Soetedjo, Aryuanto and Somawirata, I Komang (2019) An Embedded Platform for Testbed Implementation of Multi-Agent System in Building Energy Management System. An Embedded Platform for Testbed Implementation of Multi-Agent System in Building Energy Management System. (Submitted)
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Jurnal Aryu-2019-2 Embedded Platform.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (5MB) |
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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
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | BEMS; MAS; embedded system; multi-objective optimization; genetic algorithm |
| Subjects: | Engineering > Electrical Engineering |
| Divisions: | Fakultas Teknologi Industri > Teknik Industri S1 > Teknik Industri S1 (Skripsi) |
| Depositing User: | Ms Nunuk Yuli |
| Date Deposited: | 10 Feb 2021 03:28 |
| Last Modified: | 17 May 2022 07:34 |
| URI: | http://eprints.itn.ac.id/id/eprint/5311 |
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