A Comparative Analysis of Prominent Virtual Synchronous Generator Strategies Under Different Network Conditions

IF 3.3 Q3 ENERGY & FUELS
Chalitha Liyanage;Inam Nutkani;Lasantha Meegahapola
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引用次数: 0

Abstract

The virtual synchronous generator (VSG) is the most widely used grid-forming inverter (GFMI) control technique. The VSG can provide enhanced ancillary services and improved dynamic response compared to conventional synchronous generators and grid-following inverters (GFLIs). Developing an improved understanding of VSG strategies is vital to deploy them in the appropriate context in power grids. Therefore, this paper provides a rigorous comparative performance analysis of prominent VSG strategies (e.g., ISE-Lab, synchronverter, Kawasaki Heavy Industries (KHI) model, and power synchronisation control (PSC)) under different network conditions (e.g., X/R ratios, network faults, and load types). Dynamic simulation studies have been carried out using a simplified test system to assess the performance of VSG models. Furthermore, comprehensive mathematical models of VSGs have been derived in order to verify the simulation results through a frequency domain stability analysis. Moreover, the offline simulation platform results have been validated in real-time using the IEEE-39 bus network on the OPAL-RT platform. According to the analysis, the synchronverter-based VSGs perform much better under low X/R ratios, fault conditions, and dynamic loads. Hence, they are more suitable for distribution grids and load centres with a high share of dynamic loads.
不同网络条件下著名虚拟同步发电机策略的比较分析
虚拟同步发电机(VSG)是应用最广泛的并网逆变器(GFMI)控制技术。与传统的同步发电机和电网跟随逆变器(GFLIs)相比,虚拟同步发电机可提供更强的辅助服务和更好的动态响应。加深对 VSG 策略的理解对于在电网中适当部署 VSG 至关重要。因此,本文对不同网络条件(如 X/R 比、网络故障和负载类型)下的主要 VSG 策略(如 ISE-Lab、同步逆变器、川崎重工 (KHI) 模型和电力同步控制 (PSC))进行了严格的性能比较分析。我们使用简化的测试系统进行了动态模拟研究,以评估 VSG 模型的性能。此外,还推导出了 VSG 的综合数学模型,以便通过频域稳定性分析来验证仿真结果。此外,离线仿真平台的结果还通过 OPAL-RT 平台上的 IEEE-39 总线网络进行了实时验证。分析结果表明,基于同步逆变器的 VSG 在低 X/R 比、故障条件和动态负载下的性能要好得多。因此,它们更适用于动态负载比例较高的配电网和负载中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.80
自引率
5.30%
发文量
45
审稿时长
10 weeks
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