Izvorni znanstveni članak
https://doi.org/10.30765/er.1465
A novel bat algorithm for solving optimal power flow problem
Hardiansyah Hardiansyah
; Department of Electrical Engineering, Faculty of Engineering, University of Tanjungpura, Indonesia
Sažetak
This paper presents an application of a novel bat algorithm (NBA) for solving optimal power flow (OPF) problems in power systems. The proposed algorithm combines a bat habitat selection and their self-adaptive compensation for the Doppler effects in echoes into the basic bat algorithm (BA). The selection of the bat habitat is modeled as a selection between their quantum behavior and mechanical behavior. The objective of this paper is to minimize the total generation costs by considering equality and inequality constraints. To validate the proposed algorithm, the standard IEEE 30-bus and 57-bus test systems are applied. The results show that the proposed technique provides a better solution than other heuristic techniques reported in the literature.
Ključne riječi
novel bat algorithm; optimization; optimal power flow; power systems
Hrčak ID:
247936
URI
Datum izdavanja:
24.11.2021.
Posjeta: 861 *