몬테카를로 시뮬레이션 기반 공동주택 전기자동차 충전수요 예측을 고려한 최대부하 시간 변화 분석

다국어 초록 (Multilingual Abstract)

The penetration of Electric Vehicles(EV) has been increasing worldwide recently to reduce greenhouse gases(GHG), and the government plans to supply about 3 million EV until 2030. The EV charging pattern is determined by the ToU(Time-of-Use) tariff, and is mainly charged from 18:00 to 23:00, which is the middle load period. The EV charging demand will further increase the power demand for apartments, which surges after 18:00 after returning home, so it is necessary to accurately forecast the EV charging demand pattern. In this paper, we determine the probability variables of input data such as SoC(State-of-Charge), charging start time, and charging method of EV users to forecast the EV charging demand pattern based on Monte Carlo simulation. In addition, the changes in the power demand patterns of the apartment according to the EV charging demand patterns are estimated using the actual data of the apartment power demand pattern. Furthermore, we estimate changes in the pattern of power demand and changes in the peak load time according to the ratio of EVs per household of apartments nationwide.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. Monte Carlo Simulation 기법 기반의 EV 일 충전수요 패턴 예측
• 3. Monte Carlo Simulation 기법 기반 공동주택 EV 일 충전수요 패턴 예측 결과
• 4. 결론
• References

참고문헌 (Reference)

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