Open AccessEnergy management system for residential buildings based on fuzzy logic: design and implementation in smart‐meter
Author(s) -
Chojecki Adrian,
Rodak Michał,
Ambroziak Arkadiusz,
Borkowski Piotr
Publication year - 2020
Publication title -
iet smart grid
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.612
H-Index - 11
ISSN - 2515-2947
DOI - 10.1049/iet-stg.2019.0005
Subject(s) - energy management system , renewable energy , smart grid , computer science , metering mode , energy management , fuzzy logic , energy consumption , management system , automotive engineering , real time computing , embedded system , engineering , energy (signal processing) , electrical engineering , operations management , mathematics , mechanical engineering , statistics , artificial intelligence
Advances in distributed generation and increased contribution of renewable energy source (RES) require development of smart grid technologies. Smart metering systems, as a part of smart grid technologies, in cooperation with modern buildings equipped with building management system allows for improvement of energy efficiency. It is possible to partially cover the power demand of a building from the local RESs. However, in order to ensure maximum added value, energy management system (EMS) is essential. This article presents the project and practical implementation of an EMS implemented in smart‐meter. The designed system is based on an original algorithm using fuzzy logic. The rule base was created in FCL language and the implementation was carried out in C++ with the object‐oriented programming (OOP). For the efficiency rating indicator, peak‐to‐average ratio (PAR) was selected. This ratio depending on the daily load profile decreased within a range from 15 to 54%, and the average value was 30%. The proposed energy management algorithm helps to reduce energy consumption at peak demand by 34%, with the total reduction of energy consumption during the day of 7%. The described solution demonstrates a potential for real implementation and was tested in hardware.