An optimization scheduling method of electric vehicle virtual energy storage to track planned output based on multiobjective optimization

2020 ◽  
Vol 44 (11) ◽  
pp. 8492-8512
Author(s):  
Xiaojuan Han ◽  
Dengxiang Liang ◽  
Hui Wang
Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8605
Author(s):  
Wen Wei ◽  
Yali Wang ◽  
Shuangfeng Dai ◽  
Changqing Chen ◽  
Lei Chen

energy storage (ES) only contributes to a single-scene (peak or frequency modulation (FM)) control of the power grid, resulting in low utilization rate and high economic cost. Herein, a coordinated control method of peak modulation and FM based on the state of ES under different time scales is proposed. Firstly, for monotone peak and FM control scenarios, the ES configuration and scheduling model is constructed with the goal of maximizing net profit. Secondly, to further improve the ES utilization rate and optimize the operating cost of ES, a cooperative control method of peak modulation and FM is proposed. This method can realize the switch between peak modulation and FM control of ES and improve the ES utilization rate and system economy. Finally, the simulation results show that, compared with that of mono-peak and single-FM control, the ES efficiency of the peak-FM multiscenario optimization scheduling method is improved by 16.25% and 37.29%, respectively. The annual net income is increased by €28,021.50, the investment recovery period is shortened by 0.27 years, and the ES configuration economy is effectively improved.


2021 ◽  
Vol 295 ◽  
pp. 117007
Author(s):  
Noah Horesh ◽  
Casey Quinn ◽  
Hongjie Wang ◽  
Regan Zane ◽  
Mike Ferry ◽  
...  

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