Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller

Ngang Bassey Ngang; Bakare Kazeem

doi:doi:10.11648/j.epes.20211003.12

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Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller

Ngang Bassey Ngang, Bakare Kazeem

Published in American Journal of Electrical Power and Energy Systems (Volume 10, Issue 3)

Received: 3 May 2021 Accepted: 20 May 2021 Published: 27 May 2021

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Abstract

The frequency instability observed in the power transmission network was mainly as a result of the per unit volts not falling within 0.95 through 1.05 P.U, volts. This has caused constant power failure in our transmission net work. This sad situation of power failure noticed in the power transmission network is contained by introducing an improvement in frequency stability of the Nigerian 330kV transmission network using fuzzy controller. It was achieved by first characterizing the 330kv transmission network by running load flow on the network, designing conventional SIMULINK model for improving frequency stability of the Nigerian 330kv transmission network, designing a rule base that makes these faulty buses to attain stability, integrating the designed rule to the conventional SIMULINK model for improving frequency stability of the Nigerian 330kv transmission network. The results obtained are conventional bus 1 per unit volts at 4s through 10s is 0.94. On the other hand, when fuzzy controller is incorporated in the system it is 1.043P.U volts. This shows that there is frequency stability when fuzzy controller is incorporated in the system since the per unit volts fall within the range of 0.95 through 1.05 P.U. volt and conventional per unit volts is 0.944 which makes the frequency unstable since the volts does not attain stability. Meanwhile, when fuzzy controller is incorporated in the system the per unit volts is 1.047. With these results, it shows that there is frequency stability when fuzzy controller is imbibed in the system. Since the per unit volt fall within the stability range of 0.95 through 1.05P.U. Volts.

Published in	American Journal of Electrical Power and Energy Systems (Volume 10, Issue 3)
DOI	10.11648/j.epes.20211003.12
Page(s)	43-50
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Improving, Frequency Stability, 330KV Transmission Network, Fuzzy Controller

References

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[2]	Olaiga, B. O. and Olulope, P. K. (2019). ‘Voltage Stability in Nigeria Power Grid.’ A detailed Literature Review, Vol. 2 issu-1, Pp 1-10.
[3]	Nkan, I. E., Okoro, O. I., Awali, C. C. and Akuru, U. B. (2019). ‘Investigating the Dynamic Stability of the Nigeria 48-Bus system using FACTs Devices’. Vol. 38, No. 3, Pp 732-743.
[4]	Okakwu, I. K., Alayande, A. S., Agbontaen, F. O. and Ade-Ikuesan, O. O. (2019). ‘Comparative Study of TCSC and R-SFCL for Transient Stability Enhancement of the Nigeria 330kv Transmission Network’. Vol. 5, No. 3 Pp 161-174.
[5]	Egido, T., Sigrist, L., Lobato, E. and Rouco, L. (2015). ‘Energy Storage systems for Frequency Enhancement in Small-Isolated Power Syatem’. Vol. 1, No. 13, Pp 820-825.
[6]	Barath, T. and Regupathic, M. (2015). ‘Super Capacitor Based Power Conditioning System for Power Quality Improvement in Industries.’ Vol. 4, ISSN. 2278-0181 Pp 64-650.
[7]	Okwe. G. I., Akwukwaegbu, I. O., Uneze, I. M., Nwaogwugwu, and Nnanyereugo, C. (2015). ‘Voltage Stability Improvement of Power Transmission System in Nigeria using TCSC’. Vol. No. 1, Pp 1-15.
[8]	Mathew, S., Wara, S. T., Adejumobi, A., Ajisegiri, E. S. A. and Olanipekun, A. J. (2014). ‘Power System’s voltage Stability Improvement using Static Varcompensator., Vol. 4., ISSUE 1. PP 494-501.
[9]	Bashar, S. A. and Chin, K. G (2016). ‘Power System Frequency Stability and Control’: Survey. Vol. 11, No. 8, Pp 5688-5695.
[10]	Md Salah, E. S., Mahmud-UI-Tarik, C. and MdJanatul, F. (2017). ‘An overview of Frequency Control as a Criteria of Power System Reliability and International survey of Determining Operating Reserve’. Vol. 3, No. 5, Pp 101-114.
[11]	Jag, P. and Pardeep, N. (2018). ‘A survey on Load Frequency Control (LFC) Problem in Hybrid Power System’. Vol. 4, Issue 8, PP 229-234.
[12]	Braide, S. L. and Diema, E. J. (2018). Analysis of Steady and Transients-state Stability of Transmission Network.’Vol. 6, No. 5, ISSN 2309-2405.
[13]	Akinloye, B. O. Osherire, P. O. and Epemu, A. M. (2018). ‘Optimized Coordinated control of LFC and SMES to enhance Frequency Stability of a real Multi-source Power System Considering high renewable energy penetration’. Vol. 3, No. 39, Pp 1-15.
[14]	Zeyad, A. O., Liena, M. C, Lahieb, A., Mazin, T. M. (2019). ‘Frequency Control of future power system, Reviewing and Evaluating Challenges and New Methods’. Vol. 7, No. 1, PP 9-25.
[15]	Reza, K. G., Mohammad, R. A. and Mohsen, F. C. (2017). ‘Control Strategies for Enhancing Stability by DFIFs in a Power System with High percentage of Wind Power Penetration’. Vol., No. 1140, Pp 1-15.

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Ngang Bassey Ngang, Bakare Kazeem. (2021). Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller. American Journal of Electrical Power and Energy Systems, 10(3), 43-50. https://doi.org/10.11648/j.epes.20211003.12

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ACS Style

Ngang Bassey Ngang; Bakare Kazeem. Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller. Am. J. Electr. Power Energy Syst. 2021, 10(3), 43-50. doi: 10.11648/j.epes.20211003.12

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AMA Style

Ngang Bassey Ngang, Bakare Kazeem. Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller. Am J Electr Power Energy Syst. 2021;10(3):43-50. doi: 10.11648/j.epes.20211003.12

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@article{10.11648/j.epes.20211003.12,
  author = {Ngang Bassey Ngang and Bakare Kazeem},
  title = {Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {10},
  number = {3},
  pages = {43-50},
  doi = {10.11648/j.epes.20211003.12},
  url = {https://doi.org/10.11648/j.epes.20211003.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20211003.12},
  abstract = {The frequency instability observed in the power transmission network was mainly as a result of the per unit volts not falling within 0.95 through 1.05 P.U, volts. This has caused constant power failure in our transmission net work. This sad situation of power failure noticed in the power transmission network is contained by introducing an improvement in frequency stability of the Nigerian 330kV transmission network using fuzzy controller. It was achieved by first characterizing the 330kv transmission network by running load flow on the network, designing conventional SIMULINK model for improving frequency stability of the Nigerian 330kv transmission network, designing a rule base that makes these faulty buses to attain stability, integrating the designed rule to the conventional SIMULINK model for improving frequency stability of the Nigerian 330kv transmission network. The results obtained are conventional bus 1 per unit volts at 4s through 10s is 0.94. On the other hand, when fuzzy controller is incorporated in the system it is 1.043P.U volts. This shows that there is frequency stability when fuzzy controller is incorporated in the system since the per unit volts fall within the range of 0.95 through 1.05 P.U. volt and conventional per unit volts is 0.944 which makes the frequency unstable since the volts does not attain stability. Meanwhile, when fuzzy controller is incorporated in the system the per unit volts is 1.047. With these results, it shows that there is frequency stability when fuzzy controller is imbibed in the system. Since the per unit volt fall within the stability range of 0.95 through 1.05P.U. Volts.},
 year = {2021}
}

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TY - JOUR
T1 - Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller
AU - Ngang Bassey Ngang
AU - Bakare Kazeem
Y1 - 2021/05/27
PY - 2021
N1 - https://doi.org/10.11648/j.epes.20211003.12
DO - 10.11648/j.epes.20211003.12
T2 - American Journal of Electrical Power and Energy Systems
JF - American Journal of Electrical Power and Energy Systems
JO - American Journal of Electrical Power and Energy Systems
SP - 43
EP - 50
PB - Science Publishing Group
SN - 2326-9200
UR - https://doi.org/10.11648/j.epes.20211003.12
AB - The frequency instability observed in the power transmission network was mainly as a result of the per unit volts not falling within 0.95 through 1.05 P.U, volts. This has caused constant power failure in our transmission net work. This sad situation of power failure noticed in the power transmission network is contained by introducing an improvement in frequency stability of the Nigerian 330kV transmission network using fuzzy controller. It was achieved by first characterizing the 330kv transmission network by running load flow on the network, designing conventional SIMULINK model for improving frequency stability of the Nigerian 330kv transmission network, designing a rule base that makes these faulty buses to attain stability, integrating the designed rule to the conventional SIMULINK model for improving frequency stability of the Nigerian 330kv transmission network. The results obtained are conventional bus 1 per unit volts at 4s through 10s is 0.94. On the other hand, when fuzzy controller is incorporated in the system it is 1.043P.U volts. This shows that there is frequency stability when fuzzy controller is incorporated in the system since the per unit volts fall within the range of 0.95 through 1.05 P.U. volt and conventional per unit volts is 0.944 which makes the frequency unstable since the volts does not attain stability. Meanwhile, when fuzzy controller is incorporated in the system the per unit volts is 1.047. With these results, it shows that there is frequency stability when fuzzy controller is imbibed in the system. Since the per unit volt fall within the stability range of 0.95 through 1.05P.U. Volts.
VL - 10
IS - 3
ER -

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Author Information

Ngang Bassey Ngang

Department of Electrical and Electronic Engineering, Faculty of Engineering, Enugu State University of Science and Technology (ESUT), Enugu, Nigeria
Bakare Kazeem

Department of Electrical and Electronic Engineering, Faculty of Engineering, Enugu State University of Science and Technology (ESUT), Enugu, Nigeria

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APA Style

Ngang Bassey Ngang, Bakare Kazeem. (2021). Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller. American Journal of Electrical Power and Energy Systems, 10(3), 43-50. https://doi.org/10.11648/j.epes.20211003.12

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ACS Style

Ngang Bassey Ngang; Bakare Kazeem. Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller. Am. J. Electr. Power Energy Syst. 2021, 10(3), 43-50. doi: 10.11648/j.epes.20211003.12

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AMA Style

Ngang Bassey Ngang, Bakare Kazeem. Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller. Am J Electr Power Energy Syst. 2021;10(3):43-50. doi: 10.11648/j.epes.20211003.12

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@article{10.11648/j.epes.20211003.12,
  author = {Ngang Bassey Ngang and Bakare Kazeem},
  title = {Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {10},
  number = {3},
  pages = {43-50},
  doi = {10.11648/j.epes.20211003.12},
  url = {https://doi.org/10.11648/j.epes.20211003.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20211003.12},
  abstract = {The frequency instability observed in the power transmission network was mainly as a result of the per unit volts not falling within 0.95 through 1.05 P.U, volts. This has caused constant power failure in our transmission net work. This sad situation of power failure noticed in the power transmission network is contained by introducing an improvement in frequency stability of the Nigerian 330kV transmission network using fuzzy controller. It was achieved by first characterizing the 330kv transmission network by running load flow on the network, designing conventional SIMULINK model for improving frequency stability of the Nigerian 330kv transmission network, designing a rule base that makes these faulty buses to attain stability, integrating the designed rule to the conventional SIMULINK model for improving frequency stability of the Nigerian 330kv transmission network. The results obtained are conventional bus 1 per unit volts at 4s through 10s is 0.94. On the other hand, when fuzzy controller is incorporated in the system it is 1.043P.U volts. This shows that there is frequency stability when fuzzy controller is incorporated in the system since the per unit volts fall within the range of 0.95 through 1.05 P.U. volt and conventional per unit volts is 0.944 which makes the frequency unstable since the volts does not attain stability. Meanwhile, when fuzzy controller is incorporated in the system the per unit volts is 1.047. With these results, it shows that there is frequency stability when fuzzy controller is imbibed in the system. Since the per unit volt fall within the stability range of 0.95 through 1.05P.U. Volts.},
 year = {2021}
}

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