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Design of fractional swarming strategy for solution of optimal reactive power dispatch

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Abstract

Optimal reactive power dispatch (RPD) for reducing the real power losses of the transmission system is one of the paramount concerns for the research community to investigate the efficiency of power systems. In this paper, strength of meta-heuristic computing paradigm based on fractional-order Darwinian particle swarm optimization (FO-DPSO) is exploited for optimization of RPD problems in energy sector. The fitness functions including line loss minimization and voltage deviation (voltage profile index) are constructed to find the optimal reactive power flow for IEEE 30- and 57-bus test systems. The rich heritage of fractional evolutionary computing through variants of FO-DPSO is applied to minimization problem of optimal power flow by determination of control variables in terms of VAR compensators, bus voltages and transformer tap settings. Comparison of the results shows that fractional swarming intelligence outperformed the state-of-the-art counterparts by means of both line loss minimization and voltage deviation. Superiority of the proposed scheme is also validated for different degrees of freedom in the optimal RPD problems.

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Authors and Affiliations

  1. Electrical and Computer Engineering Department, COMSATS University Islamabad, Wah Campus, Wah, Pakistan

    Yasir Muhammad & Rahimdad Khan

  2. Electrical and Computer Engineering Department, COMSATS University Islamabad, Attock Campus, Attock, Pakistan

    Farman Ullah, Ata ur Rehman & Muhammad Asif Zahoor Raja

  3. School of Electrical and Electronics, University of Adelaide, Adelaide, Australia

    Muhammad Saeed Aslam

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  1. Yasir Muhammad
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Muhammad, Y., Khan, R., Ullah, F. et al. Design of fractional swarming strategy for solution of optimal reactive power dispatch. Neural Comput & Applic 32, 10501–10518 (2020). https://doi.org/10.1007/s00521-019-04589-9

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