A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy

Bilal Naji Alhasnawi, Basil H. Jasim, Pierluigi Siano and Josep M. Guerrero
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Bilal Naji Alhasnawi: Electrical Engineering Department, Basrah University, Basrah 61001, Iraq
Basil H. Jasim: Electrical Engineering Department, Basrah University, Basrah 61001, Iraq
Pierluigi Siano: Department of Management & Innovation Systems, University of Salerno Via Giovanni Paolo II, 132, 84084 Fisciano, Italy
Josep M. Guerrero: Center for Research on Microgrid (CROM), Energy Technology Department, University of Aalborg, 9220 Aalborg, Denmark

Energies, 2021, vol. 14, issue 11, 1-29

Abstract: This paper presents a novel scheduling scheme for the real-time home energy management systems based on Internet of Energy (IoE). The scheme is a multi-agent method that considers two chief purposes including user satisfaction and energy consumption cost. The scheme is designed under environment of microgrid. The user impact in terms of energy cost savings is generally significant in terms of system efficiency. That is why domestic users are involved in the management of domestic appliances. The optimization algorithms are based on an improved version of the rainfall algorithm and the salp swarm algorithm. In this paper, the Time of Use (ToU) model is proposed to define the rates for shoulder-peak and on-peak hours. A two-level communication system connects the microgrid system, implemented in MATLAB, to the cloud server. The local communication level utilizes IP/TCP and MQTT and is used as a protocol for the global communication level. The scheduling controller proposed in this study succeeded the energy saving of 25.3% by using the salp swarm algorithm and saving of 31.335% by using the rainfall algorithm.

Keywords: internet of energy; rainfall optimization algorithm; salp swarm algorithm; cloud platform (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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