인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
피인용 0
초록·키워드
Energy is always considered as fuel for growth of a country. Reduction of conventional energy resources, global environmental concerns and the ever increasing need of energy, are opening up new opportunities for utilization of renewable energy resources. Solar energy being easy to harness, non-polluting and never ending is one of the best renewable energy sources for electricity generation in present and future time. Due to its random and intermittent nature, PV plants require the adoption of an emergency diesel backup along with battery storage system and load management strategy to compensate fluctuations and to meet the load demand during night hours. Efficient, economic and technical model of fuzzy logic based load management for PV-diesel hybrid system with battery storage and dump load is being presented in this paper. Our aim is to present design and load management strategy for PV-Diesel hybrid system with battery storage and dump load to maximize the system performance and economic profitability. Performance of the proposed hybrid system is verified by simulation study. Simulation results showed that proposed system can overcome the disturbance of external environmental changes, and controls the energy flow in efficient and economical way. This proposed system is much effective, faster than hard switching control techniques presented in past.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2020-003-000428861
