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Determination of DG Allocation for Minimizing Annual Grid Energy Transaction

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Soft Computing for Problem Solving

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

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Abstract

The integration of distributed generation (DG) units in power distribution network has become progressively imperative in recent years. The main goal of this paper is to decide the optimal number, size and location of DG units to reduce annual grid energy transaction. An optimal DG placement (ODGP) denotes obtaining the best possible location of the DG along with its size on the transmission line without causing any disturbance to the system. Optimal integration of DG in distribution grid is one of the important and effective options. Optimal allocation with a suitable sizing of DG units plays an efficient role in terms of improving voltage profile and power quality, reduce flows and system losses. The implemented technique is based on particle swarm optimization (PSO) for optimal allocation of DG unit in power systems. The proposed algorithm has been tested on IEEE 33 bus standard radial distribution system (DS) in MATLAB programming environment.

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Acknowledgements

The second author (S.L.) gratefully acknowledges Science and Engineering Research Board, DST, Government of India, for the fellowship (PDF/2016/000008).

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Authors and Affiliations

  1. Department of Electrical Engineering, Rajasthan Technical University, Kota, India

    Gulnar Niazi & Mahendra Lalwani

  2. Department of Computer Science & Engineering, Rajasthan Technical University, Kota, India

    Soniya Lalwani

Authors
  1. Gulnar Niazi
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  2. Soniya Lalwani
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  3. Mahendra Lalwani
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Corresponding author

Correspondence to Mahendra Lalwani .

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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Niazi, G., Lalwani, S., Lalwani, M. (2019). Determination of DG Allocation for Minimizing Annual Grid Energy Transaction. 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_77

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