An Embedded Platform for Testbed Implementation of Multi-Agent System in Building Energy Management System

Aryuanto Soetedjo, Yusuf Ismail Nakhoda and Choirul Saleh
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Aryuanto Soetedjo: Department of Electrical Engineering, National Institute of Technology (ITN), Malang 65145, Indonesia
Yusuf Ismail Nakhoda: Department of Electrical Engineering, National Institute of Technology (ITN), Malang 65145, Indonesia
Choirul Saleh: Department of Electrical Engineering, National Institute of Technology (ITN), Malang 65145, Indonesia

Energies, 2019, vol. 12, issue 19, 1-29

Abstract: This paper presents a hardware testbed for testing the building energy management system (BEMS) based-on the multi agent system (MAS). The objective of BEMS is to maximize user comfort while minimizing the energy extracted from the grid. The proposed system implements a multi-objective optimization technique using a genetic algorithm (GA) and the fuzzy logic controller (FLC) to control the room temperature and illumination setpoints. The agents are implemented on the low cost embedded systems equipped with the WiFi communication for communicating between the agents. The photovoltaic (PV)-battery system, the air conditioning system, the lighting system, and the electrical loads are modeled and simulated on the embedded hardware. The popular communication protocols such as Message Queuing Telemetry Transport (MQTT) and Modbus TCP/IP are adopted for integrating the proposed MAS with the existing infrastructures and devices. The experimental results show that the sampling time of the proposed system is 16.50 s. Therefore it is suitable for implementing the BEMS in a real-time where the data are updated in an hourly or minutely basis. Further, the proposed optimization technique shows better results in optimizing the comfort index and the energy extracted from the grid compared to the existing methods.

Keywords: BEMS; MAS; embedded system; multi-objective optimization; genetic algorithm (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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