Distributed scheduling of multi-carrier energy systems considering integrated demand response program and load volatility

2021 ◽  
Vol 13 (4) ◽  
pp. 045502
Author(s):  
Feixiong Chen ◽  
Hongjie Deng ◽  
Zhenguo Shao
Keyword(s):  
Demand Response ◽  
Energy Systems ◽  
Distributed Scheduling ◽  
Demand Response Program ◽  
Carrier Energy

Partial surrogate cuts method for network-constrained optimal scheduling of multi-carrier energy systems with demand response

Energy ◽  
2020 ◽  
Vol 196 ◽  
pp. 117119
Author(s):  
Honglin Chen ◽  
Mingbo Liu ◽  
Yingqi Liu ◽  
Shunjiang Lin ◽  
Zhibin Yang
Keyword(s):  
Demand Response ◽  
Energy Systems ◽  
Optimal Scheduling ◽  
Carrier Energy

scholarly journals Developing a two-step method to implement residential demand response programmes in multi-carrier energy systems

2018 ◽  
Vol 12 (11) ◽  
pp. 2614-2623 ◽  
Author(s):  
Farshad Jafari ◽  
Haidar Samet ◽  
Ali Reza Seifi ◽  
Mohammad Rastegar
Keyword(s):  
Demand Response ◽  
Energy Systems ◽  
Step Method ◽  
Carrier Energy ◽  
Residential Demand

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>

Standardized modelling and economic optimization of multi-carrier energy systems considering energy storage and demand response

2019 ◽  
Vol 182 ◽  
pp. 126-142 ◽  
Author(s):  
Tianhao Liu ◽  
Dongdong Zhang ◽  
Shuyao Wang ◽  
Thomas Wu
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Energy Systems ◽  
Economic Optimization ◽  
Carrier Energy

Opportunistic Info-Gap Approach for Optimization of Electrical and Heating Loads in Multi-Energy Systems in the Presence of a Demand Response Program

2021 ◽  
Author(s):  
Morteza Vahid-Ghavidel ◽  
Mohammad S. Javadi ◽  
Sergio F. Santos ◽  
Matthew Gough ◽  
Miadreza Shafie-khah ◽  
...  
Keyword(s):  
Demand Response ◽  
Energy Systems ◽  
Demand Response Program ◽  
Heating Loads

scholarly journals Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4597
Author(s):  
Zi-Xuan Yu ◽  
Meng-Shi Li ◽  
Yi-Peng Xu ◽  
Sheraz Aslam ◽  
Yuan-Kang Li
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Positive Impact ◽  
Environmental Aspects ◽  
Component Size ◽  
Cost Of Energy ◽  
Four Seasons ◽  
Demand Response Program ◽  
Real Time Pricing

The optimal planning of grid-connected microgrids (MGs) has been extensively studied in recent years. While most of the previous studies have used fixed or time-of-use (TOU) prices for the optimal sizing of MGs, this work introduces real-time pricing (RTP) for implementing a demand response (DR) program according to the national grid prices of Iran. In addition to the long-term planning of MG, the day-ahead operation of MG is also analyzed to get a better understanding of the DR program for daily electricity dispatch. For this purpose, four different days corresponding to the four seasons are selected for further analysis. In addition, various impacts of the proposed DR program on the MG planning results, including sizing and best configuration, net present cost (NPC) and cost of energy (COE), and emission generation by the utility grid, are investigated. The optimization results show that the implementation of the DR program has a positive impact on the technical, economic, and environmental aspects of MG. The NPC and COE are reduced by about USD 3700 and USD 0.0025/kWh, respectively. The component size is also reduced, resulting in a reduction in the initial cost. Carbon emissions are also reduced by 185 kg/year.

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