The paper presents particle swarm optimization with constriction factor and inertia weight approach which is applied to determine the optimal hourly schedule of power generation in a hydrothermal power system. The obj...
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ISBN:
(纸本)9781479938933
The paper presents particle swarm optimization with constriction factor and inertia weight approach which is applied to determine the optimal hourly schedule of power generation in a hydrothermal power system. The objective of the hydrothermal scheduling problem is to find out the discharge of hydro plants and power generation of thermal plants to minimize the total fuel cost at a schedule horizon while satisfying various constraints. In the present work, the effects of valve point loading in the fuel cost function of the thermal plants are also considered. The developed algorithm is illustrated for a test system consisting of four hydro plants and three thermal plants. It is found that proposed particleswarmoptimization with constrictionfactor and inertiaweightfactorapproach (PSOCFIWA) appears to be the powerful to minimize fuel cost.
In this paper the maximum sidelobe level (SLL) reductions without and with central element feeding in various designs of three-ring concentric circular antenna arrays (CCAA) are examined using a real-coded Evolutionar...
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In this paper the maximum sidelobe level (SLL) reductions without and with central element feeding in various designs of three-ring concentric circular antenna arrays (CCAA) are examined using a real-coded Evolutionary Programming (EP) to finally determine the global optimal three-ring CCAA design. Standard real-coded particleswarmoptimization (PSO) and real-coded particle swarm optimization with constriction factor and inertia weight approach (PSOCFIWA) are also employed for comparative optimization but both prove to be suboptimal. This paper assumes non-uniform excitation weights and uniform spacing of excitation elements in each three-ring CCAA design. Among the various CCAA designs, the design containing central element and 4, 6 and 8 elements in three successive concentric rings proves to be such global optimal design set with global minimum SLL (-39.66 dB) as determined by Evolutionary Programming.
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