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Voltage Stability Enhancement for Iraqi (400 kV) Super High Voltage Grid System based on Cat Swarm Optimization Algorithm

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Firas M. Tuaimah, Massara Gala Yahya
10.5120/ijca2016907484

Firas M Tuaimah and Massara Gala Yahya. Article: Voltage Stability Enhancement for Iraqi (400 kV) Super High Voltage Grid System based on Cat Swarm Optimization Algorithm. International Journal of Computer Applications 134(16):7-11, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Firas M. Tuaimah and Massara Gala Yahya},
	title = {Article: Voltage Stability Enhancement for Iraqi (400 kV) Super High Voltage Grid System based on Cat Swarm Optimization Algorithm},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {134},
	number = {16},
	pages = {7-11},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Voltage stability is the ability of a power system to maintain acceptable voltages at all nodes in the system under normal condition and after being subject to a disturbance which has a closely relationship with the reactive power of the system. This paper presents an algorithm for solving the voltage stability and Reactive Power Dispatch problem in a power system. The Cat Swarm Optimization algorithm employs for optimal settings of Reactive Power Dispatch control variables. Cat Swarm Optimization algorithm is applied on Iraqi Super High Voltage grid system and the results are compared with Particle Swarm Optimization algorithm. As a result, the proposed method was shown to be the best for solving Optimal Reactive Power Dispatch problem and hence the voltage stability enhancement

References

  1. Suryakumari, P., and Kantarao, P., 2013, Voltage Stability Enhancement Using Cat Swarm Optimization Algorithm, International Journal of Electrical, Computer, Electronics and Communication Engineering, Vol. 7, No. 11, PP. 1051-1057.
  2. Pathak S. and Vaidya, B.N. 2012 Optimal Power Flow by Particle Swarm Optimization for Reactive Loss Minimization, Vol. 1,PP. 1-6.
  3. Kumar, G. N., Kalavathi, M. S., and Krishna, R. H., 2012, Opimal Placement of SVC and STATCOM for Voltage Stability Enhancement Under Contingency Using Cat Swarm Optimization, International Journal of Advances in Engineering and Technology, Vol. 5, PP. 436-447.
  4. Suganyadevi, M.V. and Babulal, C.K. 2009 Estimating of Loading Margin of a Power System by Comparing Voltage Stability Indices, International conference on "control, automation, communication and energy".
  5. Goharrizi, A.Y. and asghari, R. 2007 A Novel Line Stability Index (NLSI) For Voltage Stability Assessment of Power Systems.
  6. Mallaiah, B., and Reddy, P. R., 2013, Voltage Stability Enhancement through Optimization Techniqes, ITSI Transactions on Electrical and Electronics Engineering, Vol. 1, PP. 1-6.
  7. Shrawane, S. S., Diagavane, M., and Bawane, N., 2015, Optimal Reactive Power Dispatch by Furnishing UPFC Using Multi-Objective Hybrid GAPSO Approach for Transmission Loss Minimisation and Voltage Stability, International Conference on Nascent Technologies in the Engineering Field, IEEE.
  8. Suryakumari, P., and Kantarao, P., 2013, Voltage Stability Enhancement Using Cat Swarm Optimization Algorithm, International Journal of Electrical, Computer, Electronics and Communication Engineering, Vol. 7, No. 11, PP. 1051-1057.

Keywords

ORPD problem, voltage stability enhancement, PSO, and CSO.