Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/28526
Title: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems
Researcher: Umayal SP
Guide(s): Kamaraj N
Keywords: lack of funds
Power system optimization problems
Upload Date: 20-Nov-2014
University: Anna University
Completed Date: 01/10/2007
Abstract: In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources in an economic way has become newlineincreasingly important due to the increasing cost of generation transmission newlineand lack of funds for further expansion so economic dispatch of power to the newlinecommitted units subject to technical constraints is important Economic newlineDispatch problem can be solved by using either deterministic or stochastic newlineApproach The deterministic approach assumes exact knowledge of available newlinegeneration capacity and load newlineBut in real time operation there are many uncertainties and newlineinaccuracies present due to errors in load forecasting and measuring of input newlinedata which lead to deviation from original operating condition The newlineprobabilistic or stochastic approach on the other hand recognizes the effect of newlinerandomness in both load and available generation capacity This approach newlinerequires knowledge of the statistical characteristic factors such as mean newlinevariance covariance coefficient of variation correlation coefficient of the newlinevariables of interest So fixing production cost of power generated based on newlinethe cost calculated by the deterministic model is not accurate and may lead to newlineloss for the power generating utilities newline newline
Pagination: xxii, 192p.
URI: http://hdl.handle.net/10603/28526
Appears in Departments:Faculty of Electrical and Electronics Engineering

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04_acknowledgement.pdf6.78 kBAdobe PDFView/Open
05_content.pdf44.1 kBAdobe PDFView/Open
06_chapter1.pdf55.24 kBAdobe PDFView/Open
07_chapter2.pdf59.56 kBAdobe PDFView/Open
08_chapter3.pdf19.22 kBAdobe PDFView/Open
09_chapter4.pdf78.81 kBAdobe PDFView/Open
10_chapter5.pdf106.93 kBAdobe PDFView/Open
11_chapter6.pdf272.8 kBAdobe PDFView/Open
12_chapter7.pdf104.56 kBAdobe PDFView/Open
13_chapter8.pdf97.96 kBAdobe PDFView/Open
14_chapter9.pdf105.62 kBAdobe PDFView/Open
15_chapter10.pdf268.11 kBAdobe PDFView/Open
16_chapter11.pdf32.15 kBAdobe PDFView/Open
17_reference.pdf31.35 kBAdobe PDFView/Open
18_publication.pdf11.04 kBAdobe PDFView/Open
19_vitae.pdf5.7 kBAdobe PDFView/Open


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