JOURNAL ARTICLE

Non-convex Economic Load Dispatch using Cuckoo Search Algorithm

Karthik NagarajanA. K. ParvathyR. Arul

Year: 2017 Journal:   Indonesian Journal of Electrical Engineering and Computer Science Vol: 5 (1)Pages: 48-48   Publisher: Institute of Advanced Engineering and Science (IAES)

Abstract

<p>This paper presents cuckoo search algorithm (CSA) for solving non-convex economic load dispatch (ELD) problems of fossil fuel fired generators considering transmission losses and valve point loading effect. CSA is a new meta-heuristic optimisation technique inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. The strength of the proposed meta-heuristic optimization technique CSA has been tested and validated on the standard IEEE 14-bus, 26-bus and 30-bus system with several heuristic load patterns. The results have indicated that the proposed approach is able to obtain significant economic load dispatch solutions than those of Firefly Algorithm (FFA) and other soft computing techniques reported in the literature.</p>

Keywords:
Cuckoo search Economic dispatch Firefly algorithm Cuckoo Mathematical optimization Heuristic Algorithm Computer science Brood parasite Mathematics Electric power system Host (biology) Power (physics) Particle swarm optimization Biology

Metrics

18
Cited By
0.79
FWCI (Field Weighted Citation Impact)
0
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Load and Power Forecasting
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering

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