S. Sarada ¹, L. Baya Reddy ¹, K. Balaji ¹

Affiliations
1 Department of Electrical and Electronics Engineering, Annamacharya Institute of Technology and Sciences, Rajampet - 516126, Andhra Pradesh, IN

Abstract

Power electronics assumes an essential part in controlling the system joined renewable energy sources. This paper presents a novel changeable or inconstant neuro-fuzzy control approach for the renewable interfacing inverter. The principle target is to complete successfully smooth reactive, functioning or allowing movement in two usually opposite directions power flow and nonlinear unbalanced load compensation all the while, where the conventional proportional-integral controller may end weakly because of the quick change in the motion to a great psychological depth of nonlinear framework. The joined ability of neuro-fuzzy controller in taking care of the instabilities also, derive a benefit from the procedures is ended up being sufficiently valuable to justify the investment of time or interest while controlling the inverter under having unpredictable ups and downs working conditions. The inverter in an effective manner controlled to make payment to compensate the harmonics, reactive power, and the current imbalance of a Three-Phase Four-Wire (3P4W) nonlinear load with created renewable power injection into the grid at the same time. This give qualities or abilities to the network to continuously supply/take up mentally an adjusted arrangement of fundamental currents at unity Power factor calculate even the surrounding or near by region of the 3P4W nonlinear unbalanced load at the point of common coupling. The proposed framework is created and reenacted in MATLAB/Sim Power System environment under distinctive working conditions. The computerized sign handling and control building based lab exploratory results are additionally given to approve the proposed control approach.

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K. Balaji ¹, P. Sai Kiran ¹

Affiliations
1 Department of CSE,KL University, Vijayawada – 520001, Andhra Pradesh, IN

Abstract

Background/Objectives: Cloud computing offers various services with minimum management effort while provisioning resources via internet. Cloud clients are allowed to store their personal data at data centers, it will minimize storage maintenance in local systems. Methods/Statistical Analysis: Cloud computing environment facing huge issues with hardware and software vulnerabilities in maintenance and resources provisioning process. These vulnerabilities pose huge loss of data, confidentiality, privacy and availability. Findings: In this paper, we studied and concentrated on various attacks in Virtualization environment and the possible attack scenarios in each platform. Application/Improvements: In the final section, we studied and described all types of attacks.

Keywords

Confidentiality, Integrity, Privacy, Provisioning, Virtualization.

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