AN INTELLIGENT RTP-BASED HOUSEHOLD ELECTRICITY SCHEDULING WITH A GENETIC ALGORITHM IN A SMART GRID
- Authors
- Kim, B. -Y.; Seok, H.; Kang, Y.
- Issue Date
- Aug-2018
- Publisher
- SOUTHERN AFRICAN INST INDUSTRIAL ENGINEERING
- Citation
- SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING, v.29, no.2, pp.43 - 51
- Journal Title
- SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING
- Volume
- 29
- Number
- 2
- Start Page
- 43
- End Page
- 51
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/3375
- DOI
- 10.7166/29-2-1813
- ISSN
- 2224-7890
- 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > Industrial Engineering Major > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/3375)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.