Smart Residential Load Simulator for Energy Management in Smart Grids

被引：67

作者：

Gonzalez Lopez, Juan Miguel ^{[1
]}

Pouresmaeil, Edris ^{[2
]}

Canizares, Claudio A. ^{[3
]}

Bhattacharya, Kankar ^{[3
]}

Mosaddegh, Abolfazl ^{[3
]}

Solanki, Bharatkumar V. ^{[3
]}

机构：

[1] Univ Colima, Electromech Engn Fac, Colima 28864, Mexico

[2] Aalto Univ, Dept Elect Engn & Automat, Espoo 02150, Finland

[3] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2019年 / 66卷 / 02期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Appliance modeling; home energy management; household energy consumption; smart grid; smart loads; smart houses; PROFILES; MODEL;

D O I：

10.1109/TIE.2018.2818666

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes the development of a freeware smart residential load simulator to facilitate the study of residential energy management systems in smart grids. The proposed tool is based on MATLAB-Simulink-GUIDE toolboxes and provides a complete set of user-friendly graphical interfaces to properly model and study smart thermostats, air conditioners, furnaces, water heaters, stoves, dishwashers, cloth washers, dryers, lights, pool pumps, and refrigerators, whose models are validated with actual measurements. Wind and solar power generation as well as battery sources are also modeled, and the impact of different variables, such as ambient temperature and household activity levels, which considerably contribute to energy consumption, are considered. The proposed simulator allows modeling of appliances to obtain their power demand profiles, thus helping to determine their contribution to peak demand, and allowing the calculation of their individual and total energy consumption and costs. In addition, the value and impact of generated power by residential sources can be determined for a 24-h horizon. This freeware platform is a useful tool for researchers and educators to validate and demonstrate models for energy management and optimization, and can also be used by residential customers to model and understand energy consumption profiles in households. Some simulation results are presented to demonstrate the performance and application of the proposed simulator.

引用

页码：1443 / 1452

页数：10

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