Economic‐environmental stochastic scheduling for hydrogen storage‐based smart energy hub coordinated with integrated demand response program

2021 ◽  
Author(s):  
Masoud Agabalaye‐Rahvar ◽  
Amin Mansour‐Saatloo ◽  
Mohammad Amin Mirzaei ◽  
Behnam Mohammadi‐Ivatloo ◽  
Kazem Zare
Keyword(s):  
Hydrogen Storage ◽  
Demand Response ◽  
Stochastic Scheduling ◽  
Energy Hub ◽  
Demand Response Program

Risk-averse stochastic operation of a power system integrated with hydrogen storage system and wind generation in the presence of demand response program

2019 ◽  
Vol 44 (59) ◽  
pp. 31204-31215 ◽  
Author(s):  
Dongmin Yu ◽  
Jiawei Wang ◽  
Dezhi Li ◽  
Kittisak Jermsittiparsert ◽  
Sayyad Nojavan
Keyword(s):  
Power System ◽  
Hydrogen Storage ◽  
Demand Response ◽  
Storage System ◽  
Wind Generation ◽  
Risk Averse ◽  
Hydrogen Storage System ◽  
Demand Response Program

Hydrogen Storage Optimal Scheduling for Fuel Supply and Capacity-Based Demand Response Program Under Dynamic Hydrogen Pricing

2019 ◽  
Vol 10 (4) ◽  
pp. 4531-4542 ◽  
Author(s):  
Nader A. El-Taweel ◽  
Hadi Khani ◽  
Hany E. Z. Farag
Keyword(s):  
Hydrogen Storage ◽  
Demand Response ◽  
Optimal Scheduling ◽  
Fuel Supply ◽  
Demand Response Program

Optimal stochastic scheduling of cryogenic energy storage with wind power in the presence of a demand response program

2019 ◽  
Vol 130 ◽  
pp. 268-280 ◽  
Author(s):  
Farshad Kalavani ◽  
Behnam Mohammadi-Ivatloo ◽  
Kazem Zare
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Demand Response ◽  
Stochastic Scheduling ◽  
Demand Response Program

scholarly journals Robust operation of microgrid energy system under uncertainties and demand response program

2020 ◽  
Vol 17 (2) ◽  
pp. 1005
Author(s):  
Sahar Seyyedeh Barhagh ◽  
Amin Mohammadpour Shotorbani ◽  
Behnam Mohammadi-Ivatloo ◽  
Kazem Zare ◽  
Ali Farzamnia
Keyword(s):  
Power Systems ◽  
Demand Response ◽  
Optimization Problems ◽  
Energy Systems ◽  
Stochastic Scheduling ◽  
Energy System ◽  
Optimization Method ◽  
Operating Conditions ◽  
Mixed Integer ◽  
Demand Response Program

<span>Microgrid energy systems are one of suitable solutions to the available problems in power systems such as energy losses, and resiliency issues. Local generation by these energy systems can reduce the role of the upstream network, which is a challenge in risky conditions. Also, uncertain behavior of electricity consumers and generating units can make the optimization problems sophisticated. So, uncertainty modeling seems to be necessary. In this paper, in order to model the uncertainty of generation of photovoltaic systems, a scenario-based model is used, while the robust optimization method is used to study the uncertainty of load. Moreover, the stochastic scheduling is performed to model the uncertain nature of renewable generation units. Time-of–use rates of demand response program (DRP) is also utilized to improve the system economic performance in different operating conditions. Studied problem is modeled using a mixed-integer linear programming (MILP). The general algebraic modeling system (GAMS) package is used to solve the proposed problem. A sample microgrid is studied and the results with DRP and without DRP are compared. It is shown that same robustness is achieved with a lower increase in the operation cost using DRP.</span>

Risk‐constrained energy management of PV integrated smart energy hub in the presence of demand response program and compressed air energy storage

2019 ◽  
Vol 13 (6) ◽  
pp. 998-1008 ◽  
Author(s):  
Mohammad Jadidbonab ◽  
Amirhossein Dolatabadi ◽  
Behnam Mohammadi‐Ivatloo ◽  
Mehdi Abapour ◽  
Somayeh Asadi
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Demand Response ◽  
Compressed Air ◽  
Compressed Air Energy Storage ◽  
Energy Hub ◽  
Demand Response Program
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