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A Computational Comparison of Swarm Optimization Techniques for Optimal Load Shedding under the presence of Unified Power Flow Controller to Avoid Voltage Instability

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  • B.Venkateswara Rao

    (Department of Electrical and Electronics Engineering, GITAM University, Visakhapatnam, India)

  • G.V.Nagesh Kumar

    (Department of Electrical and Electronics Engineering, GITAM University, Visakhapatnam, India)

Abstract

Voltage instability has become a serious threat to the operation of modern power systems. Load shedding is one of the effective countermeasures for avoiding instability. Improper load shedding may result in huge technical and economic losses. So, an optimal load shedding is to be carried out for supplying more demand. This paper implements BAT and Firefly algorithms for solving the optimal load shedding problem to identify the optimal amount of load to be shed. This is applied for a multi objective function which conatins minimization of amount of load to be sheded, active power loss minimization and voltage profile improvement. The presence of with and with out Unified Power Flow Controller (UPFC) on load shedding for IEEE 57 bus system has been presented and analyzed. The results obtained with BAT and Firefly Algorithms were compared with Genetic Algorithm (GA).

Suggested Citation

  • B.Venkateswara Rao & G.V.Nagesh Kumar, 2014. "A Computational Comparison of Swarm Optimization Techniques for Optimal Load Shedding under the presence of Unified Power Flow Controller to Avoid Voltage Instability," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 5(4), pages 17-32, October.
    • Handle: RePEc:igg:jsir00:v:5:y:2014:i:4:p:17-32
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    Cited by:

    1. Al-Sumaiti, Ameena Saad & Salama, Magdy M.A. & El-Moursi, Mohamed, 2017. "Enabling electricity access in developing countries: A probabilistic weather driven house based approach," Applied Energy, Elsevier, vol. 191(C), pages 531-548.

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