Multi-objective optimization based real-time control for PEV hybrid energy management systems

Author(s):  
Xiaoying Lu ◽  
Yaojiang Chen ◽  
Haoyu Wang
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.


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