Energy management system for mobility and smart city

2016 ◽  
Author(s):  
K. W. E. Cheng
Keyword(s):  
Energy Management ◽  
Smart City ◽  
Management System ◽  
Energy Management System

scholarly journals Smart Microgrid Management: A Hybrid Optimisation Approach

2020 ◽  
Author(s):  
amoura yahia ◽  
Ana Isabel Pereira ◽  
José Lima ◽  
Angela Ferreira ◽  
Fouad Boukli-Hacene ◽  
...  
Keyword(s):  
Energy Management ◽  
Smart City ◽  
Management System ◽  
Renewable Energy Sources ◽  
Market Price ◽  
Inverse Correlation ◽  
Optimization Method ◽  
Electrical Network ◽  
Small Scale ◽  
Energy Management System

Abstract Background: The association of distributed generators, energy storage systems and controllable loads close to the energy consumers gave place to a small-scale electrical network called microgrid. The stochastic behavior of renewable energy sources, as well as the demand variation, can lead in some cases to problems related to the reliability of the microgrid system. On the other hand, the market price of electricity from mainly non-renewable sources becomes a concern for a simple consumer due to its high costs.Method: In this work, an energy management system was developed based on an innovative optimization method, combining linear programming, based on the simplex method, with particle swarm optimisation algorithm. Two scenarios have been proposed to characterise the relation price versus gas emissions for optimal energy management. The objective of this study is to nd the optimal setpoints of generators in a smart city supplied by a microgrid in order to ensure consumer comfort, minimising the emission of greenhouse gases and ensure an appropriate operating price for all smart city consumers. Results: The simulation results have demonstrated the reliability of the optimisation approach on the energy management system in the optimal scheduling of the microgrid generators power ows, having achieved a better energy price compared to a previous study with the same data. Conclusion: The energy management system based on the proposedoptimisation approach gave an inverse correlation between economic and environmental aspects, in fact, a multi-objective optimisation approach is performed as a continuation of the work proposed in this paper.

Fuzzy rough set based energy management system for self-sustainable smart city

2018 ◽  
Vol 82 ◽  
pp. 3633-3644 ◽  
Author(s):  
Sumedha Sharma ◽  
Amit Dua ◽  
Mukesh Singh ◽  
Neeraj Kumar ◽  
Surya Prakash
Keyword(s):  
Energy Management ◽  
Rough Set ◽  
Smart City ◽  
Management System ◽  
Energy Management System ◽  
Fuzzy Rough Set

Home Energy Management System

2012 ◽  
Vol 132 (10) ◽  
pp. 695-697 ◽  
Author(s):  
Hideki HAYASHI ◽  
Yukitoki TSUKAMOTO ◽  
Shouji MOCHIZUKI
Keyword(s):  
Energy Management ◽  
Management System ◽  
Energy Management System ◽  
Home Energy Management ◽  
Home Energy Management System

Buildings Energy Management System

2012 ◽  
Vol 132 (10) ◽  
pp. 692-694 ◽  
Author(s):  
Yoshihiro OGITA ◽  
Yutaka IINO ◽  
Hideki HAYASHI
Keyword(s):  
Energy Management ◽  
Management System ◽  
Energy Management System
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