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

Scheduling practical generating system using an improved bacterial swarm optimization

Raviprabakaran Vijay orcid id 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: hrvatski pdf 574 Kb

str. 1307-1315

preuzimanja: 307

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Puni tekst: engleski pdf 574 Kb

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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

Datum izdavanja:

13.10.2016.

Podaci na drugim jezicima: hrvatski

Posjeta: 1.512 *