Efficient Energy Management System of Smart Homes with Distributed Energy Resources

Author(s):  
Sung-Yoon Chae ◽  
Jin Hee Park
2021 ◽  
Vol 41 (1) ◽  
pp. e83905
Author(s):  
Elkin Dario Granados Hernández ◽  
Nelson Leonardo Diaz Aldana ◽  
Adriana Carolina Luna Hernández

Energy management systems are one of the most important components in the operation of an electric microgrid. They are responsible for ensuring the supervision of the electrical system, as well as the coordination and reliability of all loads and distributed energy resources in order for the microgrid to be operated as a unified entity. Because of that, an energy management system should be fast enough at processing data and defining control action to guarantee the correct performance of the microgrid. This paper explores the design and implementation of an energy management system deployed over a dedicated electronic device. The proposed energy management device coordinates the distributed energy resources and loads in a residential-scale islanded microgrid, in accordance with a rule-based energy management strategy that ensures reliable and safe operation of the battery-based energy storage system. A hardware-int-he-loop test was performed with a real-time simulation platform to show the operation of the electronic device


2020 ◽  
Author(s):  
Dimitrios Thomas ◽  
Evangelos Kotsakis

In this Chapter, we consider a microgrid with a certain number of distributed energy resources (DER) components connected to an office building (in a university campus) provided with electricity by a utility company. We develop the initial version of the energy management system which is responsible for the optimal energy scheduling of the microgrid’s distributed energy resources. These resources include a photovoltaic (PV) installation, a Storage Energy System (ESS), a small Combined Heat and Power (CHP) unit, and a fleet of electric vehicles (EVs) used for work-related trips. The mobility behavior of the EVs fleet is modeled considering deterministic realizations of the probabilistic distributions used for the arrival/departure, and the time EVs remain parked. To investigate the impact of renewable generation and load unpredictability on the energy management system (EMS) operation, PV production and electric load are modeled under uncertainty using actual smart meters data for the scenarios formulation. We also assume that each DER component, through an EMS, can communicate and control the power exchange from and towards this component and that, two way communication with the utility company can be reached through aggregators using advanced metering equipment. We also consider a simplified thermal model that provides a specific level of thermal comfort to the building’s occupants, by meeting the predicted heating load. The energy produced by the DERs can be sold back to the grid by the microgrid manager and/or it can be stored for future utilization.


2020 ◽  
Vol 14 (15) ◽  
pp. 2955-2965
Author(s):  
Cuo Zhang ◽  
Zhao Yang Dong ◽  
Xia Yin

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