Natural Aggregation Approach based Home Energy Manage System with User Satisfaction Modelling

International Conference on Sustainable Energy Engineering

能源学;经济学

Luo, F.J.^1,2 ; Ranzi, G.^1 ; Dong, Z.Y.^3 ; Murata, J.^4

School of Civil Engineering, University of Sydney, Sydney

NSW

2006, Australia^1

State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, China^2

School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney

NSW

2052, Australia^3

Department of Electrical Engineering, Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka

812-8581, Japan^4

关键词: Aggregation algorithms;    Energy manage system;    Home energy management system (HEMS);    Optimization modeling;    Optimization techniques;    Time-of-use pricing;    Two way communications;    User's satisfaction;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/73/1/012005/pdf
DOI  :  10.1088/1755-1315/73/1/012005

来源: IOP

【 摘 要 】

With the prevalence of advanced sensing and two-way communication technologies, Home Energy Management System (HEMS) has attracted lots of attentions in recent years. This paper proposes a HEMS that optimally schedules the controllable Residential Energy Resources (RERs) in a Time-of-Use (TOU) pricing and high solar power penetrated environment. The HEMS aims to minimize the overall operational cost of the home, and the user's satisfactions and requirements on the operation of different household appliances are modelled and considered in the HEMS. Further, a new biological self-aggregation intelligence based optimization technique previously proposed by the authors, i.e., Natural Aggregation Algorithm (NAA), is applied to solve the proposed HEMS optimization model. Simulations are conducted to validate the proposed method.