Stochastic Multi Objective Short Term Hydrothermal Scheduling Using Particle Swarm Optimization

In the multi objective framework particle swarm optimization technique is used to find the generation schedule of a short-range fixed head hydrothermal problem, through the improvement of the selection manner for global and individual extreme. The multi objective problem is formulated considering fi...

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Bibliographic Details
Published in2005 Annual IEEE India Conference - Indicon pp. 497 - 501
Main Authors Umayal, S.P., Kamaraj, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
coefficient of correlation
Constraint optimization
Cost function
expected values
Fuels
Numerical simulation
Particle swarm optimization
Power generation
Random variables
stochastic
Stochastic processes
Stochastic systems
Uncertainty
variance
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Summary:In the multi objective framework particle swarm optimization technique is used to find the generation schedule of a short-range fixed head hydrothermal problem, through the improvement of the selection manner for global and individual extreme. The multi objective problem is formulated considering five objectives (1) cost (2) NOx emission (3) SO 2 emission (4) CO 2 emission (5) variance of generation mismatch with the explicit recognition of statistical uncertainties in the thermal generation cost, NOx, SO 2 and CO 2 emission curves and power demand, which are random variables. Solution to the problem is based on the generation of non-inferior solution, which allows explicit trade off between objective levels. The search for optimal set of multi objective optimization problem is done using PSO. Numerical simulation of two-sample system shows the effectiveness of the proposed algorithm.
ISBN:0780395034
9780780395039
ISSN:2325-940X
DOI:10.1109/INDCON.2005.1590220