Research on Optimization Method of Distributed Energy Storage Cluster for Power Grid Peak Shaving

2020 ◽  
Author(s):  
Shiming Tian ◽  
Dezhi Li ◽  
Yang Zhang ◽  
Zhengxian Zheng ◽  
Feixiang Gong ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Grid ◽  
Optimization Method ◽  
Distributed Energy ◽  
Peak Shaving ◽  
Distributed Energy Storage ◽  
Storage Cluster

scholarly journals Orderly grid-connected cooperative scheduling control strategy based on distributed energy storage for electric vehicles

2021 ◽  
Vol 2121 (1) ◽  
pp. 012030
Author(s):  
Xiaomei Li ◽  
Rong Cao ◽  
Wenbo Hao ◽  
Mingyu Xu ◽  
Heng Hu ◽  
...  
Keyword(s):  
Energy Storage ◽  
Objective Function ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Large Scale ◽  
Distributed Energy ◽  
Peak Shaving ◽  
Grid Connection ◽  
Distributed Energy Storage ◽  
Cooperative Scheduling

Abstract Aiming at the problem that large-scale disorderly grid connection of electric vehicles negatively affects grid operation and causes a large amount of abandoned wind and abandoned light, an orderly grid connection cooperative scheduling control strategy based on distributed energy storage of electric vehicles is proposed. The strategy takes the charging and discharging price as the lever to guide the users to charge and discharge in an orderly manner, takes the optimal economics on the user side and the optimal cost of power generation on the grid side as the objective function, and uses linear weighting normalization to convert the multi-objective function into a single objective function for simulation solution. The simulation results show that the effect of peak shaving and valley filling can be achieved on the basis of satisfying users’ demand, and renewable energy can be effectively consumed.

scholarly journals Location and Capacity Optimization of Distributed Energy Storage System in Peak-Shaving

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 513 ◽  
Author(s):  
Ruiyang Jin ◽  
Jie Song ◽  
Jie Liu ◽  
Wei Li ◽  
Chao Lu
Keyword(s):  
Energy Storage ◽  
Large Scale ◽  
Storage System ◽  
Optimization Method ◽  
Energy Storage System ◽  
Capacity Allocation ◽  
Distributed Energy ◽  
Capacity Optimization ◽  
Location Selection ◽  
Distributed Energy Storage

The peak-valley characteristic of electrical load brings high cost in power supply coming from the adjustment of generation to maintain the balance between production and demand. Distributed energy storage system (DESS) technology can deal with the challenge very well. However, the number of devices for DESS is much larger than central energy storage system (CESS), which brings challenges for solving the problem of location selection and capacity allocation with large scale. We formulate the charging/discharging model of DESS and economic analysis. Then, we propose a simulation optimization method to determine the locations to equip with DESSs and the storage capacity of each location. The greedy algorithm with Monte Carlo simulation is applied to solve the location and capacity optimization problem of DESS over a large scale. Compared with the global optimal genetic algorithm, the case study conducted on the load data of a district in Beijing validates the efficiency and superiority of our method.

Fiber-reinforced Monolithic Supercapacitor with Interdigitated Interfaces

2021 ◽  
Author(s):  
Fanshu Yuan ◽  
Devashish Salpekar ◽  
Abhijit Baburaj ◽  
Anand B. Puthirath ◽  
Sakib Hassan ◽  
...  
Keyword(s):  
Energy Storage ◽  
Emerging Technologies ◽  
Fiber Reinforced ◽  
Distributed Energy ◽  
Power Devices ◽  
Structural Power ◽  
Distributed Energy Storage ◽  
Essential Components ◽  
Storage Networks

Supercapacitors will serve as essential components of distributed energy storage networks and structural power devices in many emerging technologies. Current supercapacitors are engineered, however, using ‘sandwich’ architecture that undermines their...

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