TY - GEN
T1 - Comparative evaluation of dynamic performance of virtual synchronous machine and synchronous machines
AU - Khan, Md Asif Uddin
AU - Hong, Qiteng
AU - Liu, Di
AU - Egea Alvarez, Agusti
AU - Dyśko, Adam
AU - Booth, Campbell
AU - Rostom, Djaved
N1 - Conference code: 9
PY - 2021/10/21
Y1 - 2021/10/21
N2 - Increasing penetration of converter-interfaced renewable generation has led to significant operational challenges for power systems. Such challenges are mainly caused by the different capabilities and dynamic responses of the converters compared with synchronous machines, e.g. converters do not naturally provide inertia to the system and contribute limited fault level with very different fault characteristics. Virtual Synchronous Machines (VSMs) and Synchronous Condensers (SCs) are both considered as promising solutions to address the challenges in operating converter-dominated power systems. This paper presents comprehensive studies for evaluating and comparing the dynamic performance of VSM, SC and Synchronous Generators (SGs), under a range of grid contingency events, which include short circuit faults, frequency disturbances, voltage depression, etc. The studies aim to offer insights on the level of support VSMs can offer to the system as compared with SCs and SGs, and their advantages, potential issues and limitations that need to be considered for a wider application in the system. From the studies, it is found that the VSM can successfully ride through a voltage depression of 0.1 pu for 140 ms as part of the stability path-finder requirements of fault ride through. Furthermore, the VSM unit can have a comparable performance with SC and SG from the perspective of provision of inertial response. However, in terms of voltage step simulation, reactive power injection from the VSM is very low compared to SC and SG and the fault current characteristic of the VSM is controller depended and cannot inject high fault currents like SC and SG.
AB - Increasing penetration of converter-interfaced renewable generation has led to significant operational challenges for power systems. Such challenges are mainly caused by the different capabilities and dynamic responses of the converters compared with synchronous machines, e.g. converters do not naturally provide inertia to the system and contribute limited fault level with very different fault characteristics. Virtual Synchronous Machines (VSMs) and Synchronous Condensers (SCs) are both considered as promising solutions to address the challenges in operating converter-dominated power systems. This paper presents comprehensive studies for evaluating and comparing the dynamic performance of VSM, SC and Synchronous Generators (SGs), under a range of grid contingency events, which include short circuit faults, frequency disturbances, voltage depression, etc. The studies aim to offer insights on the level of support VSMs can offer to the system as compared with SCs and SGs, and their advantages, potential issues and limitations that need to be considered for a wider application in the system. From the studies, it is found that the VSM can successfully ride through a voltage depression of 0.1 pu for 140 ms as part of the stability path-finder requirements of fault ride through. Furthermore, the VSM unit can have a comparable performance with SC and SG from the perspective of provision of inertial response. However, in terms of voltage step simulation, reactive power injection from the VSM is very low compared to SC and SG and the fault current characteristic of the VSM is controller depended and cannot inject high fault currents like SC and SG.
KW - virtual synchronous machine (VSM)
KW - synchronous condenser (SC)
KW - faults
KW - weak power systems
KW - low inertia systems
KW - grid-forming converter (GFC)
U2 - 10.1049/icp.2021.1362
DO - 10.1049/icp.2021.1362
M3 - Conference contribution book
SP - 366
EP - 371
BT - The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)
PB - IEEE
CY - Piscataway, NJ
T2 - The 9th International Conference on Renewable Power Generation
Y2 - 1 March 2021 through 2 March 2021
ER -