NDLI: A robust method based storage aggregator model for grid dispatch

Content Provider	IEEE Xplore Digital Library
Author	Zhaoguang Pan Qinglai Guo Hongbin Sun
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. Eng., Tsinghua Univ., Beijing, China (Zhaoguang Pan; Qinglai Guo; Hongbin Sun)
Abstract	Distributed storages have been widely used and studied recently, including batteries and demand side resources, with the development of distributed energy resources (DERs). Each distributed storage has small capacity but the number of all distributed storages is very large, so it is not practical for an independent system operator (ISO) to dispatch these distributed storages directly. A storage aggregator is developed to control massive distributed storages. This paper proposes a robust method based storage aggregator model for grid dispatch, so ISO can incorporate it into its dispatch model and avoid the large dimension caused by distributed storages. This model is formed in the aggregator and the results are sent to ISO as basic virtual storage parameters. This model is based on the robust method and can guarantee that any dispatch plan satisfying the aggregator model given by ISO is executable for the aggregator, which means the aggregator can allocate the dispatch plan to distributed storages. This model avoids many iterations and communication between ISO and the aggregator. A heuristic parameters generation method is developed and study cases are carried out to test the model.
Starting Page	1
Ending Page	5
File Size	432269
Page Count	5
File Format	PDF
ISBN	9781467380409
DOI	10.1109/PESGM.2015.7285868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	ISO Robustness Partial discharges Smart grids Mathematical model Batteries Load management Storage Aggregator Dispatch Distributed Model Robust
Content Type	Text
Resource Type	Article

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