Authors: P. Nagalakshmi
Addresses: Panacorp Software Solutions, Nagercoil, Tamil Nadu, 629001, India
Abstract: Wind energy is a renewable energy source its generation rate is tends to be due to uncertainty. This issue (OPF) is considered to resolve by a replacement amalgam multi-destination synthetic physical optimisation (AMDSPO) algorithmic rule, which does not require any administration parameters contrasted with various meta-heuristic calculations. Synthetic physical optimisation (SPO), a modestly new population-based intelligence algorithm, indicates fine execution on change issues. Besides, this paper presents half breed assortment of animal trek optimisation (ATO) algorithmic govern to express the union normal for SPO. The proposed methodology effectiveness is tested on IEEE 30-bus, IEEE 118-bus and IEEE 300-bus check system. The results oriented in the proposed methodology are compared for its betterment from other techniques. Thus the proposed methodology resolves the OPF issue and gives efficient wind energy power generation system.
Keywords: optimal power flow; OPF; meta-heuristic algorithms; synthetic physical optimisation; SPO; animal trek optimisation; ATO; adaptive penalty functions; APF; value point loading; VPL; prohibited operating zones; POZ.
International Journal of Power Electronics, 2021 Vol.13 No.2, pp.183 - 207
Received: 19 Mar 2018
Accepted: 24 Jul 2018
Published online: 15 Dec 2020 *