电力系统自动化2017，Vol.41Issue(8)：116-124,9.DOI:10.7500/AEPS20160729015
基于变下垂系数的直流配电网自适应虚拟惯性控制
Adaptive Virtual Inertia Control of DC Distribution Network Based on Variable Droop Coefficient
摘要
Abstract
A DC distribution network using voltage droop control strategy has good stability, but the ability to adjust the high frequency random power fluctuations is poor.Being suitable for the voltage droop control of DC distribution network, a virtual inertia control method is studied to accommodate the rapidity and stability of the regulator, and to improve the quality of the DC voltage.The control strategy can compensate for the system power shortage by the rapid adjustment of battery's charging and discharging rate, which is caused by the change in the battery's droop coefficient.Thus this control strategy can provide a virtual capacitance much larger than the actual capacitance at the DC side and improve the system inertia.At the same time, the theoretical analysis of the specific virtual inertia margin under different operating conditions is provided, so that the control strategy can adjust the droop coefficient on the basis of the allowed swing range adaptively, allowing the battery to provide variable inertia support in accordance with its virtual inertia margin.This ensures the full and rational use of the inertia margin.In order to verify the effectiveness of the proposed control strategy, a four-terminal wind-battery-based DC distribution network is established in MATLAB/Simulink.The results show that the proposed control strategy is able to improve the system's transient response, improve the quality of DC bus voltage, and smooth the power fluctuation between the AC grid and DC grid.关键词
直流配电网/虚拟惯性/下垂控制/蓄电池储能/电能质量Key words
DC distribution network/virtual inertia/droop control/battery energy storage/power quality引用本文复制引用
王毅,黑阳,付媛,施凯伦..基于变下垂系数的直流配电网自适应虚拟惯性控制[J].电力系统自动化,2017,41(8):116-124,9.基金项目
国家高技术研究发展计划(863计划)资助项目(2015AA050101).This work is supported by National High Technology Research and Development Program of China (863 Program) (No.2015AA050101). （863计划）
