Abstract

Home energy management systems (HEMSs) enable residential customers to efficiently participate in demand response programs in order to obtain optimal benefits. Traditional HEMSs only manage household electric appliances to reduce the electricity consumption cost while the optimal scheduling of natural gas appliances has been overlooked. Due to the increasing popularity of natural gas appliances in modern smart homes, the electricity consumption of residential customers connected to the natural gas network is significantly affected by the use of natural gas appliances. To consider the interaction between electric and natural gas appliances in households, a day-ahead optimal joint scheduling model of electric and natural gas appliances for HEMS is proposed. Firstly, all household appliances are classified into several categories and the mathematical model of each appliance is presented. Then, a day-ahead optimal joint scheduling model of both electric and natural gas appliances for HEMS is formulated, in which the objective function is to minimize the household's energy cost and the dissatisfaction level caused by the shifting, reduction and replacement of loads in response to the time varying prices. Case studies using realistic data indicate that the proposed model can save the total energy costs up to 30% for customers whilst ensuring their satisfaction levels.

Highlights

  • PARAMETERSEeilectric Ehi eat M air Electric energy demand of appliance i Heat energy demand of appliance i The mass of air Pirated Pitni,i

  • Demand response (DR) utilizes the demand side resources to help maintaining the reliability [1] and improving the flexibility [2] of power systems

  • A complete and realistic dissatisfaction characterization model is proposed to describe the dissatisfaction level caused by the shifting, reduction and replacement of loads in response to the time varying electricity prices

Read more

Summary

PARAMETERS

Eeilectric Ehi eat M air Electric energy demand of appliance i Heat energy demand of appliance i The mass of air Pirated Pitni,i. Rated power of appliance i Initial power of appliance i (without control actions). Time interval δi Operation durations of appliance i ηi Efficiency of appliance i θtout

INTRODUCTION
OPTIMIZATION MODEL OF THE PROPOSED HEMS
Findings
CONCLUSION

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.