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- W3112524397 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." @default.
- W3112524397 created "2020-12-21" @default.
- W3112524397 creator A5053951688 @default.
- W3112524397 date "2021-01-01" @default.
- W3112524397 modified "2023-09-25" @default.
- W3112524397 title "Elucidation for prime power flow DelinPuent in wind energy system" @default.
- W3112524397 doi "https://doi.org/10.1504/ijpelec.2021.10034218" @default.
- W3112524397 hasPublicationYear "2021" @default.
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