TY  - JOUR
T1  - Economic Load Dispatch Problem with Ant Lion Optimization Using Practical Constraints
AU  - Reddy, Y.venkata Krishna
AU  - Reddy, M.damodar
PY  - 2019
DA  - June
JF  - Gazi University Journal of Science
PB  - Gazi University
WT  - DergiPark
SN  - 2147-1762
SP  - 524
EP  - 542
VL  - 32
IS  - 2
LA  - en
AB  - This paper presents AntLion Optimization (ALO) algorithmffffor solvingfffEconomic Load Dispatch(ELD) problemfffwith practical constraints. ALO is a newly developedoptimization algorithm, which draws inspiration from mimics, the huntingfffmechanism of antlions innature. The antlions have a unique hunting mechanism and exhibit highcapability of reaching global optima, exploring the search space to find theoptimalfffsolution within a low computational time. Forpractical ELD problem needs to take care about the characteristics ofgenerators, and their operational constraints, such as ramp rate limits,prohibited operating zones, generation operating limits, transmission loss,valve-point loading and non-linear emission functions. In order to validate the potency of the proposed method, four casestudies are investigated on different 6-unit systems and correlated withrecently published ELD solution methods. The results of the present work showsthat the proposed ALO is dominant than othermethods to finding out optimal results. Stastical analysisfffof the results among 30trails has beenfffcarried out to validate the ALO as a highly potentmethod. This algorithmfffis considered to be a promising best alternativealgorithm for solving the ELD problemff in power systems.
KW  - Economic Load Dispatch
KW  - Ant Lion Optimization
KW  - Ramp rate limits
KW  - Prohibited operating zones
KW  - Transmission loss
KW  - Valve-point loading
KW  - Non-linear emission
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UR  - https://dergipark.org.tr/en/pub/gujs/issue//421816
L1  - https://dergipark.org.tr/en/download/article-file/725471
ER  -