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Using CPS Enabled Microgrid System for optimal power utilization and supply strategy

Publication Type : Journal Article

Thematic Areas : Wireless Network and Application

Publisher : Energy and Buildings, Elsevier.

Source : Energy and Buildings, Elsevier, Volume 145, p.32-43 (2017)

Url : https://www.sciencedirect.com/science/article/pii/S0378778816313901(link is external)

Keywords : Context aware algorithms, Microgrid, Smart building, Sustainability

Campus : Amritapuri

School : Department of Computer Science and Engineering

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Computer Science, Nuclear Medicine

Year : 2017

Abstract : Because the power grid experiences dynamic variations in energy generation and demand, inclusion of renewable energy alone will not assure self-sustainability of the grid system. Energy sustainability can be achieved by developing Cyber Physical System enabled smart buildings capable of dynamic energy management. In this research work, we propose the architecture for CPS enabled sustainable buildings integrated with Distributed Energy Generators (DEG). We have developed three algorithms, namely, Equipment Classification Algorithm (ECA), Context Aware Room Energy Utilization (CAREU), and Availability based Management Algorithm (AMA), for dynamic energy management to attain energy sustainability of smart buildings, and optimization models for profit maximization in smart buildings. Prototype of the smart buildings are developed with features such as realtime energy monitoring, renewable energy integration, dynamic rescheduling and reallocation of energy utilization of equipments to attain energy sustainability. The results show that the proposed method provides energy sustainability compared to the current state-of-the-art methods.

Cite this Research Publication : Dr. Maneesha V. Ramesh, ., A. K., VenkatRangan,, and Arya Devi R. D., “Using CPS Enabled Microgrid System for optimal power utilization and supply strategy”, Energy and Buildings, vol. 145, pp. 32-43, 2017.

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