Configuration of Energy Storage System in Distribution Network Planning Considering Distributed Generation

2021 ◽  
Author(s):  
Chunyi Wang ◽  
Liyan Wang ◽  
Fang Chen ◽  
Xiandong Li ◽  
Qiang Xu ◽  
...  
Keyword(s):  
Energy Storage ◽  
Distributed Generation ◽  
Storage System ◽  
Distribution Network ◽  
Network Planning ◽  
Energy Storage System ◽  
Distribution Network Planning

scholarly journals Distribution System Renewable Hosting Capacity Maximization with Second-Use Electric Vehicle Storage Using Critical Capacity Retention Calculation Model

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 552 ◽  
Author(s):  
Hang Jiang ◽  
Li Tong ◽  
Jian Zhao ◽  
Qiushi Zhang ◽  
Jingjing Zhao ◽  
...  
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Distributed Generation ◽  
Distribution System ◽  
Storage System ◽  
Distribution Network ◽  
Energy Storage System ◽  
Calculation Model ◽  
Upper And Lower Bounds ◽  
Second Use

The continuous increase of the penetration of distributed generation in the distribution network poses more severe challenges for its full accommodation. In this context, an energy storage system can be installed to enhance the ability to accommodate renewable energy because of its high flexibility. However, the investment cost of brand new energy storage equipment is so high that the widespread application of storage system in the distribution system has been limited. This article proposes a method, which aimed at optimizing energy storage dispatching in a distribution network, and takes the use of second-use electric vehicles (EV) batteries into account. A calculation model of power battery second-use capacity was established, the upper and lower bounds of the initial capacity of second-use energy storage system (SUESS) can be determined after the reorganization of the retired batteries, and then a multi-objective optimal dispatching model for the distribution system with SUESS can be established with reference to the capacity attenuation model and the daily mileage statistics model of the electric vehicle. The case study results show that configured SUESS in the distribution network can not only meet the needs of the distribution network to fully accommodate distributed generation, but also delay the upgrade of the distribution network.

Optimal allocation of distributed energy storage in active distribution network via hybrid teaching learning and multi-objective particle swarm optimization algorithm

2021 ◽  
pp. 002072092098369
Author(s):  
Jijun Liu ◽  
Yuxin Bai ◽  
Yingfeng He
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Storage ◽  
Optimal Allocation ◽  
Storage System ◽  
Distribution Network ◽  
Particle Swarm ◽  
Economic Cost ◽  
Energy Storage System ◽  
Swarm Optimization ◽  
Active Distribution Network

This work aims at solving complex problems of the optimal scheduling model of active distribution network, teaching strategies are proposed to improve the global search ability of particle swarm optimization. Moreover, based on the improved Euclidean distance cyclic crowding sorting strategy, the convergence ability of Li Zhiquan algorithm is improved. With the cost and voltage indexes of the energy storage system of the distribution network as the goal, different optimized configuration schemes are constructed, and the improved HTL-MOPSO algorithm is adopted to find the solution. The results show that compared with the traditional TV-MOPSO algorithm, the proposed algorithm has better convergence performance and optimization ability, and has a lower economic cost. In short, the algorithm proposed can provide a basis for improving the optimization of active distribution network scheduling strategies.

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