A UNIQUE ENERGY THE LEADERS ABILITIES FOR SUN ARRANGED PV-DRIVEN SRM

In this undertaking a clever energy the board capabilities for sun oriented PV-driven SRM for EVs is executed. By and large to keep away from and diminish the emanation of green house gases this framework is presented. For the utilizations of electric vehicles Exchanged hesitance engines (SRMs) utilized most broadly. To diminish the dependence on batteries of vehicles, photovoltaic boards are utilized. Consequently the methodology is constrained by utilizing tri pot converter which will stream the energy from board, battery, and SRM. In this there are absolutely six working modes, in that four are utilized for driving reason and two are utilized to charge the board. In these P&O (Irritate and notice) MPPT strategies is utilized to control the proposed framework. It halt the charging modes, a framework associated charging geography is created without a requirement for outer equipment. At the point when the PV board straightforwardly charges the battery, a multi segment charging control technique is utilized to streamline the energy usage

Analysis of Practical Constraints using Hybrid Cuckoo Search Algorithm

In this paper a proposed Hybrid Cuckoo Search Algorithm (HCSA) is used to solve optimal power flow problem. The evolutionary techniques are based on the randomness of the values within its variable limits. Hence choosing best starting solution value and obtaining best final solution within less number of iterations is one of the challenging tasks. In this the conventional Cuckoo Search Algorithm (CSA) is combined along with the real coded Genetic Algorithm (GA) cross over operation to improve the effectiveness of solution. In reality solution of objective optimal power flow with satisfying equality and inequality constraints along with additional constraints of ramp-rate limit and prohibited operating zone limits (POZ) needs a lot of practice. The complete procedure is solved on IEEE-30 bus systems with the supporting result

Analysis of Optimal Power Flow using Hybrid Fruitfly Algorithm

In this paper, hybrid fruit fly algorithm is proposed to find the optimal solution for optimal power flow (OPF) problem in a power system. The proposed approach is applied to determine the optimal settings of control variables of the OPF problem. The performance of the proposed approach examined and tested on the himmelblau test function and 30-bus test systems with different objective functions and is compared to other heuristic methods reported in the literature recently. Simulation results obtained from the proposed approach indicates that HFFA provides effective and robust high-quality solution for the OPF problem

IMPLEMENTATION OF AN AUTOMATIC LPGGAS DETECTION AND ALERT SYSTEM

Gas leakage is a major problem with industrialsector and residential premises. The safety workenvironment is important for every worker in theindustries, hotels, restaurants etc. and important tocreate a safer workplace. Gas accidents are vitalissues for all areas of life where precautions arevery important. One of the preventive methods tostop accident associated with the gas leakage is toinstall gas leakage detection kit at vulnerableplaces. The aim of this project is to present such adesign that can automatically detect, stop and alertgas leakage in vulnerable premises. Therefore animplementation of an automatic LPG gas detectionand alert system is proposed in our project. Proposed design can help us to avoid Gasleakage kind of problem in our daily life. The aimof this project is to monitor for liquid petroleum gas(LPG) leakage to avoid fire accidents providing safety feature where security has been animportant issue. The system detects the leakageofthe LPG using gas sensor and alerts the consumerabout the gas leakage by sending SMS

Advanced health monitoring system development and implementation for real-time applications

In the modern world, health monitoring systems are crucial. This system's purpose is to use sensors to measure the patient's body's biological parameters, such as temperature, heart rate, and oxygen saturation. The LM-35 temperature sensor is used to measure temperature. A pulse sensor is used to calculate heart rate. The associated registered number will automatically get an SMS using GSM when the oxygen level thresholds change. Arduino compares the patient's parameters to the values inside the usual range, and if the parameters are out of range, an SMS is automatically sent over GSM to the relevant registered number. The parameters are shown on an LCD screen

SEPIC-based Harmonic Distortion Reduction in BLDC Motors

— This study examines a novel drive method for BLDC motor speed regulation. In this mode, the line voltage waveform is observed while having both voltage and current. This allows us to deduce harmonics of lower order and, possibly, increase the cosine angle of voltage and current when neither voltage nor current sensor equipment is present. For driving a permanent magnet brushless dc (BLDC) motor with unipolar currents, a front-end SEPIC and a switch are proposed in series with each phase. One benefit of using lower voltage applications is that the supply voltage can be obtained for better current regulation. The SEPIC converter is built to work with an ac supply in the irregular conduction mode. The present topology is simulated and verified by using MATLAB/SIMULIN