NDLI: Self-adaptive inertia control of DC microgrid based on fast predictive converter regulation

Content Provider	IET Digital Library
Author	Wang, Yi Yu, Ming Li, Yonggang
Abstract	To solve the problem of low inertia in DC microgrid and enable the distributed units to provide adaptive inertia support for the system under disturbance, this study proposes a novel adaptive inertia control strategy for DC microgrid combined with fast predictive converter control. In this strategy, adaptive coordinated inertia control of wind power system, AC power grid and energy storage system of the microgrid is designed according to the characteristics of corresponding micro-sources. Therefore, inertial response of the DC microgrid under disturbance is improved through the regulation of controllable inertia coefficient of each converter. In addition, to avoid control hysteresis and adjustment error, a fast converter local control method based on model predictive approach is proposed to cooperate with the rapid inertia adjustment strategy. To verify the effectiveness of the proposed adaptive inertia control method based on model predictive approach, contrastive simulations are conducted using the proposed control strategy and the traditional control strategy separately based on MATLAB/Simulink. The results show that the proposed control method can effectively improve the transient response to disturbance of the system and guarantee the stability of DC bus voltage as well as the output power quality on AC side of grid-connected converter.
Starting Page	1295
Ending Page	1303
Page Count	9
ISSN	17521416
Volume Number	11
e-ISSN	17521424
Issue Number	Issue 8, Jun (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/11/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0463
Journal	IET Renewable Power Generation
Publisher Date	2017-06-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AC Power Grid Adaptive Control Adaptive Coordinated Inertia Control Adaptive Inertia Control Strategy Contrastive Simulation Control of Electric Power System DC Bus Voltage Stability Distributed Power Generation Energy Storage System Fast Converter Local Control Method Fast Predictive Control Fast Predictive Converter Regulation Grid-connected Converter Harmonics MATLAB Model Predictive Approach Optimal Control Output Power Quality Power Converter Power Generation Control Power Generation Fault Power Generation Reliability Power Supplies to Apparatus Power Supply Quality Power System Stability Predictive Control Rapid Inertia Adjustment Strategy Reliability Self Adjusting Control System Self-adaptive Inertia Control System Disturbance Transient Response Wind Power DC Microgrid Wind Power Plant Wind Power System
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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