同步冷凝器参数辨识扰动试验方案研究

Jihao Wang, Andong Wang, Zhiwei Cao, Wenbing Zhu, Fuchun Sun, Shanhua Sun
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引用次数: 0

摘要

准确的同步冷凝器模型和参数是交直流混合电力系统分析、运行和控制的基础,而合适的扰动试验方案是保证同步冷凝器参数辨识效果的前提。因此,本文研究了适用于同步电容器的现场试验方案,包括励磁阶跃扰动、甩负荷扰动和开关电容器引起的端电压扰动。然后,利用粒子群优化算法(PSO)对同步冷凝器参数进行辨识。结果表明,在正脉冲激励阶跃扰动和端电压扰动下,参数辨识效果较好。如果将三种干扰下的多组参数辨识结果取平均值作为最终的参数辨识结果,效果会更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Disturbance Test Scheme for Parameters Identification of Synchronous Condenser
Accurate synchronous condenser model and parameters are the basis for analysis, operation and control of AC/DC hybrid power systems, and the appropriate disturbance test scheme is the premise to ensure parameters identification effect of synchronous condenser. Therefore, this paper studies the field test scheme suitable for synchronous condenser, including excitation step disturbance, load rejection disturbance and terminal voltage disturbance caused by switching capacitors. Then, parameters of synchronous condenser are identified using particle swarm optimization algorithm(PSO). The results show that the parameters identification effect is better under the excitation step disturbance with positive pulse and the terminal voltage disturbance. The effect is even better if multiple groups of parameters identification results under three kinds of disturbances are averaged as the final parameters identification result.
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