On Optimal Battery Sizing for Households Participating in Demand-Side Management Schemes

@article{Pilz2019OnOB,
  title={On Optimal Battery Sizing for Households Participating in Demand-Side Management Schemes},
  author={Matthias Pilz and Omar Ellabban and Luluwah Al-Fagih},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.00097}
}
The smart grid with its two-way communication and bi-directional power layers is a cornerstone in the combat against global warming. It allows for the large-scale adoption of distributed (individually-owned) renewable energy resources such as solar photovoltaic systems. Their intermittency poses a threat to the stability of the grid, which can be addressed by the introduction of energy storage systems. Determining the optimal capacity of a battery has been an active area of research in recent… 

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References

SHOWING 1-10 OF 16 REFERENCES
A Dynamic Game Approach for Demand-Side Management: Scheduling Energy Storage with Forecasting Errors
TLDR
A comparison of a DSM scheme with a static game reveals the advantages of the dynamic game approach and an extensive analysis on the influence of the forecasting error on the outcome of the game shows exponential convergence towards the Nash equilibrium.
Distributed Demand Side Management with Energy Storage in Smart Grid
TLDR
This paper considers a smart power system in which users are equipped with energy storage devices, and proposes two distributed demand side management algorithms executed by users in which each user tries to minimize its energy payment, while still preserving the privacy of users as well as minimizing the amount of required signaling with the central controller.
Game-Theoretic Demand-Side Management With Storage Devices for the Future Smart Grid
TLDR
The Stackelberg game is shown to be the general case of the minimum Peak-to-Average power ratio (PAR) problem and to have a unique Nash equilibrium, that is also the global system optimal point.
Optimal sizing and energy scheduling of photovoltaic-battery systems under different tariff structures
Self-consumption enhancement of residential photovoltaics with battery storage and electric vehicles in communities
Grid-connected photovoltaic (PV) systems have been dependent on supporting schemes to be competitive with conventional electricity generation. Selling prices of PV power production are now lower than
Real-Time Residential-Side Joint Energy Storage Management and Load Scheduling With Renewable Integration
TLDR
The proposed real-time scheduling and storage control solution has a bounded performance guarantee from the optimal ${T}$ -slot look-ahead solution, and is asymptotically equivalent to it as the battery capacity and time period goes to infinity.
A survey on energy trading in smart grid
TLDR
An overview of distributed energy trading concepts in smart grid, identifying the motivation and the desired outcomes of energy trading framework, and presenting the enabling technologies that are required to generate, store, and communicate with the trading agencies.
...
1
2
...