Open AccessLoad Sharing of Transformers for Intelligent Electric Power Management
Publication year - 2019
Publication title -
journal of applied and emerging sciences
Language(s) - English
Resource type - Journals
eISSN - 2415-2633
pISSN - 1814-070X
DOI - 10.36785/buitems.jaes.290
Subject(s) - blackout , tripping , transformer , electricity , grid , distribution management system , load management , engineering , load sharing , power network , power grid , smart grid , electric power system , electric power distribution , computer science , reliability engineering , electrical engineering , power (physics) , voltage , circuit breaker , distributed computing , physics , geometry , mathematics , quantum mechanics
Power management has been one of the focused areas of research from the past few decades. Power blackout is the main problem nowadays and it occurs mainly due to outdated infrastructure used for electricity in industries. In a traditional grid, the consumer load information is obtained manually which is a time-consuming and expensive process. In this paper, a prototype is developed for the real-time off-site data monitoring and control of the consumer loads in the distribution network of the power grid. The designed prototype avoids the tripping of loads by the use of load sharing.