CAJ | 학술논문

将市场竞争引入电力系统,企业竞争性得到提高,资源利用效率将得到改善。准确的月负荷预测可以提高电力系统的社会效益和经济效益,而负荷预测误差风险直接影响供电的安全性和稳定性。本文考虑到季节成分对月负荷预测的影响,基于季节变差以及季节比例理论建立短期负荷预测的指数平滑模型,并对月负荷原始数据进行预测。通过对蒙东电力的算例分析验证了本文所提出方法的合理性和可行性。
장시장경쟁인입전력계통,기업경쟁성득도제고,자원이용효솔장득도개선。준학적월부하예측가이제고전력계통적사회효익화경제효익,이부하예측오차풍험직접영향공전적안전성화은정성。본문고필도계절성분대월부하예측적영향,기우계절변차이급계절비례이론건립단기부하예측적지수평활모형,병대월부하원시수거진행예측。통과대몽동전력적산례분석험증료본문소제출방법적합이성화가행성。
With the introduction of market competition,the enterprise competition and the efficiency of resource will be improved.Accurate monthly load forecasting can improve power system economic benefit and social benefit,and the error of load forecasting risk directly affects the safety and stability of power supply.This paper established the short-term load forecasting exponential smoothing model based on the seasonal variation and seasonal ratio theory,and predict the raw load forecast data.For Mongolian East network to carry out analysis,the results show that the proposed method is reasonable and feasible.