Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/180628
Title: Smart Grid Monitoring Model
Researcher: Singhal, Anjali
Guide(s): Saxena, R. P.
Keywords: Monitoring Model
Smart Grid
University: Mewar University
Completed Date: 2017
Abstract: Power system is the network of all the components used to generate, distribute and newlinesupply electric power to consumers (residential, commercial and industrial). Today power newlinesystem is facing many challenges like Automation, optimization and proper planning. For newlineovercoming these challenges, Smart Grid concept is emerged. Smart Grid is a nebulous newlineterm spanning various functionalities geared towards modernizing the power grid. newlineCharacteristics of transmission networks and distribution networks are different. The newlinecore of this research is to help the distribution network of the power system, by newlineconstructing a Smart Grid policy tool that can cerebrally helps in improving the power newlineutilization among consumers using same resource. Distribution management system is newlineone of the decision support system, which helps in improving this integration by newlineproviding various key performance indicators. The aim of this research is to retrieve a newlinemethodology, which can help this system in data management and to construct smart grid newlinetool that attains the growing necessity of the power in intellectual manner and report by newlineimproving power utilization. The main objectives are to help utilities to get their dues and newlineto encourage the consumers by using them with financial benefits by power in optimized newlinemanner. To meet this objective, Shapley Theorem is being applied on the billing system. newlineShapley Theorem is derived from coalition game theory. For each coalition, the total newlinepayoff is available for division among the members using an axiomatic approach. This newlinegives a fair division of the gains of cooperation among the members of a coalition. To newlineapply Shapley Value on the billing system, the upper base limit and lower base limit of newlinethe usage are predefined for coalition of consumer after the discussion of all the newlinecoalition s members. At the end of the month, if the usage is above that upper base limit, newlinethen surcharge is being calculated for the customer are calculated based on Shapley newlineTheorem. Similarly if the usage is lower than the upper base limit,
Pagination: XIV, 147 P
URI: http://hdl.handle.net/10603/180628
Appears in Departments:Department of Computer Science and Engineering

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01_title.pdfAttached File68.23 kBAdobe PDFView/Open
02_undertaking.pdf41.77 kBAdobe PDFView/Open
03_dedication.pdf51.72 kBAdobe PDFView/Open
04_certificates.pdf51.81 kBAdobe PDFView/Open
05_acknowledgement.pdf51.1 kBAdobe PDFView/Open
06_contents.pdf54.4 kBAdobe PDFView/Open
07_abstract.pdf46.38 kBAdobe PDFView/Open
08_tables.pdf44.87 kBAdobe PDFView/Open
09_figures.pdf45.41 kBAdobe PDFView/Open
10_abbreviations.pdf44.47 kBAdobe PDFView/Open
11_chapter 1.pdf378.87 kBAdobe PDFView/Open
12_chapter 2.pdf466.92 kBAdobe PDFView/Open
13_chapter 3.pdf161.71 kBAdobe PDFView/Open
14_chapter 4.pdf3.83 MBAdobe PDFView/Open
15_chapter 5.pdf48.84 kBAdobe PDFView/Open
16_references.pdf61.18 kBAdobe PDFView/Open
17_annexure 1.pdf136.97 kBAdobe PDFView/Open
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