scholarly journals A Unified Distributed Robust Control Framework for Power Sharing of Grid-Connected DDG Cluster

2020 ◽  
pp. e47
Author(s):  
Youfeng Su ◽  
Zhenpan Tu ◽  
He Cai
Keyword(s):  
Robust Control ◽  
Power Sharing ◽  
Control Framework

scholarly journals Cyber-physical robust control framework for enhancing transient stability of smart grids

2017 ◽  
Vol 2 (4) ◽  
pp. 198-206 ◽  
Author(s):  
Muharrem Ayar ◽  
Rodrigo D. Trevizan ◽  
Serhat Obuz ◽  
Arturo S. Bretas ◽  
Haniph A. Latchman ◽  
...  
Keyword(s):  
Robust Control ◽  
Smart Grids ◽  
Transient Stability ◽  
Control Framework

scholarly journals A Stochastic Differential Game of Transboundary Pollution under Knightian Uncertainty of Stock Dynamics

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Chunyan Fu ◽  
Yongxi Yi ◽  
Susu Cheng
Keyword(s):  
Robust Control ◽  
Differential Game ◽  
Transboundary Pollution ◽  
Knightian Uncertainty ◽  
Stochastic Differential Game ◽  
Worst Case ◽  
Numerical Examples ◽  
Optimal Output ◽  
Control Framework ◽  
Pollution Accumulation

With the robust control framework of Hansen and Sargent (2001), this paper investigates a stochastic differential game of transboundary pollution between two regions under Knightian uncertainty of stock dynamics. Both regions are assumed to play a noncooperative and a cooperative game, and the worst-case pollution accumulation processes for discrete robustness parameters are characterized. Our objective is to identify both regions’ optimal output and emission levels and analyze the effects of the Knightian uncertainty of pollution stock dynamics on both regions’ optimization behavior. We illustrate the results with some numerical examples.

Uncertainty Bounding of CFRP Beams Towards Robust Control of Flexible Composite Structures

2017 ◽  
Author(s):  
Alexander H. Pesch ◽  
Tamunomiesiya LongJohn ◽  
Kristopher Wagner ◽  
Brian J. McAndrews
Keyword(s):  
Composite Materials ◽  
Robust Control ◽  
Composite Structures ◽  
Flexible Structures ◽  
Element Model ◽  
Modal Parameters ◽  
Parametric Uncertainties ◽  
Beam Model ◽  
Carbon Fiber Reinforce Polymer ◽  
Control Framework

As composite materials are becoming increasingly applied in actively controlled flexible structures, the need for practical uncertainty bounding to capture the effect of normal manufacturing variations on their dynamic behavior is also increasing. Currently, there is a lack of quantification of manufacturing variation of composite materials cast in a robust control framework. This work presents a simple experimental study on a particular case of composite member. The modal parameters of a set of 12 unidirectional carbon fiber reinforce polymer beams are identified. A nominal finite element model is numerically fit to the average experimental natural frequencies and antiresonances. The model is augmented with real parametric uncertainties placed on the modal parameters. The bound on the uncertainties is found both deterministically, to capture all experimentally observed data, and stochastically using a predetermined confidence interval. The two uncertainty bounding approaches are compared through the resulting bound on the beam model frequency response. Also, simulations are conducted to compare possible time responses using the two uncertainty bounds. It is found that the utilized structure of parametric uncertainties is effective at capturing the experimentally observed behavior.

scholarly journals Panaceas, uncertainty, and the robust control framework in sustainability science

2007 ◽  
Vol 104 (39) ◽  
pp. 15194-15199 ◽  
Author(s):  
J. M. Anderies ◽  
A. A. Rodriguez ◽  
M. A. Janssen ◽  
O. Cifdaloz
Keyword(s):  
Robust Control ◽  
Sustainability Science ◽  
Control Framework

scholarly journals Consensus Control of Distributed Energy Resources in a Multi-Bus Microgrid for Reactive Power Sharing and Voltage Control

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2710 ◽  
Author(s):  
Li Yu ◽  
Di Shi ◽  
Guangyue Xu ◽  
Xiaobin Guo ◽  
Zhen Jiang ◽  
...  
Keyword(s):  
Distribution System ◽  
Reactive Power ◽  
Hierarchical Control ◽  
Voltage Control ◽  
Power Sharing ◽  
Consensus Control ◽  
Distributed Generator ◽  
Distributed Generators ◽  
Control Framework ◽  
Major Factors

The hierarchical control architecture, including layers of primary, secondary and tertiary controls, is becoming the standard operating paradigm for microgrids (MGs). Two major factors that limit the adoption of existing hierarchical control in microgrid are the low accuracy in reactive power sharing and the requirement for complex communication infrastructure. This paper addresses this problem by proposing a novel distributed primary and secondary control for distributed generators dispersed in a multi-bus microgrid. The proposed method realizes voltage control and accurate reactive power sharing in a distributed manner using minimum communication. Each distributed generator only needs its own information and minimum information from its neighboring units. Topology of the network can be flexible which supports the plug-and-play feature of microgrids. In a distribution system, high R/X ratio and system imbalance can no longer be neglected and thus the sequence component analysis and virtual impedance are implemented in the proposed control framework. The proposed framework is validated by simulation results on a MG testbed modified from the IEEE 13-bus distribution system.

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