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Title: Fuzzy based stochastic algorithms for multi objective reactive power optimization
Researcher: Silas stephen D
Guide(s): Somasundaram P
Keywords: Electrical engineering
Evolutionary Programming (EP)
Multi-Objective Reactive Power Optimization (MORPO)
Particle Swarm Optimization (PSO)
Upload Date: 28-Feb-2014
University: Anna University
Completed Date: 01/10/2013
Abstract: The main objective of this research work is to develop enhanced newlinestochastic search algorithms for solving Multi-Objective Reactive Power newlineOptimization (MORPO) problem. The enhanced stochastic search algorithms newlineare developed from the conventional Evolutionary Programming (EP), Tabu newlineSearch (TS) and Particle Swarm Optimization (PSO) algorithms. The newlineenhancements in these stochastic search algorithms are based on certain newlineaffirmative modifications using fuzzy logic and hence these algorithms are newlineappropriately termed as Fuzzy Mutated Evolutionary Programming (FMEP), newlineFuzzy Guided Tabu Search (FGTS) and Fuzzified Particle Swarm newlineOptimization (FPSO). The modifications made into the conventional EP, TS newlineand PSO algorithms ensure more reliable and faster convergence in obtaining newlinea global optimal solution. The integrity of the proposed algorithms lies in the newlinesignificance of dealing the optimization problems without placing any newlinerestrictions on the structure or type of the function to be optimized. The newlinevarious RPO problems that are solved using the proposed algorithms are newlineMulti-Objective Reactive Power Optimization (MORPO) problem and newlineMORPO with FACTS controllers. newlineThe RPO problem gives the optimal reactive power dispatch for newlinestatic power system loading condition. The objective function of RPO newlineproblem is to minimize the total real power loss in the system with power newlinebalance equality constraints, limits on the control variables namely newlinecontrollable voltage magnitudes, switchable VAR compensators and transformer tap ratios, limits on the dependent variables namely reactive newlinepower generations and load bus voltage magnitudes and limits on MVA line newlineflows. Certain additional objectives like voltage deviation, cost of VAR newlinesources and voltage stability index are considered in the RPO problem leading newlineto the formulation of Multi-Objective Reactive Power Optimization newline(MORPO) problem. newline
Pagination: xxvii, 162p.
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File33.05 kBAdobe PDFView/Open
02_certificate.pdf5.7 kBAdobe PDFView/Open
03_abstract.pdf11.13 kBAdobe PDFView/Open
04_acknowledgements.pdf7.11 kBAdobe PDFView/Open
05_contents.pdf42.28 kBAdobe PDFView/Open
06_chapter1.pdf70.87 kBAdobe PDFView/Open
07_chapter2.pdf111.8 kBAdobe PDFView/Open
08_chapter3.pdf181.81 kBAdobe PDFView/Open
09_chapter4.pdf211.75 kBAdobe PDFView/Open
10_chapter5.pdf167.52 kBAdobe PDFView/Open
11_chapter6.pdf345.19 kBAdobe PDFView/Open
12_chapter7.pdf15.03 kBAdobe PDFView/Open
13_appendix.pdf103.02 kBAdobe PDFView/Open
14_references.pdf130.18 kBAdobe PDFView/Open
15_publications.pdf31.58 kBAdobe PDFView/Open
16_vitae.pdf8.62 kBAdobe PDFView/Open

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