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Equivalent Aggregated Modeling of Multi-VSC System for Transient Synchronization Stability Analysis

Yushuang Liu, Hua Geng, Changjun He, Wenze Ding, Chen Shen, Geng Yang

2023IEEE Transactions on Power Systems17 citationsDOI

Abstract

In a multi-voltage-source-converter (multi-VSC) system, there may be a scenario where some VSCs lose synchronization stability and others keep stable under grid faults. To describe and analyze the transient behavior of the system under such a scenario, accurate equivalent models are indispensable. In this article, a coherency-based equivalent aggregated modeling method of multi-VSC systems is developed for transient stability analysis. By investigating the factors that reflect the dynamic characteristics of VSCs, the pre-fault and post-fault <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">q</i> -axis voltage drops on collector impedance of each VSC are selected as the coherency identification indicators, and a coherency criterion based on these indicators is proposed. Then, by assessing the transient synchronization stability of multiple VSCs, a criterion based on electrical distances is provided to ensure that VSCs with different stability will not be divided into a coherent group. Combining these two criteria, VSCs can be divided into different coherent groups and aggregated as several equivalent VSCs. Thus, the equivalent model of the multi-VSC system can be obtained. The proposed model is verified by simulations of a multi-VSC system connected to the IEEE 39-bus power grid. Compared with the existing equivalent model, the proposed model shows advantages in precisely reflecting the power dynamics of the multi-VSC system where VSCs present different transient stability under faults. It provides an effective tool for behavior prediction and transient synchronization stability analysis of multiple VSCs.

Topics & Concepts

Transient (computer programming)Voltage sourceSynchronization (alternating current)Control theory (sociology)Electric power systemStability (learning theory)GridComputer scienceElectrical impedanceFault (geology)Power (physics)VoltageTopology (electrical circuits)EngineeringMathematicsPhysicsElectrical engineeringControl (management)GeologyGeometryMachine learningOperating systemQuantum mechanicsSeismologyArtificial intelligenceMicrogrid Control and OptimizationIslanding Detection in Power SystemsHVDC Systems and Fault Protection