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Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks

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Abstract

The principal motivation of the marine predators algorithm (MPA) is the common foraging technique, including Lévy and Brownian motions in ocean predators coupled with optimal contact intensity policy in predator–prey biological interaction. This paper proposes an improved marine predators algorithm (IMPA), which is an extension of the original MPA. The suggested improvements lead to rapid convergence and avoid local minima stagnation for the original MPA. IMPA controls the active and reactive power injected into distribution systems to minimize the total system losses and the total voltage deviations and maximize the voltage stability and improve the distribution system's overall performance. On the one hand, the proposed IMPA determines the optimal location and active power (location and size, respectively) of distributed generation (DG). On the other hand, the IMPA controls reactive power by optimally placing and sizing the shunt capacitors (SCs) and determining the PF of DGs. Two standard test systems, 69-bus and 118-bus distribution networks, are considered to prove the proposed algorithm’s efficiency and scalability. Results of the proposed IMPA are compared with those obtained by MPA, AEO, and PSO algorithms. The findings of the simulation results demonstrate that the proposed IMPA can effectively find the optimal problem solutions and beats the other algorithms. Moreover, the framework of multi-objective IMPA outperforms based on MPA in terms of the performance measures of diversity, spacing, coverage, and hypervolume.

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Authors and Affiliations

  1. Department of Electrical Engineering, College of Engineering, Qassim University, Unaizah, 56452, Saudi Arabia

    Ahmad Eid

  2. Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt

    Ahmad Eid & Salah Kamel

  3. Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, 11953, Jordan

    Laith Abualigah

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  1. Ahmad Eid
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Correspondence to Ahmad Eid.

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Appendix A

Appendix A

The links of MATLAB codes of all competitive algorithms used in this work are given as:

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Eid, A., Kamel, S. & Abualigah, L. Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks. Neural Comput & Applic 33, 14327–14355 (2021). https://doi.org/10.1007/s00521-021-06078-4

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