Battery energy storage system assessment in a designed battery controller for load leveling and peak shaving applications

2017 ◽  
Vol 9 (4) ◽  
pp. 044107 ◽  
Author(s):  
Kumuthawathe Ananda-Rao ◽  
Rosnazri Ali ◽  
S. Taniselass
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Peak Shaving ◽  
Battery Energy Storage ◽  
System Assessment ◽  
Load Leveling ◽  
Battery Energy

scholarly journals Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2048 ◽  
Author(s):  
Rodrigo Martins ◽  
Holger Hesse ◽  
Johanna Jungbauer ◽  
Thomas Vorbuchner ◽  
Petr Musilek
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Optimization Approach ◽  
Battery Energy Storage System ◽  
Peak Shaving ◽  
Battery Energy Storage ◽  
Battery Energy ◽  
Power Capability

Recent attention to industrial peak shaving applications sparked an increased interest in battery energy storage. Batteries provide a fast and high power capability, making them an ideal solution for this task. This work proposes a general framework for sizing of battery energy storage system (BESS) in peak shaving applications. A cost-optimal sizing of the battery and power electronics is derived using linear programming based on local demand and billing scheme. A case study conducted with real-world industrial profiles shows the applicability of the approach as well as the return on investment dependence on the load profile. At the same time, the power flow optimization reveals the best storage operation patterns considering a trade-off between energy purchase, peak-power tariff, and battery aging. This underlines the need for a general mathematical optimization approach to efficiently tackle the challenge of peak shaving using an energy storage system. The case study also compares the applicability of yearly and monthly billing schemes, where the highest load of the year/month is the base for the price per kW. The results demonstrate that batteries in peak shaving applications can shorten the payback period when used for large industrial loads. They also show the impacts of peak shaving variation on the return of investment and battery aging of the system.

A novel peak shaving algorithm for islanded microgrid using battery energy storage system

Energy ◽  
2020 ◽  
Vol 196 ◽  
pp. 117084 ◽  
Author(s):  
Moslem Uddin ◽  
M.F. Romlie ◽  
M.F. Abdullah ◽  
ChiaKwang Tan ◽  
GM Shafiullah ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Peak Shaving ◽  
Battery Energy Storage ◽  
Islanded Microgrid ◽  
Battery Energy

scholarly journals Effects of a Battery Energy Storage System on the Operating Schedule of a Renewable Energy-Based Time-of-Use Rate Industrial User under the Demand Bidding Mechanism of Taipower

2021 ◽  
Vol 13 (6) ◽  
pp. 3576
Author(s):  
Cheng-Ta Tsai ◽  
Yu-Shan Cheng ◽  
Kuen-Huei Lin ◽  
Chun-Lung Chen
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Peak Shaving ◽  
Battery Energy Storage ◽  
Operating Schedule ◽  
Bidding Mechanism ◽  
Battery Energy

Due to the increased development of the smart grid, it is becoming crucial to have an efficient energy management system for a time-of-use (TOU) rate industrial user in Taiwan. In this paper, an extension of the direct search method (DSM) is developed to deal with the operating schedule of a TOU rate industrial user under the demand bidding mechanism of Taipower. To maximize the total incentive obtained from the Taiwan Power Company (TPC, namely Taipower), several operational strategies using a battery energy storage system (BESS) are evaluated in the study to perform peak shaving and realize energy conservation. The effectiveness of the proposed DSM algorithm is validated with the TOU rate industrial user of the TPC. Numerical experiments are carried out to provide a favorable indication of whether to invest in a BESS for the renewable energy-based TOU rate industrial user in order to execute the demand bidding program (DBP).

scholarly journals Battery Energy Storage System Integration and Monitoring Method Based on 5G and Cloud Technology

2021 ◽  
Vol 243 ◽  
pp. 01007
Author(s):  
Xiangjun Li ◽  
Lizhi Dong ◽  
Shaohua Xu
Keyword(s):  
Energy Storage ◽  
Rapid Development ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Peak Shaving ◽  
Monitoring Method ◽  
Battery Energy Storage ◽  
Cloud Technology ◽  
Battery Energy

The large-scale battery energy storage scatted accessing to distribution power grid is difficult to manage, which is difficult to make full use of its fast response ability in peak shaving and frequency modulation. With the rapid development of 5G and cloud technology, it is possible to realize interconnection of distributed battery energy storage system (BESS), cloud integration of energy storage system (ESS) and data edge computing. In this paper, a BESS integration and monitoring method based on 5G and cloud technology is proposed, containing the system overall architecture, 5G key technology points, system margin calculation. Therefore, rapid, accurate and flexible control of BESS can be realized, which make more use of BESS in peak shaving and shifting, new energy consumption, electric power bidding platform and other fields.

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