期刊
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
卷 8, 期 2, 页码 836-845出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2016.2622003
关键词
Distributed storage; energy shifting; load and price forecasts; optimization; scheduling
资金
- Hydro One Inc., Toronto, ON, Canada
- Natural Sciences and Engineering Research Council of Canada
Anew real-time optimal schedulingmodel is proposed and analyzed in this paper to aggregate storage benefits for a largescale electricity consumer. The complete model for optimal operation of storage-based electrical loads considering both the capital and operating expenditures of storage is developed. A real-time load forecaster is incorporated into the optimal scheduling algorithm using soft constraints, slack variables, and penalizingmechanisms. The application of the proposed model to a real-world largescale electricity consumer is examined and comparedwith previous models. It is demonstrated that the proposed model outperforms prior models by generating higher profitability of investment in storage, lower storage operating expenditure, and an extended life of the storage plant.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据