Power System Engineering Rk Rajput Pdf

[Angelique Syria]

Thefame of electric vehicle is expanding quickly and liable to have a proceeded with nearness in light-vehicle showcase in the following couple of decades. EVs are ascribed to the investment funds in fuel costs contrasted with the traditional Internal Combustion Engine (ICE) vehicles yet EVs charging will put an additional weight on the circulation lattice and changes should be made now and again. Then again, EVs can possibly bolster the framework also. This paper exhibits the calculated structure to effectively coordinate EVs into electric power frameworks and different issues including Battery and Ultra capacitor issues, charging issues, reconciliation issues. The proposed system additionally covers two unique areas: the matrix specialized task and the power markets condition.

The departmental faculty has established a process to periodically review and revise its two programs' educational objectives after obtaining feedback from its primary constituent groups. The faculty also is committed to teaching professional and ethical responsibility by example and by practice. The active sponsored research activities of the faculty ensure the program curricula remain contemporary and motivate the need for life-long learning.

Technical electives provide the student an opportunity to achieve a greater breadth of knowledge and some degree of specialization in selected areas of special interest. Electives are offered in both electrical engineering and computer engineering application areas.

Each academic major has determined the courses that fulfill the Digital Literacy requirement for that major. Students should contact their major department(s) to determine which courses will fulfill their Digital Literacy requirement.

The Florida Virtual Campus (FLVC) houses the statewide, internet-based catalog of distance learning courses, degree programs, and resources offered by Florida's public colleges and universities, and they have developed operational procedures and technical guidelines for the catalog that all institutions must follow. The statute governing this policy can be reviewed by visiting

Specific prerequisites are required for admission into the upper-division program and must be completed by the student at either a community college or a state university prior to being admitted to this program. Students may be admitted into the University without completing the prerequisites but may not be admitted into the program.

All candidates for Bachelor of Science in Electrical Engineering (BSEE) and Bachelor of Science in Computer Engineering (BSCpE) are required to complete a total of seventy-six semester hours of common required courses, of which twenty-one hours are English, social science, and humanities courses; thirty-three hours are engineering core courses (listed below); and twenty-two hours are common electrical and computer engineering courses (listed below).

Any EEL or EEE prefixed course which is not required is considered an Electrical Engineering (EE) technical elective with the exception of EEL 3003 and EEL 3003L. Refer to the ECE Department Website ( ) or consult with the Department for information on available ECE technical electives.

The non-EE technical elective must be selected from a list of departmentally approved courses offered by other departments at Florida State University. Courses not on the list may be taken with prior approval of the department.

Any EEL or EEE prefixed course which is not required is considered a Computer Engineering (CpE) technical elective with the exception of EEL 3111, EEL 3112, and EEL 3112L. Refer to the ECE Department Website ( ) or consult with the Department for information on available EE technical electives.

The non-CpE technical elective must be selected from a list of departmentally approved courses offered by other departments at Florida State University. Courses not on the list may be taken with prior approval of the department.

With the adoption of ABET EC-2000 policies, program requirements, educational objectives, course content and offerings, and departmental policies are subject to periodic revision and change. Students are strongly urged to obtain current information from their academic advisor, the academic coordinator, or by visiting the departmental Website at

EEE 4288. Biomimetic Sensors and Signal Processing (3). Prerequisite: EEL 3135. In this course, biomimetic implies the mimicry of biology. This course covers biologically-inspired structure and function concepts used for novel sensor designs and signal processing. Cursory descriptions of biological phenomena are followed by electronic sensor designs and natural signal processing algorithms. This course focuses on natural sensory systems and innovative engineering applications inspired by them.

EEE 4450. Modeling and Simulation of Semiconductor Devices (3). Prerequisite: EEE 3300. This course covers various numerical techniques for the modeling and simulation of semiconductor devices, such as pn-junctions, metal-oxide semiconductor contacts, metal-oxide-semiconductor field effect transistors, and bipolar devices. Special emphasis is on the description and simulation of electron and hole transport in semiconductor devices.

EEE 4510. Digital Signal Processing (3). Prerequisite: EEL 3135. This course covers topics such as sinusoids, periodic signals, and Fourier spectra. Sampling of continuous-time signals, aliasing. Impulse response of linear, discrete-time systems, convolution. FIR filters and implementation. Frequency response of FIR filters. Z-transforms. IIR filters, poles and zeros, frequency response. Realization of IIR filters. Discrete Fourier transform and the FFT algorithm. MATLAB exercises are assigned.

EEE 4773. Machine Learning (3). Prerequisites: EEL 3135, MAS 3105, knowledge of Matlab and/or Python, and instructor permission. This course is designed for senior undergraduate students from engineering disciplines and introduces students to the theory and engineering applications of machine learning including neural networks, fuzzy logic, genetic algorithms, supervised and unsupervised learning algorithms. This course places emphasis on engineering applications in controls, power systems, and robotics.

EEL 3002L. ECE Engineering Tools Lab (2). Corequisite: EEL 3111 (C- or better). This is an introductory laboratory for students entering the electrical and computer engineering programs. The basic topics include: lab safety issues; solving engineering problems using software tools such as MATLAB and Mathematica; electric circuit simulations using c software packages such as Multisim and OrCAD; electric circuit design and instrumentation; the proper use of test and measurement equipment.

EEL 3705L. Digital Logic Laboratory (1). Corequisite: EEL 3705. This laboratory supports EEL 3705. This course introduces Electrical and Computer Engineering majors to various practical aspects of Digital Logic. This includes analysis, design and testing of digital logic circuits. Design and implementation are covered using Altera devices.

EEL 4217L. Power and Energy Lab (1). Prerequisite: EEL 3216. This course is intended to give the student practical experience with motors, generators, transformers and power system instrumentation equipment. Students learn the principles of electromechanical energy conversion by connecting, operating, and controlling induction, synchronous, and dc machines. Transport of electrical energy through transmission lines is also explored.

EEL 4243. Power Electronics (3). Prerequisites: EEE 3300 and EEL 3135. This course is designed to develop a basic understanding of using switched electronic circuits for the conversion and regulation of power. The course focuses on the basic converters and their steady state analysis. Dynamic modeling analysis, controller design, power semiconductor device, and simulation also are covered.

EEL 4244. Power Conversion and Control (3). Prerequisites: EEE 3300 and EEL 3112. This course introduces solid-state power conversion and control circuits, including analysis and design of nonlinear multiple-phase circuits with sinusoidal and non-sinusoidal variables; constant-frequency and variable-frequency input conversions; variable-frequency inverters; sensing and processing circuits supporting control systems; and embedded microprocessor control systems.

EEL 4280. Renewable Energy Generation I (3). This course is an introduction to renewable energy generation. Topics covered include smart grid system, hybrid electric vehicle, and grid-connected PV inverters. Emphasis is placed on the energy conversion techniques applied in the renewable energy source and energy storage elements.

EEL 4281. Photovoltaics (3). Prerequisites: EEE 3000. This course educates students in the design and applications of solar energy technology. This course focuses on theoretical fundamentals of solar energy conversion, types of solar cells and their operations, optical engineering, and energy storage and distribution systems. The course covers solar energy needs, current trends in photovoltaic energy engineering, solar cell material science, design and installation of solar panels for residential and industrial applications and connections to the national grid and cost analysis of the overall system.

EEL 4282. Renewable Energy Generation II (3). This course is an introduction to renewable energy generation. Topics covered include smart grid system, hybrid electric vehicle, and grid-connected PV inverters. Emphasis is placed on the energy conversion techniques applied in the renewable energy storage elements.

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