Study on the ESS-VRB state of charge estimation
There is a new type of Energy Storage System (ESS) named Vanadium Redox Battery (VRB) System, which can be used to solve some problems brought by the development of renewable energy. For instance, it shows a good potential for shaving power grid peak, smooth the fluctuation and improve the power...
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| Format: | Thesis |
| Language: | English |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/10356/68744 |
| _version_ | 1811694349037076480 |
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| author | Lei, Yuze |
| author2 | Tseng King Jet |
| author_facet | Tseng King Jet Lei, Yuze |
| author_sort | Lei, Yuze |
| collection | NTU |
| description | There is a new type of Energy Storage System (ESS) named Vanadium Redox
Battery (VRB) System, which can be used to solve some problems brought by the
development of renewable energy. For instance, it shows a good potential for shaving
power grid peak, smooth the fluctuation and improve the power quality. In
addition,the vanadium redox battery system has been employed in large scale energy
storage due to its high energy efficiency, long cycling life and a low cost. This
dissertation presents an equivalent electrical circuit model to describe the charge
characteristic of vanadium redox battery (VRB). The model neglect the effect of
temperature on the battery performance for the simplicity. The state of charge (SOC)
of VRB is an indication of how much energy is stored in the battery. It is very
necessary to have the accurate SOC estimation of VRB in practical situation when
the battery is employed to the power system. To make the battery’s state of charge
estimation more accurate, this work proposed an online parameters identification
algorithm for the VRB model. One of the VRB models is The Thevenin model which
will be employed in this simulation. The Matlab/Simulink software will be employed
to model the VRB battery and process the data with Recursive least squares methods.
The estimation of SOC optimize the battery’s operation and management. |
| first_indexed | 2024-10-01T07:06:09Z |
| format | Thesis |
| id | ntu-10356/68744 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:06:09Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/687442023-07-04T15:04:50Z Study on the ESS-VRB state of charge estimation Lei, Yuze Tseng King Jet School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering There is a new type of Energy Storage System (ESS) named Vanadium Redox Battery (VRB) System, which can be used to solve some problems brought by the development of renewable energy. For instance, it shows a good potential for shaving power grid peak, smooth the fluctuation and improve the power quality. In addition,the vanadium redox battery system has been employed in large scale energy storage due to its high energy efficiency, long cycling life and a low cost. This dissertation presents an equivalent electrical circuit model to describe the charge characteristic of vanadium redox battery (VRB). The model neglect the effect of temperature on the battery performance for the simplicity. The state of charge (SOC) of VRB is an indication of how much energy is stored in the battery. It is very necessary to have the accurate SOC estimation of VRB in practical situation when the battery is employed to the power system. To make the battery’s state of charge estimation more accurate, this work proposed an online parameters identification algorithm for the VRB model. One of the VRB models is The Thevenin model which will be employed in this simulation. The Matlab/Simulink software will be employed to model the VRB battery and process the data with Recursive least squares methods. The estimation of SOC optimize the battery’s operation and management. Master of Science (Power Engineering) 2016-05-31T08:01:36Z 2016-05-31T08:01:36Z 2016 Thesis http://hdl.handle.net/10356/68744 en 71 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Lei, Yuze Study on the ESS-VRB state of charge estimation |
| title | Study on the ESS-VRB state of charge estimation |
| title_full | Study on the ESS-VRB state of charge estimation |
| title_fullStr | Study on the ESS-VRB state of charge estimation |
| title_full_unstemmed | Study on the ESS-VRB state of charge estimation |
| title_short | Study on the ESS-VRB state of charge estimation |
| title_sort | study on the ess vrb state of charge estimation |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/68744 |
| work_keys_str_mv | AT leiyuze studyontheessvrbstateofchargeestimation |