NDLI: Frequency control using on-line learning method for island smart grid with EVs and PVs

Content Provider	IEEE Xplore Digital Library
Author	Yufei Tang Jun Yang Jun Yan Zhili Zeng Haibo He
Copyright Year	2014
Description	Author affiliation: Dept. of Electr., Comput. & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA (Yufei Tang; Jun Yan; Haibo He) \|\| Sch. of Electr. Eng., Wuhan Univ., Wuhan, China (Jun Yang; Zhili Zeng)
Abstract	Due to the intermittent power generation from renewable energy in the smart grid (i.e., photovoltaic (PV) or wind farm), large frequency fluctuation occurs when the load-frequency control (LFC) capacity is not enough to compensate the unbalance of generation and load demand. This problem may become worsen when the system is in island operating. Meanwhile, in the near future, electric vehicles (EVs) will be widely used by customers, where the EV station could be treated as dispersed battery energy storage. Therefore, the vehicle-to-grid (V2G) power control can be applied to compensate for inadequate LFC capacity, thus improving the island smart grid frequency stability. In this paper, an on-line learning method, called goal representation adaptive dynamic programming (GrADP), is adopted to coordinate control of units in an island smart grid. In the controller design, adaptive supplementary control signals are provided to proportional-integral (PI) controllers by online GrADP according to the utility function. Simulations on a benchmark smart grid with micro turbine (MT), EVs and PVs demonstrate the superior control effect and robustness of the proposed coordinate controller over the original PI controller and fuzzy controller.
Starting Page	1440
Ending Page	1446
File Size	1494431
Page Count	7
File Format	PDF
ISSN	21614407
e-ISBN	9781479914845
DOI	10.1109/IJCNN.2014.6889829
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency control Smart grids Power system stability Fuzzy logic Mathematical model Benchmark testing Oscillators
Content Type	Text
Resource Type	Article

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