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추자도 지역의 분산전원 도입을 고려한 에너지저장장치 용량산정

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Alternative Title
Determination of ESS Capacity for Introducing the Distributed Generation Facilities in Chuja Island
Abstract
In this dissertation, the modeling of distributed generation facilities for the power system of Chuja island is performed for the energy independence and carbon-free island. The electric power facilities are modeled with consideration of renewable grid code and power source regulation. Through the modeling result, the most stable configuration of electric power facilities is proposed.
In the simulation, the wind turbine system, photovoltaic system and ESS implement the PQ control, and diesel generator implement the CVCF control.
The microgrid modeling of Chuja island is proceeded with consideration of two points of view for the frequency variation and the depression rate of renewable energy by using the PSCAD/EMTDC simulation program and MATLAB.

1) Analysis of the frequency variation on the capacity of distributed generation.
2) Analysis of the depression rate of renewable energy on the capacity of distributed generation.

The capacity of renewable energy and ESS have been estimated with consideration of the constant power range of disel generator and the stabilization of Chuja power system. By extension of renewable energy, the capacity range of ESS has been proposed.
This research is considered to contribute widely to capacity estimation of electric power facilities for stand-alone microgrid in the future.
Author(s)
이도헌
Issued Date
2015
Awarded Date
2015. 8
Type
Dissertation
URI
http://dcoll.jejunu.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000007202
Alternative Author(s)
Lee, Do Heon
Department
대학원 풍력공학과 풍력전기·제어시스템전공
Table Of Contents
Ⅰ. 서 론 1

Ⅱ. 추자도 전력계통 현황 2
2.1 추자도 부하 2
2.2 추자도 전력설비 3

Ⅲ. 분산전원설비의 모델링 5
3.1 분산전원설비 종류 5
3.2 분산전원설비의 모델링 7

Ⅳ. 추자도의 마이크로그리드용 에너지저장장치 용량산정 16
4.1 추자도 계통 모델링 및 해석 16
4.2 에너지저장장치 용량산정 24
4.3 결과 및 고찰 31

Ⅴ. 결 론 35

참 고 문 헌 37
Degree
Master
Publisher
제주대학교 대학원
Citation
이도헌. (2015). 추자도 지역의 분산전원 도입을 고려한 에너지저장장치 용량산정
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Faculty of Wind Energy Engineering > Wind Power Electricity and Control System Engineering
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