Tytuł artykułu

Research on hybrid modified pathfinder algorithm for optimal reactive power dispatch

Tytuł czasopisma

Bulletin of the Polish Academy of Sciences Technical Sciences

Rocznik

2021

Wolumin

69

Numer

4

Afiliacje

Suresh, V. : Department of Electrical and Electronics Engineering, Government College of Engineering, Salem-11, India ; Senthil Kumar, S. : Department of Electrical and Electronics Engineering, Government College of Engineering, Salem-11, India

Autorzy

Suresh, V. ; Senthil Kumar, S.

Słowa kluczowe

optimal reactive power dispatch (ORPD) ; real power losses ; pathfinder algorithm (PFA) ; modified pathfinder algorithm (mPFA) ; hybrid pathfinder algorithm (HPFA)

Wydział PAN

Nauki Techniczne

Zakres

e137733

Bibliografia

1.  M. Gwozd and L. Ciepliński, “Power supply with parallel reactive and distortion power compensation and tunable inductive filter-part 1”, Bull. Pol. Acad. Sci. Tech. Sci., vol. 68, pp. 401–408, 2020, doi: 10.24425/BPASTS.2020.133383.
2.  M.N. Acosta, D. Topic, and M.A. Andrade, “Optimal Microgrid–Interactive Reactive Power Management for Day–Ahead Operation”, Energies, vol. 14, no. 5, p. 1275, 2021, doi: 10.3390/en14051275.
3.  A.M. Tudose, I.I. Picioroaga, D.O. Sidea, and Co. Bulac, “Solving Single- and Multi-Objective Optimal Reactive Power Dispatch Problems Using an Improved Salp Swarm Algorithm”, Energies, vol. 14, no. 5, p. 1222, 2021, doi: 10.3390/en14051222.
4.  E. Canelas, T. Pinto-Varela, and B. Sawik, “Electricity Portfolio Optimization for Large Consumers: Iberian Electricity Market Case Study”, Energies, vol. 13, no. 9, p. 2249, 2020, doi: 10.3390/en13092249.
5.  V. Suresh and S.S. Kumar, “Optimal reactive power dispatch for minimization of real power loss using SBDE and DE-strategy algorithm”, J. Ambient Intell. Hum. Comput., 2020, doi: 10.1007/s12652-020-02673-w.
6.  H. Yapici and N. Cetinkaya, “A new meta-heuristic optimizer: pathfinder algorithm”, Appl. Soft Comput., vol. 78, pp. 545–568, 2019, doi: 10.1016/j.asoc.2019.03.012.
7.  R. Storn and K. Price, “Differential evolution – A simple and efficient adaptive scheme for global optimization over continuous spaces,” J. Global Optim., vol. 11, pp. 341– 359, 1997, doi: 10.1023/A:1008202821328.
8.  R.P. Singha and S.P. Ghoshal, “Optimal reactive power dispatch by particle swarm optimization with an aging leader and challengers”, Appl. Soft Comput., vol. 29, pp. 298–309, 2015, doi: 10.1016/j.asoc.2015.01.006.
9.  M. Ghasemi et. al, “A new hybrid algorithm for optimal reactive power dispatch problem with discrete and continuous control variables,” Appl. Soft Comput., vol. 22, pp. 126–140, 2014, doi: 10.1016/j.asoc.2014.05.006.
10.  M. Ghasemi and M. Ghanbarian, “Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: A comparative study”, Inf. Sci., vol. 278, pp. 231–249, 2014, doi: 10.1016/j.ins.2014.03.050.
11.  B. Mandal and P.K. Roy, “Optimal reactive power dispatch using quasi-oppositional teaching learning based optimization”, Electr. Power Energy Syst., vol. 53, pp. 123–134, 2013, doi: 10.1016/j.ijepes.2013.04.011.
12.  S Mouassa and A. Salhi, “Ant lion optimizer for solving optimal reactive power dispatch problem in power systems”, Eng. Sci. Technol., vol. 20, pp 885–895, 2017, doi: 10.1016/j.jestch.2017.03.006.
13.  S. Mugemanyi et. al., “Optimal Reactive Power Dispatch Using Chaotic Bat Algorithm”, IEEE Access, vol. 8, pp. 65830–65867, 2020, doi: 10.1109/ACCESS.2020.2982988.
14.  W.M. Villa-Acevedo and J.M. Lopez-Lezama, “A novel constraint handling approach for the optimal reactive power dispatch problem”, Energies, vol. 11, p. 2352, 2018, doi: 10.3390/en11092352.
15.  R. Zimmerman, C.E. Murillo-Sanchez, and D. Gan, “MATPOWER 6.0, power systems engineering research center (PSERC)”, 2005, [Online]. Available: https://matpower.org/docs/MATPOWER-manual-6.0.pdf.

Data

27.06.2021

Typ

Article

Identyfikator

DOI: 10.24425/bpasts.2021.137733 ; ISSN 2300-1917