Optimal Operation of a Multi-energy Microgrid with Multiple Demand Response Programs

Author(s):  
Zan Zhou ◽  
Yumin Chen ◽  
Zhengmao Li ◽  
Yan Xu
2018 ◽  
Vol 14 (2) ◽  
pp. 100-107 ◽  
Author(s):  
Heydar Chamandoust

AbstractCurrently, microgrids are regarded one of the main substations in distribution networks that generate electrical energy locally. The advantages of microgrids include easy management, optimization, and highly reliable supply. In this paper, the recommended model is based on economic and emission optimal scheduling in connection to the main grid mode; implementation model implies the short-term mode with optimal operation units and the use of real-time pricing (RTP) plan. In this study, a multi-objective function for operating costs and emission with the augmented ɛ-constraint method has been considered; fuzzy decision-making process has been employed to obtain the best solution. In addition, it has been considered that a microgrid has interruptible and shiftable loads that can participate in demand response programs. The presented results have been evaluated based on different demand response programs.


Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1452 ◽  
Author(s):  
Anh-Duc Nguyen ◽  
Van-Hai Bui ◽  
Akhtar Hussain ◽  
Duc-Huy Nguyen ◽  
Hak-Man Kim

2018 ◽  
Vol 165 ◽  
pp. 199-213 ◽  
Author(s):  
Mohammad Saeed Misaghian ◽  
Mohammadali Saffari ◽  
Mohsen Kia ◽  
Mehrdad Setayesh Nazar ◽  
Alireza Heidari ◽  
...  

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.


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