基于自适应预测时域的独立微电网二次频率控制
Based on adaptive horizon VSG constructed independent microgrid secondary frequency control
尹敬轩 1王泽伟2
作者信息
- 1. 东北电力大学电气工程学院,吉林 吉林 132012
- 2. 国网延边供电公司,吉林 延吉 133707
- 折叠
摘要
微电网包含风、光发电等分布式电源,具有惯性小、随机性大等特点,给系统频率控制带来挑战.然而,如果风光发电采用虚拟同步机(Virtual Synchronous Generator,VSG)控制,可提高系统频率控制能力.针对风光出力波动性的问题,首先确定变步长决策指标,得到自适应步长决策,面对不同的功率偏差时得到最优预测时域P,以保证模型预测控制器(Model Prediction Control,MPC)输出最优控制量,提高微电网的频率调节能力.然后,风机、光伏采用减载控制,进一步提高系统备用功率.最后,建立含多个VSG的微电网模型,在不同场景下与常规二次调频方法进行对比仿真.仿真结果表明,所提方法能够提高系统频率恢复速度,减小系统频率波动.
Abstract
Microgrids include distributed power sources such as wind and solar power generation,which have the characteristics of low inertia and large randomness,which brings challenges to system frequency control.However,if wind and photovoltaic power generation are controlled by a virtual synchronous generator(VSG),the frequency control capability of the system can be improved.In order to solve the problem of fluctuation of wind and solar output,firstly,the variable step size decision index is determined,the adaptive step size decision is obtained,and the optimal prediction time domain P is obtained in the face of different power deviations,so as to ensure that the Model Prediction Control(MPC)outputs the optimal control quantity,and then improve the frequency regulation ability of the microgrid.In addition,wind turbines and photovoltaics adopt load reduction control to further improve the backup power of the system;Finally,a microgrid model with multiple VSGs is established,and compared with the conventional secondary frequency modulation method in different scenarios.The simulation results show that the proposed method can improve the system frequency recovery speed and reduce the system frequency fluctuation.
关键词
构网型/模型预测控制/微电网/VSG控制Key words
grid-forming/model predictive control/microgrid/VSG引用本文复制引用
出版年
2024
NETL
NSTL
万方数据