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Title: Application Of Modern Heuristic Optimization Techniques For Load Frequency Control In Interconnected Power Systems
Researcher: Rout, Umesh Kumar
Guide(s): Dr. R.K. Sahu and Dr. S. Panda
Keywords: and#61656; Automatic Generation Control (AGC),Differential Evolution (DE) Algorithm,Governor dead-band nonlinearity,Gravitational Search Algorithm (GSA),Generation Rate Constraint (GRC),Load Frequency Control (LFC),Multi-Area Power System,Multi-Source power system,Proportional Integral (PI) controller, Proportional Integral Derivative (PID) controller ,Sensitivity Analysis ,and#61656; Teaching Learning Based Optimization (TLBO) ,Two Degree of Freedom PID Controller (2-DOF PID)
University: Veer Surendra Sai University of Technology
Completed Date: 
Abstract: This thesis mainly contributes in the area of Load Frequency Control (LFC) of interconnected power systems by the application of Artificial Intelligence (AI) techniques to ensure stable and satisfactory operation of power systems. Among the AI techniques, modern heuristic techniques such as Differential Evolution (DE), Gravitational Search Algorithm (GSA) and Teaching Learning Based Optimization (TLBO) algorithm are efficient techniques for handling optimization problems. In the present thesis, an attempt has been made to explore the application these artificial intelligence techniques for AGC of interconnected power systems. newlineDesign and performance evaluation of DE and GSA optimized PI controller for Automatic Generation Control (AGC) of an interconnected power system is presented in this thesis. Modified objective functions with appropriate weight coefficients are employed to increase the performance of the controller. The superiority of the proposed design approaches has been shown by comparing the results with some recently published modern heuristic optimization techniques. Further, robustness analysis is carried out to demonstrate the robustness of the proposed controller to wide changes in system parameters, and size and position of step load perturbation. newlineA DE optimized parallel 2- Degree of Freedom Proportional-Integral-Derivative (2-DOF PID) controller optimized for Load Frequency Control (LFC) of interconnected power system is presented in this thesis. The superiority of the proposed approach has been shown by comparing the results with a recently published approach. The proposed approach is further extended to a more realistic power system model by considering the physical constraints such as time delay, reheat turbine, GRC newline newlineand governor dead band. It is observed that when physical constraints are introduced, the variations in performance index are prominent. newlineA Gravitational Search Algorithm (GSA) optimized ideal Two Degree of Freedom Proportional-Integral-Derivative (TDOFPID) co
Appears in Departments:Department of Electrical Engineering

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01_title.pdfAttached File9.36 kBAdobe PDFView/Open
02_certificates.pdf30.93 kBAdobe PDFView/Open
03_acknowledgements.pdf7.34 kBAdobe PDFView/Open
04_contents.pdf66.87 kBAdobe PDFView/Open
05_preface & keyword.pdf46.48 kBAdobe PDFView/Open
06_list of figures & tables.pdf265.12 kBAdobe PDFView/Open
07_chapter 1.pdf522.44 kBAdobe PDFView/Open
08_chapter 2.pdf882.09 kBAdobe PDFView/Open
09_chapter 3.pdf826.33 kBAdobe PDFView/Open
10_chapter 4.pdf724.81 kBAdobe PDFView/Open
11_chapter 5.pdf859.6 kBAdobe PDFView/Open
12_chapter 6.pdf88.53 kBAdobe PDFView/Open
13_references & publications.pdf445.73 kBAdobe PDFView/Open

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