Dynamic Reactive Power Optimization Strategy for AC/DC Hybrid Power Grid Considering Different Wind Power Penetration Levels

被引:1
|
作者
Feng, Nan [1 ]
Feng, Yuyao [1 ]
Su, Yun [1 ]
Zhang, Yajun [1 ]
Niu, Tao [2 ]
机构
[1] State Grid Shanghai Elect Power Co Ltd, Elect Power Res Inst, Shanghai 200437, Peoples R China
[2] Chongqing Univ, Elect Engn Dept, Chongqing 400044, Peoples R China
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Reactive power; Power system dynamics; Mathematical models; Transient analysis; Power system stability; Steady-state; Power grids; AC-DC power converters; Wind power generation; Whale optimization algorithms; Fault detection; AC/DC hybrid power grids; wind power; dynamic reactive power; fault recovery indicator; trajectory sensitivity method; whale optimization algorithm;
D O I
10.1109/ACCESS.2024.3392851
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the increasing capacity of wind power integration and the further development of AC/DC hybrid power grids, the problem of voltage stability in the receiving end has become increasingly severe. The installation of dynamic reactive power compensation devices is a feasible measure to improve the voltage stability of the receiving end power grid. This paper proposes a dynamic reactive power optimization strategy for AC/DC hybrid power grids considering the integration of new energy sources. Firstly, a detailed mathematical model of the AC/DC hybrid system is established. In order to enhance the voltage restoration capability after a fault, the definition of a fault recovery indicator is provided. Subsequently, an optimal scheduling strategy for dynamic reactive power compensation devices is formulated to maximize the value of the fault recovery indicator. Considering the nonlinearity and non-convexity of the optimization model, trajectory sensitivity method and whale optimization algorithm are adopted to enhance the solution efficiency. Finally, an improved IEEE-9 test system is employed to demonstrate the effectiveness and feasibility of the proposed approach.
引用
收藏
页码:187471 / 187482
页数:12
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