AN INTELLIGENT RTP-BASED HOUSEHOLD ELECTRICITY SCHEDULING BY A GENETIC ALGORITHM IN SMART GRID

Authors

  • Byeong-Yeon Kim Department of Industrial Engineering, Hongik University, Seoul, Republic of Korea FAB4 Group, Samsung electronics, Republic of Korea
  • Hyesung Seok Department of Industrial Engineering, Hongik University, Seoul, Republic of Korea

DOI:

https://doi.org/10.7166/29-2-1813

Keywords:

Demand management, Distributed decision making, Fairness, Stackelberg game, Power grid.

Abstract

Electricity scheduling for households based on real-time pricing (RTP) allows flexible and efficient consumption planning. However, this creates errors in predicted costs. Therefore this study used a genetic algorithm (GA) to reduce the error in predicted costs and suggested a model that offered better consumption planning. This model comprises a provider that supplies electricity and a subscriber that consumes electricity. Each subscriber has an energy management controller (EMC) that selects the optimal electricity scheduling. The provider and subscriber exchange real-time predicted costs and consumption plans to achieve an appropriate balance. During this process, the aforementioned prediction error — i.e., the difference between the predicted cost for each time slot and the final actual cost — occurs. This was addressed in this study using a GA. As a result, the presented model produced consumption plans with costs that were 22.60 per cent lower than the non-scheduled case, and 3.34 per cent lower than the model from a previous study. Furthermore, the fairness for each subscriber was improved by 15.96 per cent compared with the non-scheduled case, and by 0.62 per cent compared with the previous study model.

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Author Biographies

Byeong-Yeon Kim, Department of Industrial Engineering, Hongik University, Seoul, Republic of Korea FAB4 Group, Samsung electronics, Republic of Korea

Department of Industrial Engineering, the 22nd in Republic of Korea

Hyesung Seok, Department of Industrial Engineering, Hongik University, Seoul, Republic of Korea

Department of Industrial Engineering, the 22nd in Republic of Korea

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Published

2018-08-31

How to Cite

Kim, B.-Y., & Seok, H. (2018). AN INTELLIGENT RTP-BASED HOUSEHOLD ELECTRICITY SCHEDULING BY A GENETIC ALGORITHM IN SMART GRID. The South African Journal of Industrial Engineering, 29(2), 43–51. https://doi.org/10.7166/29-2-1813

Issue

Section

General Articles