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Research Article | Open Access |

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) · Vol. 12, No. 6 · Published 2021

DOI: https://doi.org/10.14569/IJACSA.2021.0120606

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

How to Cite this Article

Salkuti, S. R. (2021). Solving Reactive Power Scheduling Problem using Multi-objective Crow Search Algorithm. International Journal of Advanced Computer Science and Applications, 12(6). https://doi.org/10.14569/IJACSA.2021.0120606

Salkuti, Surender Reddy. "Solving Reactive Power Scheduling Problem using Multi-objective Crow Search Algorithm." International Journal of Advanced Computer Science and Applications, vol. 12, no. 6, 2021, https://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},
  volume    = {12},
  number    = {6},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Surender Reddy Salkuti},
  doi       = {10.14569/IJACSA.2021.0120606},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120606}
}

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