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.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 김화중
- 발행연도
- 2017
- 저작권
- 인하대학교 논문은 저작권에 의해 보호받습니다.
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- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
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초록· 키워드
오류제보하기
본 논문은 대한민국 제주도의 전기차 충전소 입지선정 계획에 관한 사례연구를다룬다. 본 논문의 목적은 모든 수요를 충족함과 더불어 충전소를 이용하는 수요, 즉 충전소간의 부하를 평준화할 수 있는 최적의 입지를 결정하는 것이다. 정부 또는 비영리 단체의 전기차 충전소 공공 서비스에서 전기차 충전소 입지들의 부하 평준화(load balancing)는 관련 서비스 네트워크를 평가하거나 선전하기 위한 주요 척도가 될 수 있다. 그럼에도 불구하고, 부하 평준화 기법은 이전연구들에서 큰 주목을 받지 못했다. 따라서 혼합정수계획모형의 제약식과 목적식에 부하 평준화 기법을 적용하였다. 또한 운전자가 목적지까지의 최단거리 경로 대신 우회경로를 선택하여 충전소를 이용할 수 있도록 최대 한계 우회거리를 고려하였다. 효과적으로 문제를 해결하기 위하여 휴리스틱 알고리즘을 개발하였다. 본 논문에서 제안한 휴리스틱 알고리즘에서 최대 한계 우회거리와 전기차 충전소 건설을 위한 예산 제약조건이 미치는 영향을 확인하기 위하여 다양한 수치해석을 수행하였다. 그 후 도출된 분석결과로 얻을 수 있는 영향력과 현실성 있는 시사점을 논의하였다.
목차
제1장 서론 ················································································· 11.1 연구배경 및 목적 ······························································· 11.2 선행연구 고찰 ···································································· 3제2장 문제 정의 및 수리모형 ················································· 62.1 문제 설명 및 정의 ······························································ 62.2 혼합정수계획모형 ······························································ 8제3장 지역 탐색 기반의 휴리스틱 ······································· 103.1 휴리스틱 개발의 필요성 ················································· 103.2 전체 휴리스틱 절차 ························································· 113.3 초기해 생성 ······································································ 123.4 이웃해 생성 ······································································ 143.4.1 지역 탐색 단계 ····························································· 143.4.2 충전소 조합 재구성 단계 ············································ 16제4장 실험 데이터 및 결과 분석 ········································· 184.1 실험 데이터 ······································································ 184.2 실험결과 및 분석 ····························································· 21제5장 결론 및 향후 연구 ······················································· 27참고문헌 ·················································································· 29
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