文章摘要
陈来军,王任,郑天文,等.改善独立微网频率动态特性的虚拟同步发电机模型预测控制[J].电力系统自动化,2018,42(3):40-47. DOI: 10.7500/AEPS20170312003.
CHEN Laijun,WANG Ren,ZHENG Tianwen, et al.Model Predictive Control of Virtual Synchronous Generator to Improve Dynamic Characteristic of Frequency for Isolated Microgrid[J].Automation of Electric Power Systems,2018,42(3):40-47. DOI: 10.7500/AEPS20170312003.
改善独立微网频率动态特性的虚拟同步发电机模型预测控制
Model Predictive Control of Virtual Synchronous Generator to Improve Dynamic Characteristic of Frequency for Isolated Microgrid
DOI:10.7500/AEPS20170312003
关键词: 独立微网(微电网)  频率动态特性  虚拟同步发电机  模型预测控制
KeyWords: isolated microgrid  frequency dynamic characteristic  virtual synchronous generator  model predictive control
上网日期:2017-09-19
基金项目:国家自然科学基金创新研究群体科学基金资助项目(51621065);国家自然科学基金地区科学基金资助项目(51567021);中国博士后科学基金资助项目(2016M601025)
作者单位E-mail
陈来军 青海省清洁能源高效利用重点实验室(青海大学新能源光伏产业研究中心), 青海省西宁市810016
电力系统及发电设备控制和仿真国家重点实验室(清华大学), 北京市100084 
 
王任 电力系统及发电设备控制和仿真国家重点实验室(清华大学), 北京市100084  
郑天文 青海省清洁能源高效利用重点实验室(青海大学新能源光伏产业研究中心), 青海省西宁市810016
电力系统及发电设备控制和仿真国家重点实验室(清华大学), 北京市100084 
tianwenscu@163.com 
司杨 青海省清洁能源高效利用重点实验室(青海大学新能源光伏产业研究中心), 青海省西宁市810016  
梅生伟 青海省清洁能源高效利用重点实验室(青海大学新能源光伏产业研究中心), 青海省西宁市810016
电力系统及发电设备控制和仿真国家重点实验室(清华大学), 北京市100084 
 
摘要:
      随着分布式能源在独立微网内的渗透率不断升高,系统惯量水平逐渐降低。虚拟同步发电机(VSG)由于能够模拟惯量,对系统频率的动态变化具有一定的阻尼作用,已逐步应用于微网中。针对新能源出力波动或负荷投切等导致微网内瞬时功率失衡,进而引起系统频率振荡甚至超过安全约束的问题,提出了基于模型预测控制(MPC)的VSG控制方法。建立了以频率变化率为约束,以频率偏差和VSG出力加权值为优化目标的预测模型。设计了根据系统频率及VSG输出电压—电流等物理量,利用预测模型计算所需功率增量,并据此改变VSG输入功率设定值的整体控制策略。同时,给出了预测模型的求解算法,并对算法收敛性进行分析,为关键参数的选取提供了依据。通过独立微网内负荷投切和分布式电源出力波动等典型工况下的仿真,验证了所提控制策略的正确性和有效性。
Abstract:
      With the continuous increasing penetration of distributed energy in isolated microgrid, the inertia of system is getting lower gradually. Virtual synchronous generator(VSG), which can simulate the inertia of synchronous generator and plays a vital role in damping dynamic frequency variations, has been gradually applied in microgrid. Frequency of island microgrid will oscillate severely and even may exceed its safety constraints when the power imbalance caused by fluctuations of renewable energy output or loads switching happens. To deal with these problems, a virtual synchronous generator control method based on model predictive control is proposed. Firstly, the predictive model, which aims at optimizing the weighted combination of frequency deviation and VSG output with frequency change rate as the constraint is established. Then, the systematic control strategy is designed according to physical quantities, such as frequency, VSG output voltage and current, the increment of active power needed is calculated for changing the power reference of VSG. Meanwhile, the solution of the predictive model is given, and the convergence of the algorithm is analyzed, which provides the basis for selecting key parameters. The correctness and effectiveness of the proposed control strategy are verified by the simulation results of two typical cases.
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