In the Modern scenario, the naturally available resources for power generation are being depleted at an alarming rate; firstly due to wastage of power at consumer end, secondly due to inefficiency of various power system components. A Combined Cycle Gas Turbine (CCGT) integrates two cycles- Brayton cycle (Gas Turbine) and Rankine cycle (Steam Turbine) with the objective of increasing overall plant efficiency. This is accomplished by utilising the exhaust of Gas Turbine through a waste-heat recovery boiler to run a Steam Turbine. The efficiency of a gas turbine which ranges from 28% to 33% can hence be raised to about 60% by recovering some of the low grade thermal energy from the exhaust gas for steam turbine process. This paper is a study for the modelling of CCGT and comparing it with actual operational data. The performance model for CCGT plant was developed in MATLAB/Simulink.

This paper presents hybrid model predictive control-based automatic generation regulator design for dominant wind energy penetrated multisource power system. The other power generation sources hydro and thermal are also considered in each area. The proposed AGC regulator is designed for each independent area considering only local power system states to ensure the stability of closed-loop system under small perturbation. The performance of the proposed AGC regulator has been validated for 2% step load perturbation. Furthermore, system parameter is varied to 20% of nominal value to assess the robust performance of the regulator. Performance evaluation between the hybrid MPC, conventional MPC, and traditional AGC regulators considering the dominant participation of the DFIG wind turbines is presented to demonstrate the superior performance of the hybrid MPC AGC regulator.

Design of low power RF to DC generator for energy harvesting application

This Paper presents the design of decentralized automatic generation controller for an interconnected power system using PID, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The designed controllers are tested on identical two-area interconnected power systems consisting of thermal power plants. The area interconnections between two areas are considered as (i) AC tie-line only (ii) Asynchronous tie-line. The dynamic response analysis is carried out for 1% load perturbation. The performance of the intelligent controllers based on GA and PSO has been compared with the conventional PID controller. The investigations of the system dynamic responses reveal that PSO has the better dynamic response result as compared with PID and GA controller for both type of area interconnection.

In this paper we worked on Two-Wheel Inverted Pendulum (TWIP). It is highly non-linear, unstable and strong coupling system. Two wheel self balancing robot is based on this concept. During simulation, transfer function is displayed on MATLAB-2016 software. This all work is based on the study of various controllers on Two Wheel Self Balancing Robot (TWSBR). The model is designed on the basis of state space the Mathematical Modeling of Controllers ie LQG & MPC, is well designed and show the comparison in between these two controller. The basic aim of designing this paper is to originate an efficient controller to operate robot in real time environment. The designed LQG controller has better performance and the designed MPC has the best results.

This paper presents an innovative algorithm for transmission loss allocation in restructured power system. Algorithm utilizes the routing algorithm with minimum transmission loss path. This algorithm solves ac power flow then based upon the loss occurring in branches allocates losses to generators and loads. In addition, this algorithm identifies optimal location of DG placement, causing reduction in network losses. Simulation on 6-bus system network proves significant as compared to other existing methods. Results show significant improvement in reducing losses.