Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/357186
Title: | Optimization algorithms for allocation of Compensating devices in radial distribution Networks |
Researcher: | Balamurugan P |
Guide(s): | P Muthukannan |
Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | Saveetha University |
Completed Date: | 2018 |
Abstract: | The optimal allocation of Capacitor, RDG and DSTATCOM in radial distribution newlinenetwork are becoming more significant. The proper allocation of compensating devices newlinein the radial distribution networks can benefit on power loss minimization, improve voltage newlineprofile and Voltage stability enhancement, power factor improvement and mitigating newlinepower quality problems. newlineThe drawbacks of existing optimization techniques have been identified from the newlineliterature reviews. To overcome the drawbacks, the researcher proposed recently newlinedeveloped optimization algorithms like, Modified Bat Algorithm, Cuckoo Search Algorithm newlineand Whale Optimization Algorithm for allocating the compensating devices. The proposed newlinemethod is validated on the Indian rural 28-bus and standard IEEE 69-bus test systems in newlineRDN. newlineIn the first work, the Modified Bat Algorithm (MBA) is used to reduce the total power newlinelosses and voltage profile enhancement using multiple RDGs (Windand Solar) in RDN. The newlinewind based RDGs producing better results in terms of Power loss reduction and voltage newlineprofile enhancement compared to solar based RDGs. newlineIn the second work, recently developed Meta heuristic Whale optimization newlinealgorithm (WOA) is proposed to mitigate the power losses and enhance the system newlinestability using single and multiple DSTATCOMs. From the results it could be identified newlinethat the multiple DSTATCOM placement in the RDN gives better results compared to newlinesingle DSTATCOM placement. newlineIn the third work, bio inspired Cuckoo Search Algorithm (CSA) is utilized to allocate newlinethe RDGs and SCs in the RDN to achieve the objective function. The RDN has been newlineanalyzed in four different cases with RDGs and SCs. By comparing with other cases the newlinesimultaneous allocation of RDGs and SCs produce better results in terms of loss newlinereduction, voltage profile improvement and voltage stability enhancement.In the final work, an integrated approach has been proposed and analyzed in the newlineRDN with different scenarios. newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/357186 |
Appears in Departments: | Department of Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf.pdf | Attached File | 108.22 kB | Adobe PDF | View/Open |
02_certificate.pdf.pdf | 103.14 kB | Adobe PDF | View/Open | |
03_declaration.pdf.pdf | 87.52 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf.pdf | 172.75 kB | Adobe PDF | View/Open | |
05_contents.pdf.pdf | 172.37 kB | Adobe PDF | View/Open | |
06_list_of_tables.pdf.pdf | 5.05 kB | Adobe PDF | View/Open | |
07_list_of_figures.pdf.pdf | 177.03 kB | Adobe PDF | View/Open | |
08_abbreviations.pdf.pdf | 176.14 kB | Adobe PDF | View/Open | |
09_chapter 1.pdf.pdf | 441.47 kB | Adobe PDF | View/Open | |
10_chapter 2.pdf.pdf | 616.31 kB | Adobe PDF | View/Open | |
11_chapter 3.pdf.pdf | 876.34 kB | Adobe PDF | View/Open | |
12_chapter 4.pdf.pdf | 826.88 kB | Adobe PDF | View/Open | |
13_chapter 5.pdf.pdf | 875.58 kB | Adobe PDF | View/Open | |
14_summary and conclusion.pdf.pdf | 270.1 kB | Adobe PDF | View/Open | |
15_bio.pdf.pdf | 362.23 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 270.1 kB | Adobe PDF | View/Open |
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