Access the full text.
Sign up today, get DeepDyve free for 14 days.
P. Georgilakis, N. Hatziargyriou (2019)
Unified power flow controllers in smart power systems: models, methods, and future researchIET Smart Grid
K. Balamurugan, K. Muthukumar (2018)
Differential Evolution algorithm for contingency analysis-based optimal location of FACTS controllers in deregulated electricity marketSoft Computing, 23
A. Kalair, N. Abas, A. Kalair, Z. Saleem, N. Khan (2017)
Review of harmonic analysis, modeling and mitigation techniquesRenewable & Sustainable Energy Reviews, 78
Dengfeng Wang, Kefang Cai (2018)
Multi-objective crashworthiness optimization of vehicle body using particle swarm algorithm coupled with bacterial foraging algorithmProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 232
M. Fadaee, M. Radzi (2012)
Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A reviewRenewable & Sustainable Energy Reviews, 16
G. Kumar, M. Kalavathi (2014)
Cat Swarm Optimization for optimal placement of multiple UPFC’s in voltage stability enhancement under contingencyInternational Journal of Electrical Power & Energy Systems, 57
JaganMohanRaju Tokachichu, Tulasi Gaddam (2021)
Performance analysis of a transmission line connected with UPFC designed with three level cascaded H bridge inverter with generalized SVM technique using PI, FUZZY LOGIC, ANN and ANFIS controllersMaterials Today: Proceedings
S. Inkollu, Venkata Kota (2016)
Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithmEngineering Science and Technology, an International Journal, 19
M. Saravanan, S. Slochanal, P. Venkatesh, J. Abraham (2007)
Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadabilityElectric Power Systems Research, 77
A. Jordehi (2015)
Optimisation of electric distribution systems: A reviewRenewable & Sustainable Energy Reviews, 51
S. Alamelu, S. Baskar, C. Babulal, S. Jeyadevi (2015)
Optimal siting and sizing of UPFC using evolutionary algorithmsInternational Journal of Electrical Power & Energy Systems, 69
S. Taher, Muhammad Amooshahi (2012)
New approach for optimal UPFC placement using hybrid immune algorithm in electric power systemsInternational Journal of Electrical Power & Energy Systems, 43
K. Kavitha, R. Neela (2018)
Optimal allocation of multi-type FACTS devices and its effect in enhancing system security using BBO, WIPSO & PSOJournal of Electrical Systems and Information Technology
S. Taher, Muhammad Amooshahi (2011)
Optimal placement of UPFC in power systems using immune algorithmSimul. Model. Pract. Theory, 19
Shoaib Kamal, F. Sayeed, T. Ahanger, Chatti Subbalakshmi, R. Kalidoss, Nilu Singh, S. Nuagah (2022)
Particle Swarm Optimization and Modular Multilevel Converter Communication in Electrical Applications with Machine Learning AlgorithmComputational Intelligence and Neuroscience, 2022
T. Kang, Jian-gang Yao, T. Duong, Shengjie Yang, Xiangqian Zhu (2017)
A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) DevicesEnergies, 10
B. Kumar, N. Srikanth (2017)
A hybrid approach for optimal location and capacity of UPFC to improve the dynamic stability of the power systemAppl. Soft Comput., 52
Ahmed Nasser, Hasanain Adnan (2018)
A Literature Review on the Unified Power Flow Controller UPFCInternational Journal of Computer Applications
AbstractUPFC 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.
Kerntechnik – de Gruyter
Published: Dec 1, 2022
Keywords: algorithms and techniques; objective functions; optimal placements; UPFC device
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.