Optimal coordination of Battery Energy Storages and Demand Response Programs with application to wind integration

Author(s):  
E. Heydarian-Forushani ◽  
M. E. H. Golshan ◽  
M. Shafie-khah ◽  
J. P. S. Catalao
Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2484
Author(s):  
Salwan Ali Habeeb ◽  
Marcos Tostado-Véliz ◽  
Hany M. Hasanien ◽  
Rania A. Turky ◽  
Wisam Kaream Meteab ◽  
...  

With the development of electronic infrastructures and communication technologies and protocols, electric grids have evolved towards the concept of Smart Grids, which enable the communication of the different agents involved in their operation, thus notably increasing their efficiency. In this context, microgrids and nanogrids have emerged as invaluable frameworks for optimal integration of renewable sources, electric mobility, energy storage facilities and demand response programs. This paper discusses a DC isolated nanogrid layout for the integration of renewable generators, battery energy storage, demand response activities and electric vehicle charging infrastructures. Moreover, a stochastic optimal scheduling tool is developed for the studied nanogrid, suitable for operators integrated into local service entities along with the energy retailer. A stochastic model is developed for fast charging stations in particular. A case study serves to validate the developed tool and analyze the economical and operational implications of demand response programs and charging infrastructures. Results evidence the importance of demand response initiatives in the economic profit of the retailer.


Author(s):  
Hassan Jalili ◽  
Pierluigi Siano

Abstract Demand response programs are useful options in reducing electricity price, congestion relief, load shifting, peak clipping, valley filling and resource adequacy from the system operator’s viewpoint. For this purpose, many models of these programs have been developed. However, the availability of these resources has not been properly modeled in demand response models making them not practical for long-term studies such as in the resource adequacy problem where considering the providers’ responding uncertainties is necessary for long-term studies. In this paper, a model considering providers’ unavailability for unforced demand response programs has been developed. Temperature changes, equipment failures, simultaneous implementation of demand side management resources, popular TV programs and family visits are the main reasons that may affect the availability of the demand response providers to fulfill their commitments. The effectiveness of the proposed model has been demonstrated by numerical simulation.


2011 ◽  
Vol 88 (9) ◽  
pp. 3257-3269 ◽  
Author(s):  
M. Parsa Moghaddam ◽  
A. Abdollahi ◽  
M. Rashidinejad

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