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Adaptive Grid Controller - Cost Reduction and Dispatch with Emphasis on Renewable Energy Sources
Author(s) -
M.J. Chandrashekar,
R Jayapal
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l3816.1081219
Subject(s) - controller (irrigation) , renewable energy , grid , computer science , schedule , energy storage , hybrid system , automotive engineering , reliability engineering , power (physics) , engineering , electrical engineering , physics , geometry , mathematics , quantum mechanics , machine learning , agronomy , biology , operating system
The combination of energy storage systems (ESS) and renewable energy source (RES) in hybrid grid provide benefits towards the system operation and as well as for end users. The main problem with RES is irregularity and ESS should be cost effective in order to provide economically operation of hybrid grid system. In this paper, we proposed the adaptive grid controller based upon the Super capacitor (SC) and battery at ESS in order to optimize the operation of grid system. An adaptive controller module includes hybrid ESS and consist of two modules, the Corse grain controller module is used to schedule the power dispatch in order to decrease the operational cost, while fine grain controller module is used to overcome the power fluctuation by RESs and to predict the uncertainties during real time power demand. The major aim is to minimize the energy loss through minimizing the average long period cost of hybrid ESS. The two-controller module optimizes the energy resources and power sources in a fixed interval of time, so the grid performs economically with several operational limits.

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