Optimal allocation of phase shifting transformer with uncertain wind power based on dynamic programming

被引：3
|
作者：
Fu, Kang [1 ]
Du, Zhaobin [1 ,2 ]
Li, Feng [3 ]
Li, Zuohong [3 ]
Xia, Chengjun [1 ,2 ]
机构：
[1] South China Univ Technol, Guangzhou, Peoples R China
[2] Guangdong Prov Key Lab Intelligent Operat & Contro, Guangzhou, Peoples R China
[3] Grid Planning & Res Ctr Guangdong Power Grid Corp, Guangzhou, Peoples R China
来源：
FRONTIERS IN ENERGY RESEARCH | 2023年 / 10卷
关键词：
phase shifting transformer; dynamic programming; optimal allocation; wind power uncertainty; non-dominated sorting genetic algorithm II; FACTS DEVICES; HIGH PENETRATION; OPTIMAL LOCATION; PLACEMENT; SELECTION; SYSTEMS;
D O I：
10.3389/fenrg.2022.1003315
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：
Phase Shifting Transformer (PST) can help improve the power flow distribution of the transmission section, which can increase the wind power consumption of the grid. In order to adapt the PST allocation to the grid evolution, this paper presents a dynamic programming method to allocate PST in each planning stage of the grid optimally. The optimal allocation model of PST under a single grid seeks to maximize the wind power consumption and the Total Transfer Capacity (TTC) between areas. A calculation method for TTC of grids containing PST and wind power is proposed. The Non-Dominated Sorting Genetic Algorithm II (NSGA2) is used to solve the Pareto sets under each planning stage of the grid. Then, the optimal planning path of PST is derived based on dynamic programming. The superiority of the proposed method is demonstrated by comparing the IEEE-118 system results of dynamic and static programming.
引用
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页数：14
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