Path Recovery Model for Power Systems With Renewable Energy Based on An Improved Node Weighting Method

被引:1
作者
Li, Yitong [1 ]
Zhang, Ruizhe [1 ]
Huo, Chao [2 ]
Lyu, Jia [1 ]
Liu, Jun [1 ]
Wei, Ping [3 ]
机构
[1] Xi An Jiao Tong Univ, Shaanxi Key Lab Smart Grid, Xian, Peoples R China
[2] State Grid Corp China, Northwest Branch, Xian, Peoples R China
[3] State Grid Gansu Elect Power Corp, Lanzhou, Peoples R China
来源
2020 INTERNATIONAL CONFERENCE ON SMART GRIDS AND ENERGY SYSTEMS (SGES 2020) | 2020年
关键词
Improved node weighting method; path recovery model; power system restoration; renewable energy; RESTORATION;
D O I
10.1109/SGES51519.2020.00050
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Regardless of the generation shedding of renewable energy in emergency control, or the system failure induced disconnection of renewable energy from the grid, the risk of large-scale renewable energy disconnection is increasing in modern power systems. The traditional path recovery models take less consideration of the characteristic of renewable energy, and cannot adapt well to the problem of system restoration containing renewable energy. In response to this, it is important to address the influcence of renewable enrgy during the path recovery process. Firstly, the traditional path recovery model is introduced. Then the influence of the access of renewable energy wind turbines on the system frequency is analyzed. With the goal of minimizing the recovery time of both renewable energy and conventional energy units, a new path recovery model for power systems containing renewable energy is proposed, based on improved node weighting method. Finally, an actual power system is used as an example to verify the effectiveness of the proposed model.
引用
收藏
页码:244 / 248
页数:5
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