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Researcher: Banaja Mohanty
Guide(s): Prof.(Dr.) P.K.Hota
Keywords: Automatic Generation Control (AGC); Multi-area power system; Governor dead-band (GDB); Generation rate constraints (GRC); HVDC link; load frequency controller (LFC) ; area control error (ACE); Proportional-Integral-Derivative (PID) controller; proportional- integral controller (PI); integral controller (I); Differential Evolution (DE) algorithm; Bacteria Foraging Optimization Algorithm (BFOA); Particle Swarm Optimization (PSO). Independent system operator (ISO); variable structure controller (VSC).
University: Veer Surendra Sai University of Technology
Completed Date: 
Abstract: newline Electric power systems form the largest complex system. It consists of generation, transmission and distribution systems. The main goal of power system is to meet the load demand satisfying the relevant system constraints. For a stable operation of the system, both frequency and tie-line power should be maintained within the nominal values. This problem is known as AGC or LFC. Many a researchers work on AGC problem and contribute valuable research reports from time to time. Several control strategies have been investigated to improve performance of interconnected power systems. The main goal of this thesis is to develop some more accurate and efficient methodologies for solving LFC problem in cases of multi area power system with nonlinearities, multi area power system considering nonconventional sources, multi area power system in deregulated environment, and multi area power system using hybrid algorithm. Considering the present scenario, renewable energy sources are used in power system. Gas-fueled unit along with hydro-thermal units can be taken as a control area. In power system, as there is transition from traditional to deregulated environment, problem of LFC with renewable sources in deregulated power system is studied. Different optimization techniques are considered to optimize different classical controllers to improve system performance for both conventional and deregulated AGC system. Robustness of developed controllers and different used heuristic optimization algorithms is studied with wide range of variation in system parameters and loading conditions.
Appears in Departments:Department of Electrical Engineering

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annexure.docxAttached File24.67 kBMicrosoft Word XMLView/Open
appendices.docx163.02 kBMicrosoft Word XMLView/Open
chapter1.docx30.32 kBMicrosoft Word XMLView/Open
chapter2.docx558.82 kBMicrosoft Word XMLView/Open
chapter3.docx442.2 kBMicrosoft Word XMLView/Open
chapter4.docx465.04 kBMicrosoft Word XMLView/Open
chapter5.docx469.12 kBMicrosoft Word XMLView/Open
chapter6.docx25.06 kBMicrosoft Word XMLView/Open
contents.docx21.3 kBMicrosoft Word XMLView/Open
list of figures.docx19.95 kBMicrosoft Word XMLView/Open
references.docx31.84 kBMicrosoft Word XMLView/Open

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