-4d90550d17f4602e089-1796 20220523062448778 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 Phd Scholar Department Of Eee, Biher. Shivaji Bhukya Dr. S. Prakash Professor, Department Of Eee, Biher Chennai In this paper we propose the fuzzy logic controller based solar fed grid via various loads. Normally present situation solar power play a vital role to meet the load demand. Solar power is the free from pollution and cost free fuel so in this paper I propose the solar based grid integrated framework, it consist of dc-dc boost converter, 3-phase voltage source inverter and fed to grid via various loads. MPPT based fuzzy logic controller is used to obtain the maximum power from the solar. But our proposed solar generation is intermittent in nature so before supplying this power to the load as well as grid we can control and enhance the power quality by utilizing FLC. This FLC control scheme effectively controls the harmonics developed in the grids. Current harmonics and Voltage flickers developed in the PV integrated grid due to non linear loads and critical loads present in the network. The proposed system is verified in MATLAB/SIMLINK 11 30 2019 10078 10082 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9540.118419 https://www.ijrte.org/portfolio-item/D9540118419/ M.Tech Scholar, Dept of Electrical & Electronics Engineering, Anurag Group of Institutions Ghatkesar, Medchal. Valluri Aruna* G. Venu Assistant Professor, Dept of Electrical &Electronics Engineering, Anurag Group of Institutions Ghatkesar, Medchal. Dr.T.Anil Kumar Professor, Dept of Electrical & Electronics Engineering, Anurag Group of Institutions Ghatkesar, Medchal. Solar power has crucial prospective included in each and every Non –conventional sources of energy. As utilization of Non –conventional sources of energy is an alternative resolution for overcoming the world wide warming. This paper presents, a converter, power inverter and power point tracking is employed for operation of four quadrant. The management by exploitation Particle swarm optimization (PSO) MPPT technique. When the output voltage of photovoltaic panel is step up in order to met the input of the motor. The MPPT is employed to Photovoltaic system was enforced and it's provided for a DC- DC device. The management regarding electronically commutated Motor is usually hall detector is required to determine. The position and speed and armature by manipulation. The Electronically commutated Motor is managed completely in all modes of operation and additionally power is maintained all over the regenerative mode. The paper accustomed reduces in every Mode of operation. This Proposed paper has being executed in MATLAB/SIMULATOR software system. 11 30 2019 11283 11289 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9543.118419 https://www.ijrte.org/portfolio-item/D9543118419/ pursuing B.Tech, Computer Science and Engineering, Sikkim Manipal Institute of Technology, Sikkim India. Sarthak Srivastava* Mr. Santanu Kumar Misra department of Computer Science & Engineering, at Sikkim Manipal Institute of Technology, Sikkim. India. Recently, the rapid development in processing speeds, fast storage devices and better network connectivity, hasaccelerated the popularization of cloud computing. Cloud computing is an on-demand-servicewhich provides users with high end servers,storage and processing capabilities where the user need not be concerned with its infrastructure.Although, there are abundant resources in the cloud infrastructure, for the efficient working and execution of tasks, task scheduling plays a crucial role. Task scheduling results in better performance (throughput) of the system along with better resource utilization which ultimately results inreduced energy consumption. At any given time, a processor should never be in idle state, as it still consumes some amount of energy. In this paper, the use of Quantum Genetic Algorithm has led to the reduction in energy consumption. The objective is to find a scheduling sequencewhich can be implemented ina cloud computing environment. Along with minimizing energy consumption, the algorithm helps reduce makespan time of a processor as well.The results show a decrease in energy consumption by 10-15% under different test scenarios involving a variable number of tasks, processors, and the number of iterations (generations) for which the algorithm was run. The algorithm converges to the desired result within 10-15 iterations, as can be seen from the results published in this paper. 11 30 2019 10093 10099 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9560.118419 https://www.ijrte.org/portfolio-item/D9560118419/