scholarly journals Emission Trading Based Optimal Scheduling Strategy of Energy Hub with Energy Storage and Integrated Electric Vehicles

2020 ◽  
Vol 8 (2) ◽  
pp. 267-275 ◽  
Author(s):  
Yanhong Luo ◽  
Xinwen Zhang ◽  
Dongsheng Yang ◽  
Qiuye Sun
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Emission Trading ◽  
Optimal Scheduling ◽  
Scheduling Strategy ◽  
Energy Hub

Four-Objective Optimal Scheduling of Energy Hub Using a Novel Energy Storage, Considering Reliability and Risk Indices

2021 ◽  
Vol 40 ◽  
pp. 102731
Author(s):  
Elham Mokaramian ◽  
Hossein Shayeghi ◽  
Farzad Sedaghati ◽  
Amin Safari
Keyword(s):  
Energy Storage ◽  
Optimal Scheduling ◽  
Energy Hub ◽  
Risk Indices

scholarly journals Two-Stage Optimal Scheduling Strategy for Large-Scale Electric Vehicles

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 13821-13832 ◽  
Author(s):  
Xiuyun Wang ◽  
Chao Sun ◽  
Rutian Wang ◽  
Tianyuan Wei
Keyword(s):  
Electric Vehicles ◽  
Large Scale ◽  
Optimal Scheduling ◽  
Two Stage ◽  
Scheduling Strategy

scholarly journals Optimal Scheduling Strategy of Building Integrated Photovoltaic Microgrid Considering Virtual Energy Storage

2020 ◽  
Vol 10 (18) ◽  
pp. 6176
Author(s):  
Zhiping Cheng ◽  
Xiang Li ◽  
Zhongwen Li ◽  
Jikai Si ◽  
Shuai Xu ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Operating Cost ◽  
Research Area ◽  
Optimal Scheduling ◽  
Air Conditioner ◽  
Water Heater ◽  
Scheduling Strategy ◽  
Scheduling Model ◽  
Building Integrated Photovoltaic

Building integrated photovoltaic (BIPV) is one of the most efficient ways to utilize renewable energy in buildings. However, the stochastic characteristic of PV power generation and load challenges the optimal dispatch of the BIPV. This paper proposes an optimal scheduling strategy of BIPV microgrid considering virtual energy storage (VES), which intends to further improve the operating economy of a BIPV microgrid. Firstly, existing research findings and gaps in this research area were analyzed. Then, the mathematical model of each unit in the system was created, meanwhile, the air conditioner-based VES (ACVES) model and electric water heater-based VES (EWHVES) model are built by exploiting the heat/cold storage capability of building and the electric water heater, respectively. Next, the optimal scheduling model considering the VES is designed. Finally, the optimal scheduling model is solved by CPLEX to obtain the optimal scheduling strategy that reduces the operating cost of the system. Simulation results demonstrate that the proposed strategy can reduce the operating cost of the system. Furthermore, the VES shows the potential to replace the battery energy storage system.

Incomplete information oriented optimal scheduling of multi-energy hub systems with thermal energy storage

2021 ◽  
Vol 42 ◽  
pp. 103062
Author(s):  
Yu Huang ◽  
Jing Xu ◽  
Shan Gao ◽  
Kwang Y. Lee ◽  
Dongfeng Wang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Incomplete Information ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Optimal Scheduling ◽  
Energy Hub
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