Optimal Scheduling for Electric Vehicles in a Power System with Distributed Photovoltaic Systems

Author(s):  
Xunyuan Liu ◽  
Yuan Li ◽  
Fushuan Wen ◽  
Bo Zou ◽  
Xizhu Zhang ◽  
...  
2022 ◽  
Vol 8 ◽  
pp. 1414-1422
Author(s):  
Jiawei Feng ◽  
Junyou Yang ◽  
Haixin Wang ◽  
Kang Wang ◽  
Huichao Ji ◽  
...  

2014 ◽  
Vol 47 (3) ◽  
pp. 8594-8603 ◽  
Author(s):  
Zhile Yang ◽  
Kang Li ◽  
Aoife Foley ◽  
Cheng Zhang

2021 ◽  
Vol 13 (4) ◽  
pp. 2169
Author(s):  
Xing Chen ◽  
Suhua Lou ◽  
Yanjie Liang ◽  
Yaowu Wu ◽  
Xianglu He

The regional power system is an essential mechanism to solve the unbalanced distribution of resources and achieve more efficient resource allocation. In this paper, an optimal scheduling model of the regional power system is developed, to maximize social welfare and minimize clean energy electricity curtailment. This model can realize the optimal allocation of power generation resources and the maximum accommodation of multiple types of clean energy, by minimizing the sum of the electricity purchase cost and the dynamic penalty cost of clean energy. Meanwhile, it considers the modeling of the key AC/DC hybrid tie-line in the regional power grid. To this end, the modeling methods of power transmitted by AC/DC tie-line, the net loss of the tie-line, the stair-like operation of the DC tie-line power, the operation constraints of the DC tie-line are proposed. Then a simulation example study is conducted to verify the effectiveness of the model, which proves that the regional power system can stimulate the resource optimization potential better than the provincial power system.


2011 ◽  
Vol 383-390 ◽  
pp. 4151-4157
Author(s):  
Wen Qi Tian ◽  
Jing Han He ◽  
Jiu Chun Jiang ◽  
Cheng Gang Du

With the increase of new energy power generation, the requirement of smart grid and the popularity of electric vehicles, the research focus on V2G. With Electric vehicles being distributed energy storage or distributed generation, peak regulation in power system is involved in important functions of V2G. In order to achieve peak regulation function, the paper has analyzed the control relationship between the electric vehicles, V2G station and electric vehicle charge\ discharge control center, presented charge and discharge control strategy based on the two levels of electric vehicle charge\discharging control center and V2G station control layer and introduced algorithms and examples to achieve these strategies.


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