Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/339694
Title: Optimization of production cost by assessing ramp cost of independent power producer using firefly algorithm and gray wolf algorithm
Researcher: Kathiravan, K
Guide(s): Rathina Prabja, N
Keywords: Gray wolf algorithm
Power producer
Optimal production
University: Anna University
Completed Date: 2020
Abstract: This thesis is devoted to the optimization of optimal production cost of Independent Power Producer (IPP) by assessing ramp cost in the deregulated environment. Now a days, the main focus of the restructured environment is to improve the performance of power system, customer proliferation and cost revenue minimization. Here, the independent power producers play a vital role in the restructured power market. Depending upon the load variation occurs in the power market the power producers have to respond and need to operate their power generators by satisfying the system operating constraints. The power generators of the power producer have their own power limits and ramp rate limits which are specified by the power generator manufacturers. These ramp rate limits are considered as ramping constraints and they are specified as secure elastic range of power generator to operate. The power generator operation within the secure elastic range helps to strengthen the shaft to safeguard the rotor fatigue effect. If the power generators operate beyond the secure elastic range or operating limits are exceeded, they face the risk of reducing the rotor life of the power producer. This fatigue effect occurrence in the rotor can be compensated by incorporating appropriate ramping costs for power producers, power demand and power price in deregulated power market. In the power system, the power dispatch is one of the important control activity. Conventionally, numerous techniques are available to obtain the minimum production cost of power producer, to attain the minimum production cost by assessing ramp cost along with satisfying the operational and transmission constraints, the Optimal Power Flow (OPF) technique is one of the important concept in a power system. Due to the nonlinear nature of problem in the power system, many researchers have explored the Artificial Intelligence (AI) techniques to obtain the optimal solution. Optimization technique helps to the power producers by allowing them to obtain better efficiency, mak
Pagination: xxiv,147 p.
URI: http://hdl.handle.net/10603/339694
Appears in Departments:Faculty of Electrical Engineering

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02_certificates.pdf1.74 MBAdobe PDFView/Open
03_vivaproceedings.pdf503.57 kBAdobe PDFView/Open
04_bonafidecertificate.pdf246.74 kBAdobe PDFView/Open
05_abstracts.pdf10.06 kBAdobe PDFView/Open
06_acknowledgements.pdf357.96 kBAdobe PDFView/Open
07_contents.pdf108.33 kBAdobe PDFView/Open
08_listoftables.pdf42.13 kBAdobe PDFView/Open
09_listoffigures.pdf33.01 kBAdobe PDFView/Open
10_listofabbreviations.pdf64.92 kBAdobe PDFView/Open
11_chapter1.pdf244.09 kBAdobe PDFView/Open
12_chapter2.pdf139.36 kBAdobe PDFView/Open
13_chapter3.pdf710.02 kBAdobe PDFView/Open
14_chapter4.pdf616.02 kBAdobe PDFView/Open
15_chapter5.pdf675.71 kBAdobe PDFView/Open
16_chapter6.pdf645.89 kBAdobe PDFView/Open
17_conclusion.pdf32.98 kBAdobe PDFView/Open
18_appendices.pdf540.94 kBAdobe PDFView/Open
19_references.pdf149.75 kBAdobe PDFView/Open
20_listofpublications.pdf48.79 kBAdobe PDFView/Open
80_recommendation.pdf54.42 kBAdobe PDFView/Open
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