An Efficient Method to Estimate Admittance of Black-boxed Inverter-based Resources for Varying Operating Points

IF 6.9 2区 工程技术 Q2 ENERGY & FUELS CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI:10.17775/CSEEJPES.2023.07090
Weihua Zhou;Bin Liu;Nabil Mohammed;Behrooz Bahrani
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Abstract

Traditional analytical approaches for stability assessment of inverter-based resources (IBRs), often requiring detailed knowledge of IBR internals, become impractical due to IBRs' proprietary nature. Admittance measurements, relying on electromagnetic transient simulation or laboratory settings, are not only time-intensive but also operationally inflexible, since various non-linear control loops make IBRs' admittance models operating-point dependent. Therefore, such admittance measurements must be performed repeatedly when operating point changes. To avoid time-consuming and cumbersome measurements, admittance estimation for arbitrary operating points is highly desirable. However, existing admittance estimation algorithms usually face challenges in versatility, data demands, and accuracy. Addressing this challenge, this letter presents a simple and efficient admittance estimation method for black-boxed IBRs, by utilizing a minimal set of seven operating points to solve a homogeneous linear equation system. Case studies demonstrate this proposed method ensures high accuracy across various types of IBRs. Estimation accuracy is satisfying even when non-negligible measurement errors exist.
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估算基于黑盒子逆变器的资源在不同工作点上的导纳的有效方法
对逆变器资源(IBR)进行稳定性评估的传统分析方法通常需要详细了解 IBR 的内部结构,但由于 IBR 的专有性质,这种方法已变得不切实际。依靠电磁瞬态模拟或实验室设置进行的导纳测量不仅耗时,而且操作不灵活,因为各种非线性控制回路使 IBR 的导纳模型依赖于操作点。因此,当工作点发生变化时,必须重复进行此类导纳测量。为了避免耗时和繁琐的测量,对任意工作点进行导纳估计是非常理想的。然而,现有的导纳估计算法通常在多功能性、数据需求和准确性方面面临挑战。针对这一挑战,本文提出了一种简单高效的黑盒子 IBR 导纳估计方法,利用最小的七个工作点来求解一个均质线性方程组。案例研究表明,所提出的方法可确保各种类型 IBR 的高精度。即使存在不可忽略的测量误差,估计精度也能令人满意。
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来源期刊
CiteScore
11.80
自引率
12.70%
发文量
389
审稿时长
26 weeks
期刊介绍: The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.
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