Teaching

The objective of the Power System course is to equip students with a comprehensive understanding of the analysis, design, operation, and control of modern power systems. It emphasizes developing skills to ensure reliable, efficient, and sustainable delivery of electrical power. 

Power Systems Evolution of Power Systems, Energy Sources Structure of Bulk Power Systems Basic three phase system concepts Power System Components: Generators, Loads, Transformers, Transmission Lines etc.; Modeling of Short, Medium, and Long Transmission Lines; Solution of steady state equations for interconnected systems: Balanced and Unbalanced systems. Positive Sequence Network, Per Unit System, Y-bus formation Simple example of a load flow solution; Introduction to generator swing equations and stability issues, Simple Example of Loss of synchronism Interconnected System Operation and Control: Operational Objectives, Frequency Control, Voltage Control and Power Flow Control: Analysis of Faulted Power Systems and Protection: Unbalanced System Analysis using Sequence Components. 

The objective of the Control System course is to provide students with fundamental knowledge of modelling, analysis, stability, and control of dynamic systems using classical and modern control techniques

Introduction to open-loop and closed-loop systems, feedback/feedforward control, transfer functions, poles and zeros, and system modelling techniques. Block diagram reduction, Mason’s gain formula, and analogous systems. Time response analysis of first- and second-order systems, steady-state response, performance indices, effect of zeros, and MATLAB simulation. Stability analysis using BIBO stability, Routh–Hurwitz criterion, Root Locus, and Root Contour methods. Frequency response analysis using Polar, Bode, and Nyquist plots, relative stability, gain/phase margins, non-minimum phase systems, and transportation lag. Design of lead, lag, and lead-lag compensators, PID controllers, and simulation studies. State-space analysis including controllability, observability, state feedback, observers, eigenvalues, state transition matrix, and MATLAB simulation.

The objective of the Digital Control course is to provide students with fundamental knowledge of analysis, modelling, stability, and design of discrete-time and digital control systems using modern control techniques and simulation-based approaches.

Introduction to discrete-time systems and signals, difference equations, Z-transform, discrete transfer functions, and FIR/IIR filter design. Sampling, reconstruction, aliasing, DFT, sample-and-hold operation, discretization methods, and frequency response analysis. Stability analysis of discrete systems using pole location, Jury’s criterion, bilinear transform, convolution sum, and MATLAB simulation. State-space modelling including minimal realization, controllability, observability, state feedback, observers, and MIMO systems. Digital controller design including PID control, dead-time modelling, PLC, stepper motor control, and deadbeat control. Introduction to fuzzy control, fuzzy inference systems, and genetic algorithms.

The primary objective of this laboratory is to provide students with a dynamic and interactive learning environment to explore fundamental electrical engineering concepts through practical experiments and projects. The experiments and activities in this laboratory include:

Implementation of Gauss–Seidel and Newton–Raphson load flow methods using MATLAB programming. Formation and analysis of Y-bus and Z-bus matrices. Simulation of symmetrical and unsymmetrical faults including LG, LL, LLG, and three-phase faults in MATLAB programming. Experimental studies on protective relays, circuit breakers, overcurrent protection, distance protection, differential protection, and transformer/generator protection schemes. 

The primary objective of this laboratory is to provide students with a dynamic and interactive learning environment to explore fundamental electrical engineering concepts through practical experiments and projects. The experiments and activities in this laboratory include:

1. Understanding the operation and applications of the Cathode Ray Oscilloscope (CRO).

2. Verification of Kirchhoff's Current Law (KCL), Kirchhoff's Voltage Law (KVL), and various network theorems.

3. Analysis of step and transient responses in RL, RC, and RLC circuits.

4. Study of the steady-state response of electrical circuits under sinusoidal excitation.

5. Diode-based experiments, including clipping, clamping, and rectification.

6. Implementation of basic circuits using operational amplifiers (op-amps).

7. Performing Open Circuit (OC) and Short Circuit (SC) tests on transformers.

8. Observation of the B-H loop characteristics in an iron core.

9. Examination of the operational principles of DC and AC motors (observation only).

10. Development of a small-scale mini-project to integrate and apply the learned concepts.

This laboratory is designed to complement theoretical knowledge with practical exposure, fostering critical thinking and problem-solving skills among students at IIT Bhilai.

The objective of the Renewable and Distributed Energy Systems course is to provide students with fundamental knowledge of renewable energy technologies, distributed generation systems, grid integration, modelling, control, and sustainable energy applications. 

Introduction to energy resources, energy economics, sustainable development, and renewable/non-renewable energy sources. Wind energy conversion systems including wind resource modelling, aerodynamic characteristics, generator modelling, pitch control, and grid interaction. Solar photovoltaic systems covering steady-state and dynamic modelling, MPPT techniques, grid-connected converters, inverter control, synchronization, and distributed generation integration. Introduction to microgrids and distributed energy systems. Fuel cell systems including equivalent circuit modelling and applications. Mini, micro, and small hydro systems, hydro turbines, generators, and control techniques for renewable energy applications. 

To provide hands-on experience in analysis, design, simulation, and implementation of classical and digital control systems.

Experimental analysis of time and frequency response characteristics, transient response, system parameters, and stability margins. Modelling and control of DC motors for speed and position control applications. Design and analysis of electronic compensators and analogous systems. PLC programming including basic instructions, sequencing operations, and industrial case studies. Dynamic stability control experiments on cart-pendulum and magnetic levitation (Maglev) systems. Digital control experiments involving state feedback, state observers, and control system evaluation using simulation and hardware implementation tools.

This course builds upon foundational knowledge of circuit theory and electrical engineering principles. It is designed for students with prior experience in basic circuit analysis, including Ohm’s law, Kirchhoff's laws, and elementary AC/DC circuit concepts. 

This course delves into advanced circuit analysis, exploring transient and steady-state responses of RL, RC, and RLC circuits, three-phase systems, and resonance phenomena. Students will learn to apply Laplace transform techniques and Fourier series to circuit analysis, examine magnetically coupled circuits, and analyze two-port networks. Frequency response, ideal filters, and system modeling are also covered. Emphasis is placed on practical applications, with topics including real, reactive, and apparent power differentiation, phasor-domain conversions, and solving first and second-order differential equations. By the end, students will have mastered key analytical techniques for complex circuit systems.