Optimal Energy Storage System Sizing for Peak Shaving in a NU Dormitory Building

被引：0

作者：

Mohamed, Naseef ^{[1
]}

Thanarak, Prapita ^{[1
]}

Ketjoy, Nipon ^{[1
]}

Prasatsap, Unchittha ^{[1
]}

机构：

[1] Naresuan Univ, Sch Renewable Energy & Smart Grid Technol, Phitanulok, Thailand

来源：

2023 IEEE PES 15TH ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE, APPEEC | 2023年

关键词：

Battery energy storage system; Optimization algorithm; BESS Management; Peak shaving; COST;

D O I：

10.1109/APPEEC57400.2023.10562021

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：

An optimal battery energy storage system (BESS) capacity was determined using the modified particle swarm optimization (PSO) algorithm for the NU dormitory Building 13. The BESS management strategy uses peak shaving of the electric load profile in the NU dormitory building. As well, the time-of-use tariff (TOU) was considered, and a mathematical model of BESS management was developed. The optimal BESS sizing and the efficient BESS management strategy can efficiently shave the peak load and reduce the overall electricity cost because the peak load power and the energy cost in the on-peak period are diminished. By using peak shaving in the NU dormitory building, the optimal BESS sizing of 26.68 kWh for the increased load factor criteria was determined. When the BESS was operated, the Load factor was improved by 20%, and the peak power consumption was reduced to 25.70 kW.

引用

页数：6

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