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Optimal Demand-Side Bidding Using Evolutionary Algorithm in Deregulated Environment

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 436))

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Abstract

This paper presents an efficient and optimization proficiency for minimization of fuel cost and losses of an electrical system in a completely deregulated power system. Single-side bidding and double-side bidding both cases are considered in this paper with the help of sequential quadratic programming (SQP) and evolutionary algorithm like firefly algorithm (FA) and cuckoo search algorithm (CSA) for checking the effectiveness of the presented approach. Modified IEEE 14 bus test system and modified IEEE 30 bus test system are considered for validating and analyzing the impact of proposed approach.

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References

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Author information

Authors and Affiliations

  1. National Institute of Technology Silchar, Silchar, Assam, India

    Subhojit Dawn,  Sadhan Gope, Prashant Kumar Tiwari & Arup Kumar Goswami

Authors
  1. Subhojit Dawn
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  2. Sadhan Gope
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  3. Prashant Kumar Tiwari
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  4. Arup Kumar Goswami
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Corresponding author

Correspondence to Subhojit Dawn .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Chankyapuri, Rm 327, South Asian Univ, Akbar Bhawan, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

Appendix

Appendix

Parameters of firefly and cuckoo search algorithm:

Sl. no.

Firefly algorithm

Sl. no.

Cuckoo search algorithm

Parameter

Value

Parameter

Value

1

No of firefly

20

1

No of nest

25

2

Randomness

0.25

2

Discovery rate

0.25

3

Firefly attractiveness

0.20

3

No of iteration

300

4

Absorption co-efficient

1

 

5

No of iteration

300

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© 2016 Springer Science+Business Media Singapore

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Subhojit Dawn, Sadhan Gope, Tiwari, P.K., Goswami, A.K. (2016). Optimal Demand-Side Bidding Using Evolutionary Algorithm in Deregulated Environment. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_38

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  • DOI: https://doi.org/10.1007/978-981-10-0448-3_38

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0447-6

  • Online ISBN: 978-981-10-0448-3

  • eBook Packages: EngineeringEngineering (R0)

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