摘要
针对微电网孤岛运行模式下的传统下垂控制依赖于下垂系数、网络的动态特性的不足,对其进行改进。采用自适应前馈补偿对微电源和微电网其他部分进行动态解耦,以提高动态系统的稳定性和鲁棒性。采用小信号模型进行稳定性分析,增加了递推最小二乘估计算法来估计系统运行点,使控制系统具有自适应特性。该控制策略适用于多逆变型微电源并联运行和功率均分。利用MATLAB/Simulink建立微电网仿真模型,仿真结果表明所提出的控制方法在微电源为可再生能源发电和微电网内部动态特性变化时,可以较快响应并能防止系统发生振荡。
As the traditional droop control strategy depends greatly on the droop coefficient and grid dynamic characteristics,an improved droop control strategy is proposed for the microgrid operating in island mode. The adaptive feedforward compensation is applied in the dynamic decoupling of micro-sources and microgrid to enhance the stability and robustness of dynamic system. The small-signal model is employed in the analysis of system stability and the recursive least-square identification algorithm is used in the operating point estimation to make the control system self-adaptive. The proposed control strategy is suitable for the parallel operation and power sharing of multiple inverter-based micro-sources. A simulation model of microgrid is built with MATLAB/Simulink and the simulative results show that,the proposed control strategy responds quickly to the variation of microgrid internal dynamic characteristics to prevent the system transient oscillation when the micro-sources are renewable energy generations.
出处
《电力自动化设备》
EI
CSCD
北大核心
2014年第7期107-113,共7页
Electric Power Automation Equipment
关键词
微电网
孤岛运行
自适应前馈补偿
下垂控制
小信号模型
递推最小二乘估计
microgrid
islanded operation
adaptive feedforward compensation
droop control
small-signal model
recursive least-square identification
