Optimal Multi-Timescale Demand Side Scheduling Considering Dynamic Scenarios of Electricity Demand

In this paper, an optimal multi-timescale demand side scheduling framework, i.e., the combination of week-ahead and day-ahead, for industrial customers is proposed. Different demand side management (DSM) techniques suitable for distinct week-ahead and day-ahead timescales cooperate for achieving the...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2019-05, Vol.10 (3), p.2428-2439
Main Authors: Bao, Zhejing, Qiu, Wanrong, Wu, Lei, Zhai, Feng, Xu, Wenjing, Li, Baofeng, Li, Zhijie
Format: Article
Language:English
Subjects:
Computer simulation
Customers
Demand side management
Demand side management (DSM)
Dynamic scheduling
Electric power demand
Electricity consumption
Energy management
Gaussian distribution
Job shop scheduling
Load fluctuation
Optimal scheduling
optimization
scenarios
Scheduling
Stress concentration
Time
Uncertainty
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Summary:In this paper, an optimal multi-timescale demand side scheduling framework, i.e., the combination of week-ahead and day-ahead, for industrial customers is proposed. Different demand side management (DSM) techniques suitable for distinct week-ahead and day-ahead timescales cooperate for achieving the overall optimal demand scheduling in the entire multi-timescale frame. Specifically, in the week-ahead scheduling, a dynamic scenario generation method is proposed to accurately simulate uncertainties of customer electricity demand time-series during the scheduling horizon, which can represent not only the marginal distribution of possible customer loads at each time instant but also the joint distribution among multiple loads at different time instants. In addition, priorities of various DSM techniques accepted by DSM participants and their willingness are also considered, aiming at mitigating impacts on their normal manufacturing process. With actual historical load data of industrial customers from advanced metering infrastructure system, the dynamic scenario generation method is shown to be effective in preserving statistic features of load fluctuations, and the proposed optimal multi-timescale coordinated demand side scheduling model is demonstrated to be an effective DSM approach.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2018.2797893