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Multi-objective Optimal Power Flow Using Whale Optimization Algorithm Consists of Static VAR Compensator

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Advances in Electrical and Computer Technologies (ICAECT 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 881))

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Abstract

In today’s world power consumption is increasing day by day, and therefore, demand for power is increasing which causes voltage instability, line overloading, congestion, and power system blackouts. Therefore, various sources in electrical networks are to be scheduled optimally to reduce cost and improve performance, for these intelligent optimization techniques are required. In this paper, whale optimization algorithm has been used to reduce the cost, emission, losses, and voltage stability by considering various multi-objectives. Additional to increase power system enactment static VAR compensator (SVC) has been incorporated into the system. In this paper, the IEEE 57 bus system has been used to analyze the effect of connected SVC on the improvement of system performance. Obtained results with whale optimization algorithms have been matched with other optimization methods available in the literature.

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Author information

Authors and Affiliations

  1. Department of EEE, VR Siddhartha Engineering College, Vijayawada, 520007, India

    G. Karthik Varma & Bathina Venkateswara Rao

Authors
  1. G. Karthik Varma
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  2. Bathina Venkateswara Rao
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Corresponding author

Correspondence to Bathina Venkateswara Rao .

Editor information

Editors and Affiliations

  1. Department of Electrical and Electronics Engineering, SVS College of Engineering, Coimbatore, India

    Thangaprakash Sengodan

  2. Department of Electronics and Communication Engineering, Kuwait College of Science and Technology, Safat, Kuwait

    M. Murugappan

  3. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

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Varma, G.K., Rao, B.V. (2022). Multi-objective Optimal Power Flow Using Whale Optimization Algorithm Consists of Static VAR Compensator. In: Sengodan, T., Murugappan, M., Misra, S. (eds) Advances in Electrical and Computer Technologies. ICAECT 2021. Lecture Notes in Electrical Engineering, vol 881. Springer, Singapore. https://doi.org/10.1007/978-981-19-1111-8_66

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  • DOI: https://doi.org/10.1007/978-981-19-1111-8_66

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1110-1

  • Online ISBN: 978-981-19-1111-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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