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https://doi.org/10.17559/TV-20150705224051

Scheduling practical generating system using an improved bacterial swarm optimization

Raviprabakaran Vijay   ORCID icon orcid.org/0000-0002-4015-5766 ; Anna University, Regional Campus, 641046 Coimbatore, India
C. Subramanian Ravichandran ; Sri Ramakrishna Engineering College, 641022 Coimbatore, India

Puni tekst: engleski, pdf (574 KB) str. 1307-1315 preuzimanja: 317* citiraj
APA 6th Edition
Vijay, R. i Ravichandran, C.S. (2016). Scheduling practical generating system using an improved bacterial swarm optimization. Tehnički vjesnik, 23 (5), 1307-1315. https://doi.org/10.17559/TV-20150705224051
MLA 8th Edition
Vijay, Raviprabakaran i C. Subramanian Ravichandran. "Scheduling practical generating system using an improved bacterial swarm optimization." Tehnički vjesnik, vol. 23, br. 5, 2016, str. 1307-1315. https://doi.org/10.17559/TV-20150705224051. Citirano 28.02.2021.
Chicago 17th Edition
Vijay, Raviprabakaran i C. Subramanian Ravichandran. "Scheduling practical generating system using an improved bacterial swarm optimization." Tehnički vjesnik 23, br. 5 (2016): 1307-1315. https://doi.org/10.17559/TV-20150705224051
Harvard
Vijay, R., i Ravichandran, C.S. (2016). 'Scheduling practical generating system using an improved bacterial swarm optimization', Tehnički vjesnik, 23(5), str. 1307-1315. https://doi.org/10.17559/TV-20150705224051
Vancouver
Vijay R, Ravichandran CS. Scheduling practical generating system using an improved bacterial swarm optimization. Tehnički vjesnik [Internet]. 2016 [pristupljeno 28.02.2021.];23(5):1307-1315. https://doi.org/10.17559/TV-20150705224051
IEEE
R. Vijay i C.S. Ravichandran, "Scheduling practical generating system using an improved bacterial swarm optimization", Tehnički vjesnik, vol.23, br. 5, str. 1307-1315, 2016. [Online]. https://doi.org/10.17559/TV-20150705224051
Puni tekst: hrvatski, pdf (574 KB) str. 1307-1315 preuzimanja: 176* citiraj
APA 6th Edition
Vijay, R. i Ravichandran, C.S. (2016). Planiranje praktičnog sustava generiranja uporabom poboljšane optimizacije bakterijskog roja. Tehnički vjesnik, 23 (5), 1307-1315. https://doi.org/10.17559/TV-20150705224051
MLA 8th Edition
Vijay, Raviprabakaran i C. Subramanian Ravichandran. "Planiranje praktičnog sustava generiranja uporabom poboljšane optimizacije bakterijskog roja." Tehnički vjesnik, vol. 23, br. 5, 2016, str. 1307-1315. https://doi.org/10.17559/TV-20150705224051. Citirano 28.02.2021.
Chicago 17th Edition
Vijay, Raviprabakaran i C. Subramanian Ravichandran. "Planiranje praktičnog sustava generiranja uporabom poboljšane optimizacije bakterijskog roja." Tehnički vjesnik 23, br. 5 (2016): 1307-1315. https://doi.org/10.17559/TV-20150705224051
Harvard
Vijay, R., i Ravichandran, C.S. (2016). 'Planiranje praktičnog sustava generiranja uporabom poboljšane optimizacije bakterijskog roja', Tehnički vjesnik, 23(5), str. 1307-1315. https://doi.org/10.17559/TV-20150705224051
Vancouver
Vijay R, Ravichandran CS. Planiranje praktičnog sustava generiranja uporabom poboljšane optimizacije bakterijskog roja. Tehnički vjesnik [Internet]. 2016 [pristupljeno 28.02.2021.];23(5):1307-1315. https://doi.org/10.17559/TV-20150705224051
IEEE
R. Vijay i C.S. Ravichandran, "Planiranje praktičnog sustava generiranja uporabom poboljšane optimizacije bakterijskog roja", Tehnički vjesnik, vol.23, br. 5, str. 1307-1315, 2016. [Online]. https://doi.org/10.17559/TV-20150705224051

Sažetak
This paper offers an improved technique namely, Quorum sensing based Bacterial Swarm Optimization (QBSO) technique to solve Practical Dynamic Economic Dispatch (PDED) problem. Quorum sensing is the communication signalling mechanism that permits the bacteria to organize the collective behaviour. The enhanced QBSO method improves the exploration capability of bacterial swarm. The practicability of the proposed method is tested on standard 10 generating unit system and the public practical south Indian 20 thermal generating system with recorded load demand profiles. The enhanced technique increases the operational speed of scheduling and reduces the generating cost of standard system and the thermal generating units owned by Tamilnadu Generation and Distribution Corporation Limited (TANGEDCO). The presented technique outperforms when compared with conventional bacterial swarm optimization technique and some recently published methods.

Ključne riječi
Dynamic Economic Dispatch; Practical Load Demand Profiles; Quorum Sensing based Bacterial Swarm Optimization; 20 South Indian Thermal Units

Hrčak ID: 167488

URI
https://hrcak.srce.hr/167488

[hrvatski]

Posjeta: 783 *