An improved droop control strategy of energy storage system for unbalanced load in micro-grid

2016 ◽  
Author(s):  
Jinhang Hu ◽  
Qiong Tao ◽  
Bingyu Sang ◽  
Pingliang Zeng ◽  
Yu Zhang
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Droop Control ◽  
Unbalanced Load ◽  
Micro Grid

Control Strategy of Wind Photovoltaic and Energy Storage System Stability Running

2013 ◽  
Vol 336-338 ◽  
pp. 547-550
Author(s):  
Ji Hong Zhang ◽  
Zhen Kui Wu ◽  
Hua Li ◽  
Han Shan Li
Keyword(s):  
Energy Storage ◽  
Distributed Generation ◽  
Control Strategy ◽  
Control Method ◽  
Storage System ◽  
Energy Storage System ◽  
System Stability ◽  
Mathematics Model ◽  
Generation Efficiency ◽  
Micro Grid

Micro grid may exert adequately distributed generation efficiency, and that wind Photovoltaic and Energy Storage is a key equipment in the micro grid. Aiming at the distributed generation existing intermittence and randomicity characteristic, the paper discussed the micro grid P/Q control method under the connection grid state and the micro grid U/F control method under the disconnection grid state. It also studied the distributed generation parameters variational law under the micro grid different run mode, and built the correlative mathematics model and tested by simulation. The results show: the control strategy ensured the mice grid running stably, and achieved the system anticipative design request, and offered theory foundation for the distributed generation extend application.

scholarly journals Adaptive Control Strategy of Energy Storage System Participating in Primary Frequency Regulation

Processes ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 687
Author(s):  
Chaoxiong Fang ◽  
Yuchen Tang ◽  
Rong Ye ◽  
Zhangsui Lin ◽  
Zhenshan Zhu ◽  
...  
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Frequency Regulation ◽  
Droop Control ◽  
Inertial Control ◽  
Adaptive Control Strategy ◽  
Inertia Control ◽  
Primary Frequency

In order to solve the capacity shortage problem in power system frequency regulation caused by large-scale integration of renewable energy, the battery energy storage-assisted frequency regulation is introduced. In this paper, an adaptive control strategy for primary frequency regulation of the energy storage system (ESS) was proposed. The control strategy combined virtual droop control, virtual inertial control, and virtual negative inertial control. The virtual inertial control was used to reduce the frequency change rate, and the virtual droop control was used to reduce the steady-state frequency deviation. The virtual droop control and the virtual inertia control were adopted in the frequency deterioration stage to slow down the frequency drop. While in the frequency recovery stage, the virtual negative inertia control worked together with the virtual droop control to accelerate the frequency recovery. Besides, the coefficients of the control methods were related to the state of charge (SOC) of ESS to avoid over-charging and over-discharging of the battery. Finally, a simulation model was built in MATLAB/SIMULINK, and case studies were conducted to verify the proposed control strategy. Results showed that the proposed method could meet the demand for frequency regulation and was beneficial to the cycle life of ESS.

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