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논문검색

계통유연자원을 활용한 분산에너지 계통접속 한계용량 증대 기술

원문정보

Distributed Energy System Connection Limit Capacity Increase Technology Using System Flexible Resources

박정민

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초록

영어

Due to changes in the distribution system and increased demand for renewable energy, interest in technology to increase the limit capacity of distributed energy grid connection using grid flexible resources is also increasing. Recently, the distribution system system is changing due to the increase in distributed power from renewable energy, and as a result, problems with the limited capacity of the distribution system, such as waiting for renewable energy to connect and increased overload, are occurring. According to the power generation facility status report provided by the Korea Power Exchange, of the total power generation capacity of 134,020 MW as of 2021, power generation capacity through new and renewable energy facilities is 24,855 MW, accounting for approximately 19%, and among them, power generation through solar power accounts for a total portion of the total. It was analyzed that the proportion of solar power generation facilities was high, accounting for 75%. In the future, the proportion of new and renewable energy power generation facilities is expected to increase, and accordingly, an efficient operation plan for the distribution system is needed. Advanced country-type NWAs that can integrate the operation and management of load characteristics for each line of the distribution system, power distribution, regional characteristics, and economic feasibility of distributed power in order to improve distribution network use efficiency without expanding distribution facilities due to the expansion of renewable energy. An integrated operating system is needed. In this study, in order to improve the efficiency of distribution network use without expanding distribution facilities due to the expansion of renewable energy, we developed a method that can integrate the operation and management of load characteristics for each line of the distribution system, power distribution, regional characteristics, and economic feasibility of distributed power. We want to develop an integrated operation system for NWAs similar to that of advanced countries.

목차

Abstract
1. 서론
2. 본론
2.1. 계통 영향 및 경제성을 고려한 재생에너지 발전소 운영을 위한 AI학습 데이터 수집
2.2. 일간 태양광ㆍ풍력 발전전력 및 수요전력 패턴 변화 분석
2.3. 수요전력 패턴 변화 분석
2.4. 신재생에너지 발전량 예측
2.5. 계통 영향 및 경제성을 고려한 최적운영 알고리즘 설계
2.6. 신재생에너지 및 변전소 여유용량 모니터링 서비스 구현
3. 고찰
참고문헌

저자정보

  • 박정민 Jeong Min Park. 조선이공대학교 자동화시스템과

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자료제공 : 네이버학술정보

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