期刊
ENERGIES
卷 10, 期 10, 页码 -出版社
MDPI AG
DOI: 10.3390/en10101487
关键词
electric vehicle; EV charging scheduling; microgrid planning; HOMER
资金
- Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) - Ministry of Trade, Industry & Energy, Republic of Korea [20164010201010]
- Korea Electric Power Corporation [R17XA05-62]
- Korea Evaluation Institute of Industrial Technology (KEIT) [20164010201010] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Two of the most important technologies for future power systems to reduce greenhouse gas are electric vehicles (EVs) and renewable generation. When EVs become more common, the overall demand of electricity will significantly increase because EVs consume a large amount of electricity. Also, a daily load curve with EVs heavily depends on how much electricity EVs consume and when electricity is consumed. The microgrid is an important technology to promote renewable generation, and the increased demand and changed load curve should be considered in the microgrid planning stage to install robust and economical microgrids. In this paper, we propose an algorithm for microgrid planning with EV charging demand to find the most economical configuration through which to maximally utilize renewable generation. The algorithm uses a renewable generation-following EV charging scheme and HOMER. Through simulations, it is shown that the microgrid constructed by the proposed algorithm reduces the investment cost and CO2 emission.
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