PV-grid Performance improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking
A Digital Healthcare Monitoring System with Real-Time Analysis
Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency
Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends – A Review
GTO Technique Based Hybrid Power System Controller Design
Design and Development Of Paddy Cutter Using Solar Energy
Design Of Double-Input DC-DC Converter (DIC) Solar PV-Battery Hybrid Power System
Comparison of Harmonics, THD and Temperature Analysis of 3-Phase Induction Motor with Normal Inverter Drive and 5-Level DCMI Drive
Application of Whale Optimization Algorithm for Distribution Feeder Reconfiguration
Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform
The Modeling of Analogue Systems through an Object-Oriented Design Method
Circuit Design Techniques for Electromagnetic Compliance
A Technological Forecast for Growth in Solid-State Commercial Lighting using LED Devices
Testing of Analogue Design Rules Using a Digital Interface
Simulation and Transient Analysis of PWM Inverter Fed Squirrel Cage Induction Motor Drives
India's energy consumption has been increasing rapidly. Conventional energy resources (coal, gas, petroleum, etc.) are exhaustive in nature. Renewable energy introduces to energy resources that include solar, wind, and geothermal energy that renovate it. Solar energy is the fastest growing energy resources in India. Rajasthan has a massive potential of energy which comes from sun. The atmospheric condition of Rajasthan makes it absolute for efficient solar energy generation. Rajasthan has semi-arid climate. Thar desert covers the 66.67% of complete area of Rajasthan. The climatic condition of Rajasthan causes it suitable to undergo approximately 298-330 bright days per year and 6.1 to 6.5 kwh/m2/sun radiations per day. The average atmospheric temperature of Rajasthan is between 35 to 41 degrees and in summer days, it crosses above 45 degrees. Rajasthan has a potential of producing 100,000 MW of electricity yearly. Till January, 2016, the solar energy generation capacity is of 1264.35 MW which makes Rajasthan first position in India. In this paper, the authors summarize the availability, current status, target, and problems in solar energy in Rajasthan.
Proton conducting nano-composite polymer gel electrolytes containing Polymethylmethacrylate (PMMA), Benzoic Acid (BA), Ethylene Carbonate (EC), Propylene Carbonate (PC), Dimethylformamide (DMF), and nano-sized Alumina (Al O ) 2 3 have been prepared and characterized by electrochemical impedance spectroscopy. The effect of donor number of solvent used and nano-sized alumina on ionic conductivity of gel electrolytes has been studied. Maximum room -4 temperature conductivity of 1.83 x 10 S/cm for nano-composite polymer gel electrolytes at 7 wt% concentration of Al O along with good mechanical stability has been obtained. Two conductivity maxima have been observed with the 2 3 addition of nano-sized alumina. First maximum at low Al O concentration has been explained due to the enhanced 2 3 dissociation of undissociated acid/ion aggregates, whereas second maximum at high concentrations is due to formation of a high conducting interfacial layer between nano-particles and polymer gel electrolytes. The variation of conductivity with temperature and time has also been studied to check the stability of electrolytes. The change in conductivity with temperature is very small, which is desirable for their use in various electrochemical devices.
A hybrid solution technique involving Priority List Method and Particle Swarm Optimization with time varying acceleration coefficients has been envisaged to solve Unit Commitment Problem for a generation system involving wind generation and solar generation in conjunction with conventional thermal power plants, for given load pattern. The costs obtained for two cases, one with only thermal generation, while the other with the renewable generations in conjunction with the thermal power plants. The availability of renewable energy resources have been duly taken care. The comparison between both the cases establishes a substantial reduction in the operating cost for the case where renewable generation is integrated with the thermal generation. It is found that the proposed technique is reliable and robust after executing the simulation several times. All the work has been carried out in MATLAB environment.
The existing design approaches of variable structure control for a class of affine systems with uncertainties are discussed for the proposed novel reaching laws based on variable structure control system. Designed by applying there types of reaching laws, they are better than the exponential rate reaching law and the variable rate reaching law can reach the region of the switching surface in finite pace and the stability of origin can be guaranteed. This approach decreases system chattering effectively and fast speed is kept. The simulation result illustrates the feasibility and validity of the proposed approaches. Various output voltages are obtained by keeping V constant and chattering is analyzed, ref minimized for different output voltages by keeping reference voltage constant, and also takes very less time to reach the steady state. The simulation results show a better reduction of chattering of the proposed novel reaching law.
The limitation of fossil fuel resource and its effects on global warming leads to the increased usage of Renewable Energy Sources (RES). Even though the Renewable Energy Sources (RES) notably wind and solar energy are advantageous in many aspects their intermittent nature is a great deal of concern in power system control. The penetration of such renewable energy source makes the generation uncertain and leads to uncertainty based steady state analysis. In this paper, a complex Affine Arithmetic (AA) based load flow analysis in the presence of generation and load uncertainty is proposed. Vectorial representation is applied to denote the partial deviation values of the variables. The proposed approach is tested on a conventional IEEE test bus systems and the result is compared with the Monte Carlo Approach. In terms of fast convergence, less memory usage, and conservatism, the proposed approach is superior than the traditional random number based Monte Carlo approach.