Journal of Integrative Natural Science (통합자연과학논문집)

The Basic Science Institute Chosun University (조선대학교 기초과학연구원)
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Planning ESS Managemt Pattern Algorithm for Saving Energy Through Predicting the Amount of Photovoltaic Generation

  • Shin, Seung-Uk (Weisseti Co., Ltd.) ;
  • Park, Jeong-Min (Department of Automatic System, Chosun University College of Science & Technology) ;
  • Moon, Eun-A (Department of Electricity, Chosun University College of Science & Technology)
  • Received : 2019.03.08
  • Accepted : 2019.03.15
  • Published : 2019.03.30
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Abstract

Demand response is usually operated through using the power rates and incentives. Demand management based on power charges is the most rational and efficient demand management method, and such methods include rolling base charges with peak time, sliding scaling charges depending on time, sliding scaling charges depending on seasons, and nighttime power charges. Search for other methods to stimulate resources on demand by actively deriving the demand reaction of loads to increase the energy efficiency of loads. In this paper, ESS algorithm for saving energy based on predicting the amount of solar power generation that can be used for buildings with small loads not under electrical grid.

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GCOGBD_2019_v12n1_20_f0001.png 이미지

Fig. 1. Active battery management.

GCOGBD_2019_v12n1_20_f0002.png 이미지

Fig. 2. Procedures for managing EMS system.

GCOGBD_2019_v12n1_20_f0003.png 이미지

Fig. 3. Responsive algorithm for peak demand on electricity based on current situation of batteries.

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