Pi Based Power Quality Enhancement Of Grid Connected Wind Energy System For Dc – Link Energy Storage System

The power quality of the inter connected grid is much effected due to the interconnection of non renewable energy sources like wind and solar systems. The drastic changes in their input effectively change the grid parameters. This paper provides a novel method for  power quality improvement of Grid connected wind energy system in which static compensator continuously monitors the line parameters like harmonics and reactive power .This paper utilizes the capabilities of PI tuned - hysteresis Controlling along with the energy storage system at the dc link. Finally using MATLAB/SIMULINK tool, at the grid point of common connecting line, power factor and Total Harmonic Distortions are much improved

Performance evaluation of different structures of power system stabilizers

The electric power from the system should be reliable and economical for consumer’s equipment satisfaction. An electric power system consists of many generators, transformers, transmission lines, loads, etc. For the power system network, dynamic performance and stability are important. The system is lost its stability by some disturbances i.e., load variations, generator failure, prime mover failure, transmission line outage, etc. Whenever load variations in the system, generator rotor speed will vary, means oscillations in the rotor speed, which is deviating from rated speed. The excitation system will control the generator rated line voltage. When fault occurs at any equipment in the system, the system will unstable. If fault occurs at generator, the generator oscillates. To reduce the oscillations and to make the system stable used power system stabilizers (PSS’s). Here, three types of PSS’s are used i.e., PSS1B, PSS2B, PSS4B. Comparisons of three PSS’s are on the multi machine system under some disturbance. From the observations, concluding that PSS4B is quickly control the oscillations in the physical parameters of machine in the system than other power system stabilizers

Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm

A novel optimization algorithm is proposed to solve single and multi-objective optimization problems with generation fuel cost, total power losses and voltage stability index as objectives. Fruit fly Algorithm (FFA) along with real coded Genetic Algorithm (GA) cross-over operation treated as Hybrid Fruit fly Algorithm (HFFA) is proposed to select best value as compared with existing single-objective evaluation algorithms and the proposed non-dominated sorting hybrid fruit fly algorithm (NSHFFA) is used for the multi-objective optimal power flow problem. A fuzzy decision making tool is used to select the best Pareto front from the total generated solutions by the proposed algorithm. The effectiveness of the proposed algorithm is analyzed for various standard test systems such as Booth’s function, Schaffer 2 function and IEEE 30 bus system. The obtained results using proposed algorithm are compared with the existing optimization methods. The results reveal better solution and computational efficiency of the proposed algorithm

Impact of Device-to-Device Thermal Interference Due to Self-Heating on the Performance of Stacked Nanosheet FETs

The stacked nanosheet field effect transistor (SNSHFET) exhibits superior electrostatic performance with its increased effective channel width. However, as the technology node progressing towards angstrom dimensions, self-heating became one of the major challenges in SNSHFETs due to their confined geometry. The self-heating impacts not only the respective device, but also its contiguous device on the same substrate. In this paper, the thermal impact of heat stacked nanosheet FET (He-FET) on proximal cool stacked nanosheet FET (Co-FET) is studied at 7 nm technology node. Thermal impact on DC and analog/RF performance of Co-FET is deliberated by varying the inter-device spacing (IDS) and shallow trench isolation (STI) depth between the two stacked nanosheet FETs. It has been observed that, self-heating induced thermal energy of He-FET shows more impact on the bottom channels compared to the top channels in the Co-FET. The electron mobility is reduced by 4.25% in the channel near to the substrate compared to the channel near to contacts. The transit frequency (fT) and the maximum oscillation frequency (fmax) of 131.5 GHz and 435 GHz were obtained, respectively with the optimization of IDS of 30 nm and STI depth of 50 nm

Multi-objective optimization in the presence of practical constraints using non-dominated sorting hybrid cuckoo search algorithm

A novel optimization algorithm is proposed to solve single and multi-objective optimization problems with generation fuel cost, emission, and total power losses as objectives. The proposed method is a hybridization of the conventional cuckoo search algorithm and arithmetic crossover operations. Thus, the non-linear, non-convex objective function can be solved under practical constraints. The effectiveness of the proposed algorithm is analyzed for various cases to illustrate the effect of practical constraints on the objectives' optimization. Two and three objective multi-objective optimization problems are formulated and solved using the proposed non-dominated sorting-based hybrid cuckoo search algorithm. The effectiveness of the proposed method in confining the Pareto front solutions in the solution region is analyzed. The results for single and multi-objective optimization problems are physically interpreted on standard test functions as well as the IEEE-30 bus test system with supporting numerical and graphical results and also validated against existing methods