摘要
为了通过协调储能的方式促进新能源高效消纳及利用与平滑光伏并网冲击,提出了促进光储协调并网的模型预测控制(MPC)策略。将MPC理论融入光储并网逆变器控制策略中,利用储能充/放电双向功率控制与光伏协调互动。根据母线电压和实时功率变化建立逆变器与直流侧的协调策略,缓解储能系统稳定母线电压的压力,同时减少系统功率不平衡对电压的影响。在MATLAB\Simulink中建立电磁仿真模型,分别对采用MPC和比例积分微分(PID)控制后的电压波形进行对比。结果显示:光伏出力波动时,采用MPC后,电压控制的波动水平明显降低,电压控制超调量显著减小,且电压控制到达稳态的时间也有所减小;发生负荷突变时,相较于PID控制的效果,采用MPC后电压波动明显降低。
To smooth the impact of photovoltaic(PV)grid connection and promote the efficient consumption and utilization of new energy by coordinating energy storage and PV grid connection,a model predictive control(MPC)strategy is proposed to promote the coordinated grid connection of PV-storage.The MPC theory is integrated into the PV grid-connected inverter control strategy,and the two-way power control of energy storage charging/discharging is used to coordinate and interact with PVs.The coordination between the inverter and the DC side is established according to the bus voltage and real-time power changes,and the pressure of energy storage is relieved to stabilize the bus voltage and reduce the impact of system power imbalance on the voltage.The electromagnetic simulation model is established in MATLAB\Simulink,and the voltage waveforms after MPC and proportional integral differential(PID)control are compared.The results show that when PV output fluctuates,the fluctuation level of voltage control is significantly reduced,the overshoot of voltage control is significantly reduced,and the time of voltage control to steady state is also reduced after using MPC;in case of sudden load change,compared with the effect of PID control,the voltage fluctuation after MPC is significantly reduced.
作者
任萱
马骏毅
张大林
薛镕刚
Ren Xuan;Ma Junyi;Zhang Dalin;Xue Ronggang(Zhenjiang Power Supply Company,State Grid Jiangsu Electric Power Company,Zhenjiang 212001,China;School of Electrical Engineering,Southeast University,Nanjing 210096,China)
出处
《南京理工大学学报》
CAS
CSCD
北大核心
2022年第6期756-762,共7页
Journal of Nanjing University of Science and Technology
基金
国网江苏省电力有限公司科技项目(J2020014)。
关键词
光储
并网
模型预测控制
逆变器
储能充/放电
电磁仿真
比例积分微分控制
PV-storage
grid connection
model predictive control
inverters
energy storage charging/discharging
electromagnetic simulation
proportional integral differential control
