Review of Power System Support Functions for Inverter-Based Distributed Energy Resources-Standards, Control Algorithms, and Trends

被引:67
|
作者
Xu S. [1 ]
Xue Y. [2 ]
Chang L. [3 ]
机构
[1] School of Electrical and Control Engineering, North China University of Technology, Beijing
[2] Eesrd, Oak Ridge National Laboratory, Oak Ridge, 37831, TN
[3] Emera and Nb Power Research Centre for Smart Grid Technologies, University of New Brunswick, Fredericton, 08854, NB
来源
IEEE Open Journal of Power Electronics | 2021年 / 2卷
基金
加拿大自然科学与工程研究理事会;
关键词
Distributed energy resources (DERs); inverters; power system support functions; reactive power control; voltage ride-through;
D O I
10.1109/OJPEL.2021.3056627
中图分类号
学科分类号
摘要
Penetration of renewable energy in power systems has been increasing in the past decades in response to increased global electricity demand and concerns for the environment. Distributed energy resources (DERs) based on renewables have experienced rapid growth thanks to the incentive programs and broad-based participation. With the growing prevalence of DERs, the risk of grid instability and vulnerability increases due to the intermittent nature of renewable energy. At the same time, the voltage and frequency deviation problems emerge more often when the reverse power flow occurs under supply-demand imbalance in distributed power systems. Standards and grid codes have been issued for DER inverters to interconnect with the distribution grid. The updated standard and grid codes expect DERs to provide a variety of power system support functions in order to incorporate higher DER penetration and to maximize DER value to the grid. This paper provides an overview of the power system support functions from renewable DER inverters, which are categorized as: voltage regulation by active/reactive power control, frequency regulation by active power control, voltage ride-through, and frequency ride-through. The benefits and drawbacks of each algorithm are presented and compared with its predecessor, manifesting the logic in the evolution of the algorithms. © 2020 IEEE.
引用
收藏
页码:88 / 105
页数:17
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