TY - GEN
T1 - Forecasting based virtual inertia control of PV systems for islanded micro-grid
AU - Chang, Jiaming
AU - Du, Yang
AU - Chen, Xiaoyang
AU - Lim, Eng Gee
AU - Yan, Ke
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Grid frequency stability is maintained by the power system inertia. However, as the converter interfaced photovoltaic (PV) generation increases, the system inertia reduces. This may result in system failures, especially for islanded micro-grid. Virtual inertial control (VIC) technology, which enables PVs to mimic the characteristics of synchronous generators (SG), has drawn increasing attention. Nevertheless, the implementation of a traditional VSG strategy typically requires a constant PV power reserve, causing unnecessary production loss during system steady states. Although VIC can also be effectively implemented by utilizing an energy storage system (ESS). The high cost is still hindering its large-scale integration. In this paper, a forecasting based virtual inertia control (FB-VIC) strategy is proposed, which enables the PV system to serve as an alternative inertia supplier without using any ESS. PV generation is pre-reserved based on the load forecasting results. The reserved PV power and SG are coordinated to perform frequency regulation. A simulation model is built to simulate the proposed FB-VIC method during a system contingency. The simulation results reveal that the proposed method can reduce the instantaneous SG power capacity over 40%. In addition, the proposed control method limits the frequency oscillation in a smaller range, which improves the system dynamic stability.
AB - Grid frequency stability is maintained by the power system inertia. However, as the converter interfaced photovoltaic (PV) generation increases, the system inertia reduces. This may result in system failures, especially for islanded micro-grid. Virtual inertial control (VIC) technology, which enables PVs to mimic the characteristics of synchronous generators (SG), has drawn increasing attention. Nevertheless, the implementation of a traditional VSG strategy typically requires a constant PV power reserve, causing unnecessary production loss during system steady states. Although VIC can also be effectively implemented by utilizing an energy storage system (ESS). The high cost is still hindering its large-scale integration. In this paper, a forecasting based virtual inertia control (FB-VIC) strategy is proposed, which enables the PV system to serve as an alternative inertia supplier without using any ESS. PV generation is pre-reserved based on the load forecasting results. The reserved PV power and SG are coordinated to perform frequency regulation. A simulation model is built to simulate the proposed FB-VIC method during a system contingency. The simulation results reveal that the proposed method can reduce the instantaneous SG power capacity over 40%. In addition, the proposed control method limits the frequency oscillation in a smaller range, which improves the system dynamic stability.
KW - Load forecasting
KW - Micro-grid
KW - Virtual inertial control
KW - Virtual synchronous generator
UR - http://www.scopus.com/inward/record.url?scp=85086300947&partnerID=8YFLogxK
U2 - 10.1109/AUPEC48547.2019.211843
DO - 10.1109/AUPEC48547.2019.211843
M3 - Conference Proceeding
AN - SCOPUS:85086300947
T3 - 2019 29th Australasian Universities Power Engineering Conference, AUPEC 2019
BT - 2019 29th Australasian Universities Power Engineering Conference, AUPEC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th Australasian Universities Power Engineering Conference, AUPEC 2019
Y2 - 26 November 2019 through 29 November 2019
ER -