平衡频率与功率振荡的虚拟同步机惯量阻尼参数优化控制
CSTR:
作者:
作者单位:

(华北电力大学新能源电力系统国家重点实验室,北京 102206)

通讯作者:

袁 敞(1981—),男,博士,副教授,主要从事新型功率变换电路和控制方法及其在电力系统的应用研究;E?mail: wjj707013079@163.com

中图分类号:

TM761

基金项目:

国家重点研发计划(2021YFB2601402);国家自然科学基金(51877081)


Optimal control of inertia damping parameters of virtual synchronous machine with balance frequency and power oscillation
Author:
Affiliation:

(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University, Beijing 102206, China)

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    摘要:

    虚拟同步机为系统提供了惯量与阻尼支撑,但同时会带来类似传统同步发电机的频率和功率振荡问题。频率的振荡伴随着有功功率的振荡,现有虚拟同步机(VSG)控制方法大多着眼于提高系统频率稳定性,而忽略了功率振荡的问题。为此,提出一种虚拟同步机惯量阻尼参数优化控制策略,以频率偏差和有功功率偏差平方和最小为目标函数,采用遗传算法对新构建的目标函数进行最小值寻优;结合具体算例验证优化方法,建立孤网运行的双机并联的虚拟同步机系统模型。基于此模型,采用PSCAD时域仿真对分析和提出的优化方法进行验证,达到频率和输出有功功率振荡平衡、系统具有更好的频率和功率振荡的目的。

    Abstract:

    Virtual synchronous machine provides inertia and damping support for power systems, but at the same time, it will bring the similar problems of frequency and power oscillation as traditional synchronous generators. The oscillation of frequency is accompanied by the oscillation of active power. Most of existing virtual synchronous machine control methods focus on improving the system frequency stability, ignoring the power oscillation. Therefore, an optimal control strategy of inertia damping parameters of virtual synchronous machine is proposed. Taking the minimum sum of squares of frequency deviation and active power deviation as the objective function, the genetic algorithm is used to explore the minimum value of the newly constructed objective function. This optimization method is then verified by a specific test model. Based on this time?domain simulation model in PSCAD, the proposed method can therefore be validated. The capability to balance the frequency oscillation and output active power oscillationwill make the system frequency oscillation and power oscillation enhanced.

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引用本文

袁 敞,王俊杰,胡嘉琦,等.平衡频率与功率振荡的虚拟同步机惯量阻尼参数优化控制[J].电力科学与技术学报,2023,38(4):15-23,56.
YUAN Chang, WANG Junjie, HU Jiaqi, et al. Optimal control of inertia damping parameters of virtual synchronous machine with balance frequency and power oscillation[J]. Journal of Electric Power Science and Technology,2023,38(4):15-23,56.

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  • 在线发布日期: 2023-11-06
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