MAXIMIZING RENEWABLE ENERGY PENETRATION IN THE GALAPAGOS ISLANDS BY USING ENERGY STORAGE SYSTEMS
- 주제(키워드) RENEWABLE ENERGY , ENERGY STORAGE SYSTEMS , MICROGRIDS , DECENTRALIZED GENERATION
- 발행기관 아주대학교
- 지도교수 Jung, Jae Sung
- 발행년도 2019
- 학위수여년월 2019. 2
- 학위명 석사
- 학과 국제대학원 융합에너지학과
- 실제URI http://www.dcollection.net/handler/ajou/000000028231
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
Renewable Energy has increased its participation in the last decades, and nowadays solar, wind, geothermal and waste energy represents around 7% of total electricity production worldwide [1]. Depending on the renewable energy source, its integration, and especially operation, it requires detailed technical and economic analyses. Due to its topology, electrical power infrastructure in islands or remote areas is small and weak. Frequently, these types of systems depend on thermal diesel generation, and renewable energy integration is a big challenge, because of intermittent and fluctuant patterns of natural sources such as solar irradiation and wind speed especially. Energy Storage Systems-ESS use as a solution to grid stabilization and reduction of operational costs by optimization the use of renewable resources principally. By this study it will determine the power capacity of energy storage facilities by size, to flexible and maximize renewable energy penetration, reducing current operational costs and increasing the reliability of San Cristobal Microgrid. For that, it will select a computer tool to determine the optimal size of energy storage systems.
more목차
Table of Contents
Abstract i
List of Figures iii
List of Tables v
1. Introduction 1
1.1. Methodology 2
1.2. Hypotheses 3
2. The electric power industry 3
2.1. Generation of electricity 6
2.1.1. Conventional power plants 9
2.1.2. Non - Conventional power plants 11
3. Energy Storage Systems 14
3.1. Electrochemical Energy Storage Technologies 18
3.2. Mechanical energy storage technologies 19
4. San Cristobal Island Microgrid 21
4.1. Generation system 22
4.2. Load Demand 26
4.3. Electricity tariffs 27
5. Simulation Software 29
5.1. Distributed Energy Resources Customer Adoption Model, DER-CAM 33
5.1.1. DER-CAM applications 37
6. Modeling and simulations of San Cristobal Microgrid 39
6.1. Simulations and results 43
Conclusions 51
Recommendations 53
References 54
