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

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

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Traditional analytical approaches for stability as-sessment 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 mea-surements,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.

Admittance estimationblack boxinverter-based resourcemeasurement erroroperating point

Weihua Zhou、Bin Liu、Nabil Mohammed、Behrooz Bahrani

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Department of Electrical and Computer Systems Engineering, Monash University,Melbourne 3800,Australia

Energy Centre,Commonwealth Scientific and Industrial Research Organisation(CSIRO),Newcastle 2300,Australia

Network Planning Division,Transgrid,Sydney 2000,Australia

Australian Research for Global Power System Transformation(Stage 2)Topic 2Australian Renewable Energy Agency

2023/ARP010

2024

中国电机工程学会电力与能源系统学报(英文版)
中国电机工程学会

中国电机工程学会电力与能源系统学报(英文版)

CSTPCDEI
ISSN:2096-0042
年,卷(期):2024.10(1)
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