Title
Real-Time Energy Management Optimization for Smart Household
Abstract
The ubiquitous perception and interactive properties offered by Internet of Things (IoT) technology enable more active participation of residential users to achieve energy efficiency via various demand response (DR) strategies. In this paper, the energy management problem of a smart home consisting of renewable energy source (RES), energy storage system (ESS), a set of schedulable home appliances, and dynamic electricity tariff is formulated. A home energy management system (HEMS) is developed using the mixed integer linear programing (MILP) technique, aiming to solve both load scheduling problem of home appliances and the energy dispatch problem of utility grid under a single optimization framework in real-time. Some elements such as RES and ESS are assumed to be uncontrollable for more realistic modelling. By leveraging the peak shaving and energy storage capability of ESS, the proposed HEMS is able to minimize the energy cost required to satisfy the scheduled load demands without violating the operating constraints of smart home and the convenience level of users.
Year
DOI
Venue
2016
10.1109/iThings-GreenCom-CPSCom-SmartData.2016.31
2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
Keywords
Field
DocType
Energy dispatch,home energy management system (HEMS),Internet of Things (IoT),load scheduling,mixed integer linear programming (MILP)
Energy storage,Energy management,Renewable energy,Computer science,Efficient energy use,Demand response,Home automation,Peaking power plant,Energy management system,Distributed computing,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-5090-5881-5
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Leehter Yao121.04
Jin-Yi Shen200.34
Wei Hong Lim31769.62