Technical gazette, Vol. 23 No. 5, 2016.
Original scientific paper
https://doi.org/10.17559/TV-20150705224051
Scheduling practical generating system using an improved bacterial swarm optimization
Raviprabakaran Vijay
orcid.org/0000-0002-4015-5766
; Anna University, Regional Campus, 641046 Coimbatore, India
C. Subramanian Ravichandran
; Sri Ramakrishna Engineering College, 641022 Coimbatore, India
Abstract
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.
Keywords
Dynamic Economic Dispatch; Practical Load Demand Profiles; Quorum Sensing based Bacterial Swarm Optimization; 20 South Indian Thermal Units
Hrčak ID:
167488
URI
Publication date:
13.10.2016.
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