NDLI: Microgrid frequency regulation involving low-wind-speed wind turbine generators based on deep belief network

Content Provider	IET Digital Library
Author	Bian, Xiaoyan Zhang, Jingxian Ding, Yang Zhao, Jian Zhou, Qibin Lin, Sunfu
Abstract	With the development of low-wind-speed technology, it becomes a trend that low-wind-speed wind turbine generators (LWTGs) are integrated into a microgrid. However, the frequency stability of the microgrid has thereby been challenged since the increased penetration of wind power lowers the inertia of the microgrid. In order to investigate how LWTGs can effectively participate in suppressing the frequency fluctuation of the microgrid, virtual inertia control, over-speed control, as well as droop control, is applied to LWTG. Moreover, the de-loading ratio of over-speed control, along with the control parameters of virtual inertia control and droop control are all optimised under different wind speeds by virtue of the deep belief network, whereas the problem of over-speed control failure with the scheme of fixed de-loading ratio becomes more pronounced under low-wind speeds, which is defined as a blind area problem. To solve this problem, on the one hand, the strategy of the variable de-loading ratio is adopted under low-wind-speeds. On the other hand, the concepts of the minimum and maximum critical wind speed are deduced through theoretical analysis, which greatly restricts the number of feasible solutions of de-loading ratio under different wind speeds so as to improve the optimisation efficiency about 50%.
Starting Page	2046
Ending Page	2054
Page Count	9
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 11, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1161
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-02-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acceleration Angular Velocity Control Belief Network Control of Electric Power System Critical Wind Speed De-loading Ratio Deep Belief Network Distributed Power Generation Droop Control Frequency Control Knowledge Engineering Technique Low-wind-speed Technology Low-wind-speed Wind Turbine Generator Microgrid Frequency Regulation Optimisation Efficiency Over-speed Control Failure Power Engineering Computing Power Generation Control Rotation Control TurboGenerator Velocity Virtual Inertia Control Wind Power Wind Power Plant Wind Turbine
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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