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Architecture & Urban Research Institute

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한국조명전기설비학회|조명전기설비학회논문지 2022년 6월

논문명 상대계수법을 이용한 설 연휴에 대한 단기 전력수요예측 알고리즘 / Short-Term Load Forecasting Algorithm for Lunar New Year’s Holidays Using the Relative Coefficient Method
저자명 권보성 ; 문찬호 ; 송경빈
발행사 한국조명전기설비학회
수록사항 조명전기설비학회논문지, Vol.36 No.06 (2022-06)
페이지 시작페이지(9) 총페이지(9)
ISSN 1225-1135
주제분류 환경및설비
주제어 ; Lunar New Year’s Holidays; Reconstituted load method; Relative coefficient method; Short-term load forecasting
요약2 An algorithm to improve the accuracy of short-term load forecasting(STLF) for the Lunar New Year’s Holidays is proposed. The proposed algorithm can integrate the impact of temperature and behind-the-meter(BTM) solar PV generation on the load for the Lunar New Year’s Holidays. The hourly loads for the Lunar New Year’s Holidays are forecasted using the relative coefficient method. The sensitivity of load to temperature is calculated, and the corrected loads using the calculated sensitivity are used to load forecast. In addition, the impact of BTM solar PV generation is integrated into the load forecast for the Lunar New Year’s Holidays using the reconstituted load method. Test results of load forecasts for the Lunar New Year’s Holidays from 2016 to 2020 have shown that the accuracy of load forecasting improves when the impacts of temperature and BTM solar PV generation are systematically considered in load forecasting.
소장처 한국조명전기설비학회
언어 한국어
DOI http://doi.org/10.5207/JIEIE.2022.36.6.009