Effective scheduling of residential energy storage systems under dynamic pricing
- Authors
- Yoon, Yourim; Kim, Yong-Hyuk
- Issue Date
- Mar-2016
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Energy storage system; Scheduling algorithm; Smart grid
- Citation
- RENEWABLE ENERGY, v.87, pp.936 - 945
- Journal Title
- RENEWABLE ENERGY
- Volume
- 87
- Start Page
- 936
- End Page
- 945
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/8477
- DOI
- 10.1016/j.renene.2015.09.072
- ISSN
- 0960-1481
- Abstract
- We address the control of a residential energy storage system under dynamic pricing, for scenarios with and without local electricity generation, by combining a dynamic programming approach with real-time correction of predictions of load and generated power. We performed simulations using energy generation and consumption data for 64 residences in the Pecan Street Project, and a range of seasonal dynamic price tables. Our algorithm was more effective than other approaches in reducing electricity costs under most tariffs, especially when the amount of electricity generated locally is small. (C) 2015 Elsevier Ltd. All rights reserved.
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Collections - IT융합대학 > 컴퓨터공학과 > 1. Journal Articles
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