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부하 용도별 전력 패턴 분석에 관한 연구

초록/요약

하 용도별 전력패턴 분석에 관한 연구 조 승 준 동신대학교 대학원 전기전자공학과 (지도교수 : 공학박사 이 경 섭) <국문초록> 본 논문은 다중이용시설용 (사무형 건물, 기숙형 건물) 마이크로그리드 설계 및 운영의 기초자료(수요분석과 용량설계)로 사용하기 위하여 기숙형 건물과 사무형 건물에 대하여 상시와 비상시의 일간(시간별, 평일, 주말, 공휴일), 주간(평일, 주말 및 공휴일), 월간, 연간으로 구분하여 AMI로 측정된 전력량 데이터를 부하패턴별로 예상값과 실측값을 비교, 분석하여 다음과 같은 결론을 얻었다. 1. 상시 평일 낮시간에 사무형 건물의 전력량이 예상되는 부하패턴과 같이 264.0[kWh]∼332.3[kWh]로 비교적 많게 나타났고 저녁시간에는 기숙형 건물의 전력량이 예상되는 부하패턴과 같이 233.0[kWh]∼258.3[kWh]로 비교적 많게 나타남을 알 수 있었다. 비상시 평일 낮시간에 사무형 건물의 전력량은 예상되는 부하패턴과 같이 279.1[kWh]∼407.4[kWh]로 비교적 많게 나타났고 저녁시간에는 기숙형 건물의 전력량은 예상되는 부하패턴과 같이 280.1[kWh]∼394.1[kWh]로 비교적 많게 나타남을 알 수 있었다. 2. 상시 주말 낮시간에 기숙형 건물의 전력량이 133.5[kWh]∼201.6[kWh]로 비교적 많게 나타났으며 저녁시간에도 기숙형 건물의 전력량이 187.5[kWh]∼252.1[kWh]로 비교적 많게 나타남을 알 수 있었다. 비상시 주말 낮시간에 기숙형 건물의 전력량이 186.5[kWh]∼218.6[kWh]로 많게 나타났으며 저녁시간에는 기숙형 건물의 전력량이 264.0[kWh]∼380.1[kWh]로 많게 나타남을 알 수 있었다. 3. 상시 평일 5일간 전력량을 합하여 기숙형 건물과 사무형 건물의 전력량을 비교한 결과 사무형 건물의 전력량이 1,988.4[kWh]∼2,184.0[kWh]로 많게 나타났으며 비상시 평일 5일간 전력량을 합하여 기숙형 건물과 사무형 건물의 전력량을 비교한 결과 기숙형 건물의 전력량이 1,851.2[kWh]∼2,863.8[kWh]로 많게 나타났다. 4. 상시 주말 및 공휴일 전력량을 합하여 기숙형 건물과 사무형 건물의 전력량을 비교한 결과 기숙형 건물의 전력량이 2,935.2[kWh]∼3,559.0[kWh]로 많게 나타났으며 비상시 주말 및 공휴일 전력량을 합하여 기숙형 건물과 사무형 건물의 전력량을 비교한 결과 기숙형 건물의 전력량이 4,077.8[kWh]∼5,127.7[kWh]로 많게 나타났다. 5. 상시 월간 전력량을 합하여 기숙형 건물과 사무형 건물의 전력량을 비교한 결과 기숙형 건물의 전력량이 8,027.4[kWh]∼11,240.1[kWh]로 많게 나타났으며 비상시 월간 전력량을 합하여 기숙형 건물과 사무형 건물의 전력량을 비교한 결과 기숙형 건물의 전력량이 11,242.4[kWh]∼15,212.9[kWh]로 많게 나타났다. 6. 상시(4월∼6월)보다 비상시(12월∼2월) 전력량이 증가한 것은 전력수요 증가로 인한 것으로 생각되고 비상시 기숙형 건물의 전력량이 더 많이 나타난 것은 사무형 건물의 단축 근무 등으로 인하여 기숙형 건물보다 전력을 적게 사용한 것으로 생각된다. 따라서 본 논문에서는 다중이용시설중 기숙형 건물과 사무형 건물의 사용 전력량을 측정하여 예상된 부하패턴을 비교, 분석하여 예상값과 실측값이 비슷한 패턴임을 확인할 수 있었고 형태별 전력수요 조건에 절대적인 의존성이 있음을 확인할 수 있었다. 본 논문의 결과는 특정 용도로 사용하고 있는 건축물의 마이크로그리드를 설계하고 운영하는데 기초자료(수요분석과 용량설계)로 사용할 수 있을 것으로 생각되며 추후 ESS 등을 사용하여 수요전력에 따른 합리적인 전력공급 등의 연구에 활용될 수 있을 것으로 생각된다.

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초록/요약

A Study on the Analysis of Power Pattern by Load Cho, Seung-Joon Department of Electrical and Electronic Engineering Graduate School, Dongshin University (Supervisor by Professor : Ph. D. Lee, Kyung-Sup) <Abstract> In order to use as basic data (consumption analysis and capacity design) for microgrid designs and operations for public use facilities (office-type building, dormitory-type building), power consumption data measured by AMI of dormitory-type building and office-type building were analyzed according to load patterns. The data were collected by the criteria of normal times and non-normal times, and by the time intervals of daily (by hours, weekdays, weekends, holidays), weekly(weekdays, weekends, holidays), monthly and yearly durations. The expected values and real values were compared and analyzed. As a result, the following conclusions were obtained. 1. During normal daytime on weekdays, the power consumption of office-type building was 264.0[kWh] to 332.3[kWh] just like expected load patterns, which is relatively high. During evening hours, the power consumption of dormitory-type building was 233.0[kWh] to 258.3[kWh] just like expected load patterns, which is relatively high. During non-normal daytime on weekdays, the power consumption of office-type building was 279.1[kWh] to 407.4[kWh] just like expected load patterns, which is relatively high. During evening hours, the power consumption of dormitory-type building was 280.1[kWh] to 394.1[kWh] just like expected load patterns, which is relatively high. 2. During normal daytime on weekends, the power consumption of dormitory-type building was shown to be 133.5 [kWh] to 201.6[kWh], which is relatively high; and during the evening hours, the power consumption of dormitory-type building was 187.5 [kWh] to 252.1[kWh], which is relatively high. During non-normal daytime on weekends, the power consumption of dormitory-type building was shown to be 186.5[kWh] to 218.6[kWh], which is high; and during the evening hours, the power consumption of dormitory-type building was 264.0[kWh] to 380.1[kWh], which is high. 3. The power consumptions of the dormitory-type building and office-type building during normal 5 weekdays were added up for comparison. As a result, the power consumption of office-type building was 1,988.4[kWh] to 2,184.0[kWh], which is more than that of dormitory-type building. The power consumptions of the dormitory-type building and office-type building during non-normal 5 weekdays were added up for comparison. As a result, the power consumption of dormitory-type building was 1,851.2[kWh] to 2,863.8[kWh], which is more than that of office-type building. 4. The power consumptions of the dormitory-type building and office-type building during normal weekends and holidays were added up for comparison. As a result, the power consumption of dormitory-type building was 2,935.2[kWh] to 3,559.0[kWh], which is more than that of office-type building. The power consumptions of the dormitory-type building and office-type building during non-normal weekends and holidays were added up for comparison. As a result, the power consumption of dormitory-type building was 4,077.8[kWh] to 5,127.7[kWh], which is more than that of office-type building. 5. The power consumptions of the dormitory-type building and office-type building during normal months were added up for comparison. As a result, the power consumption of dormitory-type building was 8,027.4[kWh] to 11,240.1[kWh], which is more than that of office-type building. The power consumptions of the dormitory-type building and office-type building during non-normal months were added up for comparison. As a result, the power consumption of dormitory-type building was 11,242.4[kWh] to 15,212.9[kWh], which is more than that of office-type building. 6. The reason that the power consumption during the non-normal times (December∼February) is higher than during the normal times (April∼June) is presumed to be due to the increased power demand. The reason that the power consumption of dormitory-type building is higher than that of office-type building during the non-normal times is presumed to be due to decreased working hours at office-type building. This seems to have led to less power consumption at office-type building. Therefore, in this thesis, the power consumptions of office-type building and dormitory-type building (public use facilities) were measured to be compared with the expected load patterns and analyzed. As a result, it was shown that the expected values and real values have similar patterns and that the power consumption absolutely depends on power consumption conditions by type. The results reached in this thesis could be utilized as basic data for designing and operating microgrids for special-purpose building. In the future, they also could be used for more research on how to supply power in a rational manner to meet power demand with the help of the ESS.

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