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Transmission Congestion Relief with Integration of Photovoltaic Power Using Lion Optimization Algorithm

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 816))

Abstract

Transmission congestion is a vital problem in a deregulated power system. This paper proposes a novel transmission congestion management approach considering photovoltaic (PV) power using lion optimization algorithm (LOA). The main contributions of this paper have twofolds. Initially, the values of bus sensitivity factor (BSF) and generator sensitivity factor (GSF) are, respectively, used to select the optimal bus to integrate PV power and to select the participating generators for congestion management. Finally, LOA is used to determine the active power rescheduling amount and congestion cost. Test results on modified 39 bus New England system indicate that the LOA approach could provide a less active power rescheduling amount and congestion cost with integration of PV power compared to particle swarm optimization (PSO) and ant lion optimizer (ALO) algorithm.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, Mizoram University, Aizawl, Mizoram, India

    Sadhan Gope

  2. Electrical Engineering Department, Siliguri Institute of Technology, Siliguri, West Bengal, India

    Subhojit Dawn

  3. Electrical Engineering Department, National Institute of Technology Silchar, Silchar, Assam, India

    Rituparna Mitra, Arup Kr. Goswami & Prashant Kr. Tiwari

Authors
  1. Sadhan Gope
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  2. Subhojit Dawn
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  3. Rituparna Mitra
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  4. Arup Kr. Goswami
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  5. Prashant Kr. Tiwari
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Corresponding author

Correspondence to Subhojit Dawn .

Editor information

Editors and Affiliations

  1. Department of Mathematics, South Asian University New Delhi , New Delhi, India

    Jagdish Chand Bansal

  2. Department of Mathematics, National Institute Of Technology Silchar Department of Mathematics, Silchar, Assam, India

    Kedar Nath Das

  3. Department of Mathematics and Computer Science, Faculty of Science, , Liverpool Hope University, Liverpool, UK

    Atulya Nagar

  4. Department of Mathematics, Indian Institute of Technology Roor Department of Mathematics, Roorkee, Uttarakhand, India

    Kusum Deep

  5. School of Basic Sciences, Indian Institute of Technology Bhubanesw School of Basic Sciences, Bhubaneswar, Odisha, India

    Akshay Kumar Ojha

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Gope, S., Dawn, S., Mitra, R., Goswami, A.K., Tiwari, P.K. (2019). Transmission Congestion Relief with Integration of Photovoltaic Power Using Lion Optimization Algorithm. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore. https://doi.org/10.1007/978-981-13-1592-3_25

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