인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This paper forecasts the future share of renewable energy generation in the Jeju power system by jointly considering the expansion of renewable energy facilities and the growth of electricity demand. To this end, multiple electricity demand models are developed based on the Basic Plan for Electricity Supply and Demand and are combined with renewable energy capacity plans to analyze annual and time-of-day generation shares. In addition, the variation in the share of renewable energy generation is compared under different operating conditions of HVDC with the mainland power system.
The results show that, although renewable energy generation increases, its share in total electricity supply exhibits different trends depending on changes in electricity demand, and that HVDC operating conditions have a significant impact on renewable energy hosting capacity. Based on these findings, this paper provides insights that can be used to support future power system operation and energy policy formulation aimed at expanding renewable energy.
The results show that, although renewable energy generation increases, its share in total electricity supply exhibits different trends depending on changes in electricity demand, and that HVDC operating conditions have a significant impact on renewable energy hosting capacity. Based on these findings, this paper provides insights that can be used to support future power system operation and energy policy formulation aimed at expanding renewable energy.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-26-02-096343630