풍력단지 변동출력 보상용 1 MJ급 SMES의 설계 및 운전특성 해석
- Alternative Title
- A Study on the Design and Characteristic Analysis of the 1 MJ Class SMES for Variable Electric Power Compensation of Wind Farm
- Abstract
- In wind power farm, the output fluctuation is strongly influenced by the
change of weather condition. In case of the wind power energy output
exceeds the critical margin of the total power generation sources (±10%), it
will surely disturb the stability of the electric power system, as a result, the
electric power system's quality will be debased. In consequence of this
reason, the research has focused on improving the performance of wind
power energy output by compensating the fluctuation power. It means the
output energy will be emitted or absorbed by electrical energy storage (EES)
whenever it is either insufficient or superfluous, respectively.
Among various kinds of EES, Superconducting magnetic energy storage
(SMES) is widely used nowadays since it can quickly charge and discharge
high density energy. It also has a very profitable performance to compensate
the output energy fluctuation because of surpassing charging and discharging
characteristics. However, the current variation of superconducting magnet,
which is generated during charging and discharging period, will provoke
electromagnetic losses. These losses is composed by the two main losses:
magnetization loss within superconducting wire and eddy current loss in the
surrounding metallic components. They finally lead to the heat disturbance
which is a decisive effect on SMES stability performance when SMES
operates in cryogenics condition. In this paper, the optimal design of HTS
magnet for 1MJ SMES system was carried out. The electric power output
fluctuation in wind farm was effectively improved by applying SMES system
application instead of conventional EESs. Moreover, the electromagnetic losses
in SMES were calculated in term of numerical analysis method with current
variation, and thermal characteristic of SMES was also analyzed by using 3D
finite-element analysis (3D FEA).
- Author(s)
- 박사일
- Issued Date
- 2014
- Awarded Date
- 2015. 2
- Type
- Dissertation
- URI
- http://dcoll.jejunu.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000007048
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