Optimal Locating and Sizing the Energy Storage System Considering the Reconfigurability of the High Voltage Distribution Network in Urban Grids

2019 ◽  
Author(s):  
Xizhang Xizhang ◽  
Youbo liu ◽  
Xinran Yang ◽  
Fangfang Liu ◽  
Chengzhi Zhu ◽  
...  
Keyword(s):  
Energy Storage ◽  
High Voltage ◽  
Storage System ◽  
Distribution Network ◽  
Energy Storage System ◽  
Voltage Distribution

scholarly journals Open Capacity Enhancement Model of Medium Voltage Distribution Network With Mobile Energy Storage System

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 205061-205070
Author(s):  
Daoshan Huang ◽  
Bojian Chen ◽  
Ting Huang ◽  
Xiaoling Fang ◽  
Huiyu Zhang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Distribution Network ◽  
Energy Storage System ◽  
Voltage Distribution ◽  
Medium Voltage ◽  
Capacity Enhancement

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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