Comparison and evaluation of grid‑connected performance of grid‑following and grid‑forming stations based on game theory and improved TOPSIS
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(1. School of Electrical Engineering, Xinjiang University, Urumqi 830047, China; 2. State Grid Xinjiang Electric PowerCo., Ltd., Urumqi 830000, China)

Clc Number:

TM72

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    Abstract:

    In order to quantitatively assess the frequency/voltage support effects of grid-following and grid-forming stations, an evaluation index system to quantify the performance of the stations is proposed, considering the power support density and energy support density. First, based on the output response characteristics of grid-following and grid-forming controlled generating units in renewable energy stations, the characteristic quantities of power, voltage, and frequency are observed over multiple time scales in terms of voltage and frequency stability. Second, the coupling relationship between the indicators is considered comprehensively, and the base weights of the indicators are derived using the best-worst method (BWM) and the criteria importance through the inter-criteria correlation (CRITIC) method. The results of both indicator types are integrated into an improved technique for order preference by similarity to ideal solution (TOPSIS) evaluation model using the game-theory-based combinatorial assignment method to achieve a graded evaluation of the station’s grid-connected performance. Finally, the DIgSILENT simulation software is used to develop a model of the power grid in southern Xinjiang for station simulation experiments. The results show that the proposed evaluation index system can effectively compare and evaluate the grid-connected performance of grid-following and grid-forming stations from various aspects.

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杨振奥,陈俊儒,刘雨姗,郭佳俊,常喜强.基于博弈论和改进TOPSIS的跟网型和构网型场站并网性能对比及评估[J].电力科学与技术学报英文版,2025,40(2):206-216. YANG Zhen'ao, CHEN Junru, LIU Yushan, GUO Jiajun, CHANG Xiqiang. Comparison and evaluation of grid‑connected performance of grid‑following and grid‑forming stations based on game theory and improved TOPSIS[J]. Journal of Electric Power Science and Technology,2025,40(2):206-216.

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  • Online: June 06,2025
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