A review on optimal UPFC device placement in electric power systems

Author:

Ammar Yasser M.1,Elbaset Adel A.23,Adail Ahmed S.4,Araby Sayed E.L.5,Saleh Alaa A.1

Affiliation:

1. Egypt Second Research Reactor (ETRR-2), Egyptian Atomic Energy Authority (EAEA) , Cairo , Egypt

2. Electrical Engineering Department , Faculty of Engineering, Minia University , El-Minia , Egypt

3. Department of Electro Mechanics Engineering , Faculty of Engineering, Heliopolis University , Cairo , Egypt

4. Hot Lab Center, Egyptian Atomic Energy Authority (EAEA) , Cairo , Egypt

5. Reactors Department , Egyptian Atomic Energy Authority (EAEA) , Cairo , Egypt

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

Safety, Risk, Reliability and Quality,General Materials Science,Nuclear Energy and Engineering,Nuclear and High Energy Physics,Radiation

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Intelligent Algorithms for Estimating Multistep Process Capability in the Industrial Field;Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications;2023-11-18

2. A Review on Optimization Objectives for Power System Operation Improvement Using FACTS Devices;Energies;2022-12-23

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