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DOI: 10.14569/IJACSA.2021.0120606
PDF

Solving Reactive Power Scheduling Problem using Multi-objective Crow Search Algorithm

Author 1: Surender Reddy Salkuti

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 6, 2021.

  • Abstract and Keywords
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Abstract: This paper presents the solution of multi-objective based optimal reactive power dispatch (MO-ORPD) problem by optimizing the system power losses and voltage stability enhancement index (VSEI)/L-index objectives. ORPD problem is considered as an important issue from system security and operational point of view for optimal steady-state operation of power system. Here, single-objective based ORPD problem is solved using Crow Search Algorithm (CSA) and multi-objective based ORPD problem is solved using multi-objective CSA (MO-CSA). The CSA is considered as an efficient and robust algorithm which determines the global optimal solution for solving the non-linear and discontinuous objective functions. Two standard test systems, i.e., IEEE 30 and 57 bus systems are considered to show the effectiveness, suitability and robustness of CSA and MO-CSA for solving the ORPD problem.

Keywords: Optimal power flow; crow search algorithm; evolutionary algorithms; loss minimization; reactive power scheduling; multi-objective optimization

Surender Reddy Salkuti, “Solving Reactive Power Scheduling Problem using Multi-objective Crow Search Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 12(6), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120606

@article{Salkuti2021,
title = {Solving Reactive Power Scheduling Problem using Multi-objective Crow Search Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120606},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120606},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {6},
author = {Surender Reddy Salkuti}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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