Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/595155
Title: Analysis and Optimization of Droop Controller for Microgrid System Based on Small-Signal Dynamic Model
Authors: Kai Yu;Qian Ai;Shiyi Wang;Jianmo Ni;Tianguang Lv
subject: genetic algorithms|control optimization|small-signal analysis|Droop controller|microgrid|dynamic model
Year: 2016
Publisher: IEEE
Abstract: Droop control strategy enables the microgrid switch between grid-connected and islanded mode flexibly, and easily realizes the “plug and play” function of distributed generation and loads, which has recently aroused great concerns. However, small disturbances may occur during the changing process and eventually yield transient oscillation, thus the focus of microgrid control is how to switch smoothly within different operation modes. In order to improve the dynamic characteristics of an inverter-based microgrid, this paper derived a precise small-signal state-space model of the whole microgrid including droop controller, network, and loads. The key control parameters of the inverter and their optimum ranges, which greatly influence the damping frequency of oscillatory components in the transient response, can be obtained through eigenvalue analysis. In addition, genetic algorithm is introduced to search for optimal settings of the key parameters during time-domain simulation in MATLAB/Simulink. Simulation results verified the effectiveness of the proposed small-signal dynamic model and optimization algorithm, and enhanced the dynamic performance of the microgrid, which can be the reference for parameter design of droop control in low voltage microgrids.
URI: http://localhost/handle/Hannan/176101
http://localhost/handle/Hannan/595155
ISSN: 1949-3053
1949-3061
volume: 7
issue: 2
Appears in Collections:2016

Files in This Item:
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Title: Analysis and Optimization of Droop Controller for Microgrid System Based on Small-Signal Dynamic Model
Authors: Kai Yu;Qian Ai;Shiyi Wang;Jianmo Ni;Tianguang Lv
subject: genetic algorithms|control optimization|small-signal analysis|Droop controller|microgrid|dynamic model
Year: 2016
Publisher: IEEE
Abstract: Droop control strategy enables the microgrid switch between grid-connected and islanded mode flexibly, and easily realizes the “plug and play” function of distributed generation and loads, which has recently aroused great concerns. However, small disturbances may occur during the changing process and eventually yield transient oscillation, thus the focus of microgrid control is how to switch smoothly within different operation modes. In order to improve the dynamic characteristics of an inverter-based microgrid, this paper derived a precise small-signal state-space model of the whole microgrid including droop controller, network, and loads. The key control parameters of the inverter and their optimum ranges, which greatly influence the damping frequency of oscillatory components in the transient response, can be obtained through eigenvalue analysis. In addition, genetic algorithm is introduced to search for optimal settings of the key parameters during time-domain simulation in MATLAB/Simulink. Simulation results verified the effectiveness of the proposed small-signal dynamic model and optimization algorithm, and enhanced the dynamic performance of the microgrid, which can be the reference for parameter design of droop control in low voltage microgrids.
URI: http://localhost/handle/Hannan/176101
http://localhost/handle/Hannan/595155
ISSN: 1949-3053
1949-3061
volume: 7
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7336546.pdf4.13 MBAdobe PDFThumbnail
Preview File
Title: Analysis and Optimization of Droop Controller for Microgrid System Based on Small-Signal Dynamic Model
Authors: Kai Yu;Qian Ai;Shiyi Wang;Jianmo Ni;Tianguang Lv
subject: genetic algorithms|control optimization|small-signal analysis|Droop controller|microgrid|dynamic model
Year: 2016
Publisher: IEEE
Abstract: Droop control strategy enables the microgrid switch between grid-connected and islanded mode flexibly, and easily realizes the “plug and play” function of distributed generation and loads, which has recently aroused great concerns. However, small disturbances may occur during the changing process and eventually yield transient oscillation, thus the focus of microgrid control is how to switch smoothly within different operation modes. In order to improve the dynamic characteristics of an inverter-based microgrid, this paper derived a precise small-signal state-space model of the whole microgrid including droop controller, network, and loads. The key control parameters of the inverter and their optimum ranges, which greatly influence the damping frequency of oscillatory components in the transient response, can be obtained through eigenvalue analysis. In addition, genetic algorithm is introduced to search for optimal settings of the key parameters during time-domain simulation in MATLAB/Simulink. Simulation results verified the effectiveness of the proposed small-signal dynamic model and optimization algorithm, and enhanced the dynamic performance of the microgrid, which can be the reference for parameter design of droop control in low voltage microgrids.
URI: http://localhost/handle/Hannan/176101
http://localhost/handle/Hannan/595155
ISSN: 1949-3053
1949-3061
volume: 7
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7336546.pdf4.13 MBAdobe PDFThumbnail
Preview File