Load Scheduling and Power Quality Improvement of DC Micro Grid with Modified Fuzzy Logic and Neural Network

A, Balamurugan (2020) Load Scheduling and Power Quality Improvement of DC Micro Grid with Modified Fuzzy Logic and Neural Network. Journal of Advanced Research in Dynamical and Control Systems, 12 (SP7). pp. 1788-1795. ISSN 1943023X

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Abstract

The improvement of DC usage has been taking part in Associate in Nursing inevitable role in our day to day life to enhance the facility quality, then extreme condition of voltage stress of renewable sources and the volatile direct current system, it has instruments that has renewable source developed system will produce the extra-large converting device that become an important issue for the analysis part. The analysis on the coordination management it's terribly essential step for modelling of DC distribution network. However, the standard modelling are going to be an impact for simulation designing tool with P-I arrangement and also the W-V axis, left the advanced control respect to their sources. A normalized model of a number of terminals versatile DC springs for the prevailing power model, load, DC to DC converters, and AC to DC converting system considering drop management. In our proposed system the modified fuzzy logic control technique will sense the feedback from grid load usage and provide the required control logic to the system. Thus the results show the simplified model of fuzzy logic closed loop can accurate and widely examined by the steady and transient state frameworks. © 2020 Elsevier B.V., All rights reserved.

Item Type: Article
Subjects: Engineering > Electrical and Electronic Engineering
Divisions: Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem > Electrical & Electronics Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 04 Dec 2025 11:53
URI: https://vmuir.mosys.org/id/eprint/3585

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