Optimizing Operations of Sodium Sulfur (NAS) Large-scale Battery Storage

被引：0

作者：

Almarzooqi, Ali ^{[1
]}

Albeshr, Hamad ^{[1
]}

Mnatsakanyan, Ashot ^{[1
]}

Alzahmi, Wadhah ^{[1
]}

Bilbao, Endika ^{[1
]}

Sgouridis, Sgouris ^{[1
]}

机构：

[1] Dubai Elect & Water Author, Res & Dev, Dubai, U Arab Emirates

来源：

2020 IEEE 11TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG) | 2020年

关键词：

energy storage; electricity markets; smart grid; power systems; TECHNOLOGIES;

D O I：

10.1109/pedg48541.2020.9244446

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Battery storage is critical for the continued growth of renewable energy sources (RES) deployment. as it mitigates RE systems intermittency. Optimal energy management and operations of the storage is important to ensure profitable utilization of the battery assets. This paper presents the optimal operations profile of sodium sulfur (NAS) battery storage (BESS), coupled with a 13 MW PV Plant in Dubai, considering different operational modes and variable wholesale tariff rates. The aim is to increase the profit by controlling BESS based on different tariff rates and solar plant production. A linear optimization algorithm is developed and applied using MATLAB. The results show the profit of the system has increased by 0.27% while the grid penalties were not avoided.

引用

页码：159 / 163

页数：5

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