A Survey of Optimization Techniques for Scheduling in Home Energy Management Systems in Smart Grid

2017 ◽  
pp. 616-626
Author(s):  
Fozia Feroze ◽  
Asif Khan ◽  
Nabeeha Qayyum ◽  
Sakeena Javaid ◽  
Adnan Ahmed ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Optimization Techniques ◽  
Management Systems ◽  
Energy Management Systems ◽  
Home Energy Management

scholarly journals An Overview of the Building Energy Management System Considering the Demand Response Programs, Smart Strategies and Smart Grid

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3299 ◽  
Author(s):  
Mohammad Shakeri ◽  
Jagadeesh Pasupuleti ◽  
Nowshad Amin ◽  
Md. Rokonuzzaman ◽  
Foo Wah Low ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Demand Response ◽  
Smart Grids ◽  
Management System ◽  
Management Systems ◽  
Energy Management System ◽  
Energy Management Systems ◽  
Home Energy Management ◽  
Demand Response Programs

Electricity demand is increasing, as a result of increasing consumers in the electricity market. By growing smart technologies such as smart grid and smart energy management systems, customers were given a chance to actively participate in demand response programs (DRPs), and reduce their electricity bills as a result. This study overviews the DRPs and their practices, along with home energy management systems (HEMS) and load management techniques. The paper provides brief literature on HEMS technologies and challenges. The paper is organized in a way to provide some technical information about DRPs and HEMS to help the reader understand different concepts about the smart grid, and be able to compare the essential concerns about the smart grid. The article includes a brief discussion about DRPs and their importance for the future of energy management systems. It is followed by brief literature about smart grids and HEMS, and a home energy management system strategy is also discussed in detail. The literature shows that storage devices have a huge impact on the efficiency and performance of energy management system strategies.

An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid

2017 ◽  
Vol 138 ◽  
pp. 154-164 ◽  
Author(s):  
Mohammad Shakeri ◽  
Mohsen Shayestegan ◽  
Hamza Abunima ◽  
S.M. Salim Reza ◽  
M. Akhtaruzzaman ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Demand Response ◽  
System Architecture ◽  
Intelligent System ◽  
Management Systems ◽  
Energy Management Systems ◽  
Home Energy Management

Cyber security framework for smart home energy management systems

2021 ◽  
Vol 46 ◽  
pp. 101232
Author(s):  
Mohammed Saeed Alkatheiri ◽  
Mohammed A. Alqarni ◽  
Sajjad Hussain Chauhdary
Keyword(s):  
Energy Management ◽  
Cyber Security ◽  
Smart Home ◽  
Management Systems ◽  
Security Framework ◽  
Energy Management Systems ◽  
Home Energy Management

scholarly journals A Case Study of Socially-Accepted Potentials for the Use of End User Flexibility by Home Energy Management Systems

2020 ◽  
Vol 13 (1) ◽  
pp. 132
Author(s):  
Christian Pfeiffer ◽  
Markus Puchegger ◽  
Claudia Maier ◽  
Ina V. Tomaschitz ◽  
Thomas P. Kremsner ◽  
...  
Keyword(s):  
Energy Management ◽  
Management System ◽  
Management Systems ◽  
System Support ◽  
Energy Management System ◽  
Energy Management Systems ◽  
Sample Area ◽  
Home Energy Management ◽  
Support Optimization ◽  
Home Energy Management System

Due to the increase of volatile renewable energy resources, additional flexibility will be necessary in the electricity system in the future to ensure a technically and economically efficient network operation. Although home energy management systems hold potential for a supply of flexibility to the grid, private end users often neglect or even ignore recommendations regarding beneficial behavior. In this work, the social acceptance and requirements of a participatively developed home energy management system with focus on (i) system support optimization, (ii) self-consumption and self-sufficiency optimization, and (iii) additional comfort functions are determined. Subsequently, the socially-accepted flexibility potential of the home energy management system is estimated. Using methods of online household survey, cluster analysis, and energy-economic optimization, the socially-accepted techno-economic potential of households in a three-community cluster sample area is computed. Results show about a third of the participants accept the developed system. This yields a shiftable load of nearly 1.8 MW within the small sample area. Furthermore, the system yields the considerably larger monetary surplus on the supplier-side due to its focus on system support optimization. New electricity market opportunities are necessary to adequately reward a systemically useful load behavior of households.

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