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.
초록·키워드
As electric vehicles are recognized for their potential to mitigate greenhouse gas emissions, their adoption has expanded beyond passenger cars to include commercial vehicles such as buses and trucks. Among these, electric buses are notable for their contribution to improving air quality in densely populated urban areas. However, the widespread deployment of electric buses and their associated charging infrastructure has introduced challenges in optimizing power grid stability and managing limited charging resources. Vehicle-to-Grid (V2G) technology, enabling bidirectional energy transfer between vehicles and the grid, has emerged as a promising solution. In this paper, we address a charging and discharging scheduling problem for an electric bus depot equipped with V2G technology. We propose a mixed integer linear programming model which optimizes charging and discharging schedules to achieve two objectives: maximizing net discharging during peak demand hours and minimizing overall operation costs. A hierarchical approach is employed to deal with the two objective functions. To enhance computational efficiency for large-scale instances, a heuristic algorithm based on the optimization model is also proposed. Computational experiments were conducted to demonstrate the advantages of the proposed optimization model and algorithm. The results indicate the potential of V2G technology to not only stabilize the power grid but also provide economic benefits to depot operators.
본문·목차
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