Talha A. Taj

Network Intrusion Detection and its strategic importance

In computer network security, a Network Intrusion Detection (NID) is an Intrusion Detection mechanism that attempts to discover unauthorized access to a computer network by analyzing traffic on the network for signs of malicious activity. There are many areas of research in this vast field of Network Intrusion Detection (NID) but in this survey paper, we will focus on its technology, development & strategic importance. Virus attacks, unauthorized access, theft of information and denial-of-service attacks were the greatest contributors to computer crime, a number of techniques have been developed in the past few years to help cyber security experts in strengthening the security of a single host or the whole computer network. Intrusion Detection is important for both Military as well as commercial sectors for the sack of their Information Security, which is the most important topic of research for the future networks.

Modeling of a standard Particle Swarm Optimization algorithm in MATLAB by different benchmarks

Optimization techniques are getting importance in control and power system of sustainable energy technologies. Particle Swarm Optimization is aversatileoptimizing technique. Due to its diversity, it attracts many researchers to modify the algorithm itself and scrutinize different parameters to get precisely optimized results. PSO plays a vital role for finding solutions for continuous optimization problems and also acts as an alternative for global optimization. The designing of standard PSO is defined in this project which has been taken into account by the latest research and developments, and is used as a guideline for performance testing by different functions. The benchmarks we used are Sphere, Ackley, Rosenbrock, Schewfels 2.26 and Rastrigin. We implemented the original algorithm, and obtained optimized results for every function and plot the graphs against Global best value and Function evaluation.

Dynamic performance enhancement of a grid-connected wind farm using doubly fed induction machine-based flywheel energy storage system

This paper presents the dynamic performance enhancement of a wind farm connected to an IEEE-39 bus New England test system using doubly-fed induction machine (DFIM)-based flywheel energy storage system (FESS). The variable wind speed causes fluctuations in the output power of the wind farms. The use of FESS smoothes the power of the wind farm and improves the dynamic response of the system during fluctuating wind speeds. A DFIM-based FESS is proposed in this study which works on an effective control technique. The cascaded black-box optimization technique based proportional-integral (PI) control strategy is implemented on the FESS. The PI controllers are used to control the insulated gate bipolar transistor (IGBT) based rotor side converter (RSC) and the grid side converter (GSC) of the DFIM. The PI controller In-depth modeling and control strategy of the system under study is presented. The effectiveness of the proposed system is tested under real-time wind speed data. The validity of the system is verified by the simulation results which are carried out using PSCAD/EMTDC.

Evaluation of an improved Particle Swarm Optimization algorithm on MATLAB

An improved Particle Swarm Optimization(IPSO) algorithm is proposed in this paper. In the algorithm instead of using inertial weight and the particles velocity, two new factors are introduced, gamma which changes itself with respect to the number of iteration currently in progress. Gamma has a certain range which is a function of iteration; in our case it ranges from 0.94 to 0. A premature estimate mechanism is implemented so that after every iteration a new value of the gamma changes itself. Here the concept of the occurrence probability is also introduced and its values is set as 0.05. The benchmarks we used to check the algorithm are Sphere, Ackley, Rosenbrock, Schewfels 2.26 and Rastrigin.

Transient stability improvement of a grid-connected wind farm using doubly fed induction machine based flywheel energy storage system

This paper presents the transient stability improvement of a grid connected wind farm using doubly-fed induction machine (DFIM) based flywheel energy storage system (FESS). The control strategy of the FESS relies on a frequency converter with insulated gate bipolar transistors (IGBTs) using cascaded proportional-integral (PI) controllers. These PI controllers are used to control the rotor side converter (RSC) and the grid side converter (GSC) of the DFIM. The detailed modelling and the control strategy of the system under study are investigated. The effectiveness of the proposed control strategy is tested under a severe symmetrical fault condition. The validity of the system is verified by the simulation results which are carried out using PSCAD/EMTDC environment.

MATLAB simulation of a multi-level speed control system of a 6/4 SRM using PI controller

The speed control of a switch reluctance motor (SRM) using feedback control method with the help of a proportional integral (PI) controller is presented in this paper. The paper proposes the design of a PI controller for a 6/4 SRM under different load conditions. The control mechanism is designed such that the motor runs at half of the rated speed for first few cycles and then attains the rated speed for the remaining cycles. The values of the controller gains Kp, Ki are tuned in such a way that the rated speed is maintained under different operating conditions. MATLAB Simulink is used to illustrate the simulation results for the motor at zero, half and full load conditions. The simulation results are compared and analyzed.

Improving the dynamic performance of a grid-connected wind energy conversion system using flywheel energy storage system

This paper presents the dynamic performance improvement of a wind energy conversion system (WECS) connected to a single machine infinite bus system using doubly-fed induction machine (DFIM)-based flywheel energy storage system (FESS). The continuously varying wind speed causes instabilities in the output power of the WECS. The use of FESS improves the dynamic response of the system and smoothes the output power of the WECS and during variable wind speeds. A DFIM-based FESS is proposed in this study which works on the cascaded black-box optimization technique based proportional-integral (PI) controller. The PI controllers are used to control the insulated gate bipolar transistor (IGBT) switches of the frequency converter. In-depth modeling and control strategy of the system under study is presented. The effectiveness of the proposed system is tested under real-time wind speed data. The validity of the system is verified by the simulation results which are carried out using PSCAD/EMTDC.