Rapid Control Prototyping in the Development of Home Energy Management Systems

2014 ◽  
Vol 659 ◽  
pp. 395-400 ◽  
Author(s):  
Ciprian Lapusan ◽  
Radu Balan ◽  
Olimpiu Hancu ◽  
Ciprian Rad

The article investigates the development of home energy management systems based on real-time control algorithms and online identification. The proposed system optimizes the energy consumption for heating and cooling of a household using model predictive control strategies. The virtual prototype of the energy management system is developed, simulated and optimized using Matlab/Simulink. The simulated system is then implemented using dSpace platform and rapid control prototyping on real-time hardware and tested on a laboratory surrogate system. The system performance is evaluated by comparing the results with the response of classic systems used for heating and cooling in domestic houses. The obtained results confirmed the viability of the proposed solution in home energy management systems.

2020 ◽  
Vol 45 (1) ◽  
pp. 203-219
Author(s):  
Wilson L. Rodrigues Junior ◽  
Fabbio A. S. Borges ◽  
Ricardo de A. L. Rabelo ◽  
Joel J. P. C. Rodrigues ◽  
Ricardo A. S. Fernandes ◽  
...  

2020 ◽  
Vol 13 (1) ◽  
pp. 132
Author(s):  
Christian Pfeiffer ◽  
Markus Puchegger ◽  
Claudia Maier ◽  
Ina V. Tomaschitz ◽  
Thomas P. Kremsner ◽  
...  

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.


2020 ◽  
Author(s):  
Lawryn Edmonds ◽  
Bo Liu ◽  
Hongyu Wu ◽  
Hang Zhang ◽  
Don Gruenbacher ◽  
...  

As home energy management systems (HEMSs) are implemented in homes as ways of reducing customer costs and providing demand response (DR) to the electric utility, homeowner’s privacy can be compromised. As part of the HEMS framework, homeowners are required to send load forecasts to the distribution system operator (DSO) for power balancing purposes. Submitting forecasts allows a platform for attackers to gain knowledge on user patterns based on the load information provided. The attacker could, for example, enter the home to steal valuable possessions when the homeowner is away. In this paper, we propose a framework using a smart contract within a private blockchain to keep customer information private when communicating with the DSO. The results show the HEMS users’ privacy is maintained, while the benefits of data sharing are obtained. Blockchain and its associated smart contracts may be a viable solution to security concerns in DR applications where load forecasts are sent to a DSO.


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