Electrical and Electronics

This paper proposed the Proportional Integral Derivative (PID) type multiple stabilizers to damp inter-area and intra-area low frequency oscillations in power system utility. To improve power system stability, optimal tuning of the PID type stabilizer gains and non-smooth nonlinear parameters is importance and a challenging task to accommodate variations in the power system dynamics, mainly when multiple PSSs are applied. Because, it is a computationally expensive combinational and nonlinear optimization problem. In this paper, Elitist Gravitational Search Algorithm (EGSA) is proposed to optimize multiple PID type PSSs gains tuning problem, simultaneously in order to reduce stabilizer design effort and find the best possible solution. The EGSA is a novel meta-heuristic stochastic optimization algorithm and simulates the masses cooperate using a direct form of communication through gravitational force to find the best possible solution within a reasonable computation time. It provides both global and local search by changing the velocities over time to determine distance and direction of agents (masses) for significant increasing the probability of finding the optimal solution and efficiently avoiding local optimum to a large extent. To optimize of multiple PSSs gains a nonlinear time domain-based objective function under various operating conditions is considered. It is solved using EGSA technique that has strong and robust search capability than the other heuristic optimization algorithm, as well as is being easy to implement. The effectiveness of the proposed EGSA based stabilizers is investigated on a two-area four machine power system through the nonlinear time domain simulation and some performance indices under different operation condition and system configurations. The performance of the proposed stabilizer is compared with those of standard Particle Swarm Optimization (PSO) and PSO with time variant acceleration coefficients based designed PSSs to illustrate its robustness and damping quality. The results analysis reveals that the EGSA based tuned PID type PSS is effective and achieves good low frequency oscillations damping capability. Moreover, it is superior that of the PSO method in terms of accuracy, convergence and computational effort.

In order to increase the reliability and efficiency of distributed micro-generation a modular grid-connected inverter system is proposed. It consists of a modular DC-DC converter and modular DC-AC converter. Output of the DC-DC converter and input of the DC-AC inverter is connected with a DC bus. The By using the DC-DC converter voltage can be stepped up and Maximum power point tracking can be achieved In this system no transformer is used in the inverter side to inject the voltage into the grid. Here the Voltage is injected in the grid using inductor filter. The practicability of the proposed system has been verified by simulation results and hardware.

In this paper, a new ultra low power digital linear phase ?nite Impulse Response (FIR) filter based on parallel architecture of Multiplication and Accumulation (MAC) with a new logic approach by Pass-Transistor Logic(PTL) is presented, PTL as an alternative logic that can enhance the design performance since PTL can transformation signals using either the source or drain and the gate. This multiplier is include three blocks booth encoder, new signed shifter and addition block. Booth encoder and shifter block are completely based on multiplexers (2-to-1). We tried to use low power design methods both in gate level and transistor level to reach minimum hardware and power consumption other resons for reduce power consumption are use D-Flip-Flop’s aim at glitch and charge sharing free structures, low power energy recovery full adder cells has been used in adders, also for increase speed, two parallel MAC are utilized. Simulation has been carried out by HSPICE in 0.18µm bulk technology at 1.8v supply voltage. Power consumption is 55uw at 100Mhz.

This paper presents a model of an electric vehicle based on the utilization of solar energy and electricity. Battery driven inverter is used to feed the single phase induction motor. The speed of the induction motor is controlled through voltage regulator using TRIAC. This model presents a new concept of hand driven electric vehicle with use of solar energy to charge the battery of the inverter.This vehicle being hand driven makes it applicable for physically handicapped people.

The modeling of a parallel ferroresonant circuit leads to a single-phase model formed of many elements, which of course translates into a large number of state variables, and therefore of high dimension. We show how it is possible to gradually reduce the adopted model dimension while retaining certain characteristic quantities which seemed important for the ferroresonance study; and validate the different approximations made. Different results temporal and frequency obtained numerically on the developed models (simulating parallel ferroresonance real cases), are presented and commented. We confirm that the parallel ferroresonance is sufficiently represented qualitatively by a reduced model of dimension three.

This paper presents a digital method to develop the three phase voltage source inverter control unit using field programmable gate array (FPGA) based digital Space Vector Pulse Width Modulation (SVPWM) algorithm. In this paper the complicate equations of SVPWM algorithm are simplified to effortless instructions such as shift, addition and subtraction operands in the proposed digital design. Furthermore low power digital circuit to make FPGA based SVPWM control is implemented. The achieved dynamic power consumption is about 63 mW in FPGA clock frequency of 100 MHz. The proposed digital SVPWM was synthesized and implemented using Xilinx ISE and Virtex IV FPGA, with target device XC4VFX100. Also power is analyzed using XPower analyzer. The simulation results demonstrate that proposed method has reduced power consumption.

Adders are the most vital part of any digital system. Providing an efficient adder design which satisfies the tradeoff between speed and space aides in increasing the performance of the system. parallel prefix adders are the ones widely used in digital design. This is primarily because of the flexibility in designing the adders. Brent kung adder is low power adder, as it uses minimum circuitry and also decrease the speed and memory to obtain the result. The 16-bit design is extended to 32-bit, implemented in the physical level.

In this Paper a new Max. Power point tracking algorithm is used for PV array. The algorithm which is based on the mathematical calculation based MATLAB used to detect the max. Power point. Software (PSIM, MATLAB) dedicated to the simulation of the photovoltaic system can realize the extensive and precise analysis, but they are generally do not allow the modify the algorithm. Software includes the models of the solar panels, battery and investor, solar radiation.

Wireless Sensor Network has a growing demand worldwide. This network plays a vital role in creating reliable and scalable system making human life easier and faster. WSN is a sensitive network which is effective and efficient. In this paper we have implemented WSN for keeping regular updates on a health of a machine and its control. For wireless communication purpose Zigbee protocol is deployed. Required algorithms have been developed allowing evaluation of additional parameters using data from measurements held.

This paper presents sizing and control methodologies for a lead-acid flow battery-based energy storage system fed by Solar Photovoltaic system. The results show that the power flow control strategy does have a significant impact on proper sizing of the rated power and energy of the system. This paper focuses on the development of a control strategy for optimal use of the battery storage system through sliding mode controller. The effectiveness of this control strategy has validated through experimentation.