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International Conference on Machine Intelligence and Signal Processing

MISP 2019: Machine Intelligence and Signal Processing pp 185–200Cite as

Modified Flower Pollination Algorithm for Optimal Power Flow in Transmission Congestion

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1085))

Abstract

Artificial intelligence (AI) is an attractive and popular paradigm for providing any machine/system, the ability to carry out tasks in a ‘smart’ way. Population-based metaheuristics utilize the intelligence available in nature to search for optimal solutions of complex problems. Randomization prevents the search from being trapped at local optima. This paper presents a model based on recently developed modified flower pollination algorithm (MFPA) to solve the problem of transmission congestion management (CM) in competitive electricity market by real power rescheduling of generating units. The performance of the proposed algorithm is tested for single line outage, increased demand and variation in line power limits using modified IEEE 30 bus and IEEE 57 bus test systems. The results are compared with basic FPA, particle swarm optimization (PSO), random search method (RSM) and simulated annealing (SA).

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Acknowledgements

The authors acknowledge the financial support provided by AICTE New Delhi, India under the RPS research grant entitled “Addressing Power System Operational Challenges with Renewable Energy Resources Using Nature Inspired Optimization Techniques” sanctioned vide File No. 8-36/RIFD/RPS/POLICY-1/2016-17 dated August 2, 2017. The facilities and support provided by the Director and management of M.I.T.S Gwalior, India for carrying out this work are also sincerely acknowledged.

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Authors and Affiliations

  1. Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India

    Rupali Parmar, Sulochana Wadhwani & Manjaree Pandit

Authors
  1. Rupali Parmar
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  2. Sulochana Wadhwani
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  3. Manjaree Pandit
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Corresponding author

Correspondence to Rupali Parmar .

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Editors and Affiliations

  1. Department of Information Technology, Indian Institute of Information Technology Allahabad, Allahabad, India

    Sonali Agarwal

  2. Department of Information Technology, Indian Institute of Information Technology Allahabad, Allahabad, India

    Shekhar Verma

  3. Department of Electrical Engineering and Computing Science, University of Cincinnati, Cincinnati, OH, USA

    Dharma P. Agrawal

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Parmar, R., Wadhwani, S., Pandit, M. (2020). Modified Flower Pollination Algorithm for Optimal Power Flow in Transmission Congestion. In: Agarwal, S., Verma, S., Agrawal, D. (eds) Machine Intelligence and Signal Processing. MISP 2019. Advances in Intelligent Systems and Computing, vol 1085. Springer, Singapore. https://doi.org/10.1007/978-981-15-1366-4_15

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