E-ISSN 2683-5961 | ISSN 2354-1814
 

Research Article

Online Publishing Date:
10 / 09 / 2020

 


Critical Node Detection for Voltage Collapse Mitigation in Modern Power Systems: A Network Topological-Based Approach

Abduulfatai Ibrahim, Akintunde Samson Alayande, Olakunle Elijah Olabode, Musediq Adedoyin Sulaiman, Ignatius Kema Okakwu, Ajibola Oluwafemi Oyedeji.


Abstract
Quick detection of critical nodes has become a great concern to most investors and utilities recently due to its influence on prevention of the frequent occurrence of voltage collapse within a power network. This paper, therefore presents an option for detecting critical nodes, an approach which is based on the network topological characteristics of power networks. The mathematical formulations of the approach from the basic circuit theory laws were revisited. A Normalized Eigenvalue (NEV) index using eigenvalue and eigenvector analyses was then developed using MATLAB 2019b as the simulation tool. A simple 10-bus network was used to test the effectiveness of the NEV index method suggested in this paper. The NEV for all the network buses was determined and ranked in decreasing value of NEV to measure the criticality and vulnerability of each load node to voltage collapse within the system. Buses 6 had the highest value of NEV index (1.00) while bus 4 had the lowest NEV index (0.00) value. This suggested that there is a possibility of occurrence of over-voltage at bus 6 and under-voltage at bus 4. Therefore, buses 4 and 6 were identified as the critical buses, where placement of the reactive power support will be most beneficial. The results obtained were compared with those obtained using other methods documented in the literature. The comparison showed the effectiveness of the approach in quick identification of critical parts of the network most especially during critical outages.

Key words: FACTs Devices; Voltage Collapse; Compensation; Instability; Optimization


 
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How to Cite this Article
Pubmed Style

Ibrahim A, Alayande AS, Olabode OE, Sulaiman MA, Okakwu IK, Oyedeji AO. Critical Node Detection for Voltage Collapse Mitigation in Modern Power Systems: A Network Topological-Based Approach. Equijost. 2020; 7(2): 1-8.


Web Style

Ibrahim A, Alayande AS, Olabode OE, Sulaiman MA, Okakwu IK, Oyedeji AO. Critical Node Detection for Voltage Collapse Mitigation in Modern Power Systems: A Network Topological-Based Approach. https://www.equijost.com/?mno=97903 [Access: March 04, 2024].


AMA (American Medical Association) Style

Ibrahim A, Alayande AS, Olabode OE, Sulaiman MA, Okakwu IK, Oyedeji AO. Critical Node Detection for Voltage Collapse Mitigation in Modern Power Systems: A Network Topological-Based Approach. Equijost. 2020; 7(2): 1-8.



Vancouver/ICMJE Style

Ibrahim A, Alayande AS, Olabode OE, Sulaiman MA, Okakwu IK, Oyedeji AO. Critical Node Detection for Voltage Collapse Mitigation in Modern Power Systems: A Network Topological-Based Approach. Equijost. (2020), [cited March 04, 2024]; 7(2): 1-8.



Harvard Style

Ibrahim, A., Alayande, . A. S., Olabode, . O. E., Sulaiman, . M. A., Okakwu, . I. K. & Oyedeji, . A. O. (2020) Critical Node Detection for Voltage Collapse Mitigation in Modern Power Systems: A Network Topological-Based Approach. Equijost, 7 (2), 1-8.



Turabian Style

Ibrahim, Abduulfatai, Akintunde Samson Alayande, Olakunle Elijah Olabode, Musediq Adedoyin Sulaiman, Ignatius Kema Okakwu, and Ajibola Oluwafemi Oyedeji. 2020. Critical Node Detection for Voltage Collapse Mitigation in Modern Power Systems: A Network Topological-Based Approach. Equity Journal of Science and Technology, 7 (2), 1-8.



Chicago Style

Ibrahim, Abduulfatai, Akintunde Samson Alayande, Olakunle Elijah Olabode, Musediq Adedoyin Sulaiman, Ignatius Kema Okakwu, and Ajibola Oluwafemi Oyedeji. "Critical Node Detection for Voltage Collapse Mitigation in Modern Power Systems: A Network Topological-Based Approach." Equity Journal of Science and Technology 7 (2020), 1-8.



MLA (The Modern Language Association) Style

Ibrahim, Abduulfatai, Akintunde Samson Alayande, Olakunle Elijah Olabode, Musediq Adedoyin Sulaiman, Ignatius Kema Okakwu, and Ajibola Oluwafemi Oyedeji. "Critical Node Detection for Voltage Collapse Mitigation in Modern Power Systems: A Network Topological-Based Approach." Equity Journal of Science and Technology 7.2 (2020), 1-8. Print.



APA (American Psychological Association) Style

Ibrahim, A., Alayande, . A. S., Olabode, . O. E., Sulaiman, . M. A., Okakwu, . I. K. & Oyedeji, . A. O. (2020) Critical Node Detection for Voltage Collapse Mitigation in Modern Power Systems: A Network Topological-Based Approach. Equity Journal of Science and Technology, 7 (2), 1-8.





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