Energy Operation System Using Uncertain Electric Data in Korean Tariff System
- Authors
- Kim, J.; Kim, N.; Kim, K.; Han, J.; Lee, J.; Choi, J.
- Issue Date
- 2018
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Demand side management; energy storage system; Karush Kuhn Tucker conditions; photovoltaic voltage; uncertain data
- Citation
- Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, pp.747 - 750
- Journal Title
- Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
- Start Page
- 747
- End Page
- 750
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4362
- DOI
- 10.1109/BigComp.2018.00142
- ISSN
- 0000-0000
- Abstract
- This paper proposes an energy storage system sharing method with consideration of uncertain data in consumer's load profile and generation amount in photovoltaic voltage. For the rational decision, the power operation plan of the prosumers in the region is determined by considering the fixed electricity charge through the system operator. To consider that whole of predicted data is uncertain comparing with the practical data, we set a practical operating mechanism which depends on 2 stage central operation algorithm. Based on the proposed algorithm, we can stabilize the electric charge of all consumers obtain a result of reducing the peak load in the power system. © 2018 IEEE.
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