A review on optimal UPFC device placement in electric power systems

被引:2
|
作者
Ammar, Yasser M. [1 ]
Elbaset, Adel A. [2 ,3 ]
Adail, Ahmed S. [4 ]
Araby, Sayed E. L. [5 ]
Saleh, Alaa A. [1 ]
机构
[1] Egyptian Atom Energy Author EAEA, Egypt Res Reactor ETRR 2 2, Cairo, Egypt
[2] Minia Univ, Fac Engn, Elect Engn Dept, El Minia, Egypt
[3] Heliopolis Univ, Fac Engn, Dept Electro Mech Engn, Cairo, Egypt
[4] Egyptian Atom Energy Author EAEA, Hot Lab Ctr, Cairo, Egypt
[5] Egyptian Atom Energy Author EAEA, Reactors Dept, Cairo, Egypt
关键词
algorithms and techniques; objective functions; optimal placements; UPFC device; VOLTAGE STABILITY ENHANCEMENT; OPTIMAL LOCATION; FACTS DEVICES; SWARM OPTIMIZATION; OPTIMAL ALLOCATION; FLOW CONTROLLERS; ALGORITHM;
D O I
10.1515/kern-2022-0063
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
UPFC device is discussed in this paper along with their models and functions. Moreover, the suggested and the complementally approaches in the current research study. As a result, the methods are divided into three divisions, which are sensitivity analysis based methods, conventional optimization based methods and artificial intelligence (AI) based methods. In addition, artificial intelligence based methods plays a major role in reducing the search space region. However, to optimize the resulting benefits, the placement, sizing and parameter of UPFC device should be determined. This paper presents and discusses in depth an overall review of the last two decades' studies, including proposed and comparative methods and strategies, approaches, objective functions, UPFC device tools utilized, limitations, contingency situations and all parameters evaluated and simulated. This paper also provides an analysis of UPFC's various benefits and uses of power flow studies, such as, power loss mitigation, system load ability improvement, power system security, enhancement of voltage stability, cost of generation and UPFC installation and utilizing specific optimization techniques. Therefore, a more weighted overview of the proposed method is presented focused on artificial intelligence optimization methods.
引用
收藏
页码:661 / 671
页数:11
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