Loss Distribution Methodology with a Sense Of Emission Dispatch
Low Power Optimization Technique Based Linear Feedback Shift Register
Leakage Power Reduction Using Multi Modal Driven Hierarchical Power Mode Switches
Validation of IOV chain using OVM Technique
Performance of Continuous and Discontinuous Space Vector Pwm Technique for Open End Winding Induction Motor Drive
Electronic Circuit Design for Electromagnetic Compliance through Problem-Based Learning
Trioinformatics: The Innovative and Novel Logic Notation That Defines, Explains, and Expresses the Rational Application of The Law of Trichotomy for Digital Instrumentation and Circuit Design
Design Of a Novel Gated 5T SRAM Cell with Low Power Dissipation in Active and Sleep Mode
A Two Stage Power Optimized Implantable Neural Amplifier Based on Cascoded Structures
An Efficient Hybrid PFSCL based Implementation of Asynchronous Pipeline
The target of this work is to make optimize the gains in Proportional Integral (PI) and Proportional Integral Acceleration (PIA) controllers for Switched Reluctance Motor (SRM) drive system by using two different optimization methods. The methods are Harmonic Search (HS) and Teaching-Learning Based Optimization (TLBO). The Model of SRM can be easily represented with its controllers in Matlab/Simulink which gives the advantage to show the performance simulation of the machine illustrated by figures and also the effect of the load on the motor. As mentioned before, two controllers are used here. First one is the classical Proportional Integral controller (PI). The PI is the common and simple method used for controlling the feedback signal and it is used in the SRM drive system to control both speed and current. The second controller is Proportional Integral Acceleration controller (PIA). The PIA controllers have a good performance with the third order applications. The results prove the superiority of PIA than the classical controller. Results determine that the TLBO optimization method get better results than the HS method. Finally, comparison with previous work is carried out to verify the efficiency of presented methods. The comparison is applied at several loading conditions and the presented work proves its superiority and efficiently under all loading conditions studied.
Now-a-days, renewable energy sources have gained a lot of importance which reduces the greenhouse gas emission and fossil fuel pollution [19]. Renewable energy is not stable and it does not give firm output power. Power grids face a major transformation for integrating renewable energy sources for the improvement of energy efficiency and allowing consumers for more control over the consumption of their energy. Renewable energy bases such as wind-turbine and photovoltaic power generators has an impact on the stability due to the variations in their outputs because of change in weather conditions. Especially the solar energy is available in day time and not in night time. To overcome the variation of output powers from wind and solar, a proper energy storage system is required. The energy storage gains lot of importance in future power supply due to increased renewable sources [5], [22]. Due to continuous demand for smart technology implementation such as batteries with renewable sources will become huge economic progress [8]. In this paper, a 25 KW BESS (Battery Energy Storage System) is considered as a countermeasure for the above mentioned contention. BESS requires bidirectional converters (AC-DC & DC-AC), here converter efficiency is to be improved for increasing the efficiency of the BESS. The performance of 25 KW converter for BESS by using novel multi inverter topology, which is estimated to be a disparate convertor topology for improving the performance and efficiency of the BESS. Finally, the results are simulated for the voltage controlled multi inverter topology at different loads, grid power, load sharing at charging, and discharging conditions are also conferred.
This paper summarizes the overview about the microgrid and the adaptive protection of the microgrid by using advance relay. Microgrid is a combination of interconnected loads, distributed energy resources (like PV cell, combine heat and power, wind energy, small hydro, etc.), and the storage unit (i.e. battery) within clearly defined electrical boundaries that acts as a single controllable entity with respect to the grid. In adaptive protection scheme, relay changes its settings automatically when microgrid changes its operational state because the level of fault current is different in both working mode. The value of fault current is high in grid connected mode so the relay settings must be high and the fault current value is less in island mode, therefore the relay setting is less compared to the grid connected mode. Microgrid can operate in two modes, i.e. grid connected mode and islanded mode. A microgrid which has three switchboards (each switchboard has a generation unit and load) is designed and adaptive protection is implemented on it in Matlab/Simulink. The source of energy is wind in the entire generation unit and load is resistive of same power. Two fault locations have been taken into account in both the operating modes and the smallest portion of the load has been disconnected during fault time. Results of six cases have been discussed in both the fault locations and the status of microgrid circuit breaker is shown in the event table.
The requirement of electricity demand has been growing day-to-day. Due to this, the transmission lines become overloaded. So that, it is very essential to monitor the flow of power within the standard limits and the safety operation. A new and cost effectual voltage source converter based FACTS converter has been proposed to control the transmission power flow. in this paper, Distributed Power Flow Controller is used to control the transmission power flow. The main objective of this work is to eliminate the low-frequency oscillations by proper designing of damping controller in DPFC. In order to explore the parameters, PI controller and fuzzy logic controllers are used. After comparing the results it can be proved that the Distributed-PFC with the advantageous design can efficiently improve the performance of the system more effectively when compared with other control techniques.
The nonlinear nature of the system behavior has several disturbances due to which the stability of the system gets affected. Controlled operation of power systems is very critical and the most important factor is to achieve stable power system. For this reason, there is a need of different adaptive control techniques. Therefore, for obtaining lesser modeling error in the system, different intelligent control techniques are used, which improves the power system operation. PID controllers are most commonly used as it is simple in operation. Therefore, several tuning techniques like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA) are being used for the optimum setting of PID controller parameters so as to improve the system stability. In this paper, the performance of different PID controller techniques is compared for four error minimization methods and is being applied to the load frequency control model that helps to identify optimum controller for an individual
