Electricity scheduling strategy for home energy management system with renewable energy and battery storage: a case study

With the development of smart grid, energy consumption on residence will play an important role in the electricity market, while the Home Energy Management System (HEMS) has huge potential to help energy conservation. In this study, a practical HEMS model with renewable energy, storage devices and p...

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Veröffentlicht in:IET renewable power generation Jg. 12; H. 6; S. 639 - 648
Hauptverfasser: Yang, Junjie, Liu, Juan, Fang, Zilu, Liu, Weiting
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 30.04.2018
Schlagworte:
battery powered vehicles
battery storage device
battery storage plants
demand response
electricity market
electricity pricing
electricity purchase minimisation
electricity scheduling strategy
energy conservation
energy consumption
energy management systems
energy waste reduction
genetic algorithm
genetic algorithms
home energy management system
integer programming
multiconstrained integer programming method
plug‐in electric vehicle
power markets
power system management
practical HEMS model
purchasing
renewable energy sources
renewable energy utilisation maximization
Research Article
smart grid
electricity purchase minimisation
home energy management system
integer programming
purchasing
electricity scheduling strategy
plug-in electric vehicle
battery storage device
power system management
electricity pricing
multiconstrained integer programming method
genetic algorithm
energy waste reduction
GA
power markets
energy consumption
practical HEMS model
smart grid
renewable energy sources
battery powered vehicles
electricity market
genetic algorithms
renewable energy utilisation maximization
energy management systems
energy conservation
battery storage plants
demand response
ISSN:1752-1416, 1752-1424, 1752-1424
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Zusammenfassung:With the development of smart grid, energy consumption on residence will play an important role in the electricity market, while the Home Energy Management System (HEMS) has huge potential to help energy conservation. In this study, a practical HEMS model with renewable energy, storage devices and plug-in electric vehicles, considering the battery sustainability and the full utilisation of the renewable energy, is first established. Then, according to the combinations of the genetic algorithm (GA) and the multi-constrained integer programming method, an improved GA is proposed, which goal is to minimise the electricity purchase and maximise the renewable energy utilisation. Finally, it is demonstrated by an example that the proposed method is significant in cost saving and reducing energy wastes. To verify the performances of the proposed algorithm, the numerical results indicate that the proposed algorithm has high computational efficiency and good robustness. In addition, it can avoid the disadvantages easy to trap at a local optimal point, and are insensitive to initial solutions. The effect of the storage device on system property and the sensitivity of cost savings versus demand response, size of the battery, and the electricity price sell to the grid are also analysed.
ISSN:1752-1416
1752-1424
1752-1424
DOI:10.1049/iet-rpg.2017.0330