-load weighting and voltage coupling

• Published in: Journal of physics. Conference series Vol. 2703; no. 1; pp. 12076 - 12084
• Main Authors: Wang, Lianhui, Lin, Yan, Xiang, Yang, Zhang, Yan, Lan, Jinchen, Wang, Jiang, Qin, Liang
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.02.2024
• Subjects: Algorithms; Analytic hierarchy process; Coupling; Electric potential; Entropy (statistics); Load; Networks; Quality assessment; Renewable energy sources; Voltage; Weighting; Weighting methods
• DOI: 10.1088/1742-6596/2703/1/012076
• ISSN: 1742-6588

Abstract In the context of the ‘dual carbon’ goal, the integration of renewable energy sources has a significant impact on distribution systems, while the substantial integration of DC loads and photovoltaic power has led to a progressive transition of conventional distribution networks towards hybrid AC-DC distribution networks in the field of electrical engineering. However, this shift has brought about more formidable power quality challenges within the power industry. To address these emerging power quality issues, we propose a novel power quality interval grading evaluation method for AC/DC distribution networks considering source-load weighting and voltage coupling. Firstly, the voltage acquisition data is meticulously decoupled to disentangle the interdependencies. Secondly, the power quality evaluation system of the AC/DC distribution network is established. Considering the influence of different access source-load types on each node, the subjective weight is determined by source load weighted two-tuple linguistic analytic hierarchy process (AHP), the objective weight is determined by the entropy weight method, and the idea of using game equilibrium algorithm to obtain comprehensive weight to balance the error of single weight on evaluation result is put forward. Then, the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) of interval number improvement is used to classify and evaluate the power quality index to make up for the shortcomings of the single-point sampling method. Finally, a more accurate and comprehensive power quality evaluation result is obtained based on a practical example.