A new metric for measuring infleunce of nodes in cooperative frequency control of distributed generation systems

Moradiamani, A, Gaeini, N, Jalili, M and Yu, X 2016, 'A new metric for measuring infleunce of nodes in cooperative frequency control of distributed generation systems', in Proceedings of the IEEE-PES-ASIA Innovative Smart Grid Technologies-Asia (ISGT 2016), Melbourne, Australia, 28 November - 1 December 2016, pp. 978-983.


Document type: Conference Paper
Collection: Conference Papers

Title A new metric for measuring infleunce of nodes in cooperative frequency control of distributed generation systems
Author(s) Moradiamani, A
Gaeini, N
Jalili, M
Yu, X
Year 2016
Conference name ISGT 2016: Integration of IT Technologies in Future Power Grids
Conference location Melbourne, Australia
Conference dates 28 November - 1 December 2016
Proceedings title Proceedings of the IEEE-PES-ASIA Innovative Smart Grid Technologies-Asia (ISGT 2016)
Publisher IEEE
Place of publication United States
Start page 978
End page 983
Total pages 6
Abstract Lack of inertia in distributed power generation systems (which include renewable energy resources) makes the frequency control problem more time critical. In such situations, the power management system should react to any unbalance of power generation and consumption considerably faster than traditional interconnected power networks. To do this, one of the generation units should be set as the master of frequency in the microgrid, while others should follow the master. The challenge is to find the best master node. In this paper, we propose a metric to rank all generation sources according to their impact on the stability of frequency in the microgrid. The metric is achieved using perturbation analysis of the dominant eigenvalue of the state matrix of the microgrid. It is easily computed and computationally cost effective for microgrids with large number of small resources. Simulation results support the accuracy of this measure in finding a good master node in microgrid. The proposed metric outperforms heuristics such as taking the master node based on degree, closeness or betweenness centrality measures.
Subjects Dynamical Systems in Applications
Control Systems, Robotics and Automation
Power and Energy Systems Engineering (excl. Renewable Power)
Keyword(s) cooperative frequency control
data communication network
Distributed generation
Most influential node
DOI - identifier 10.1109/ISGT-Asia.2016.7796518
Copyright notice © 2016 IEEE
ISBN 9781509043033
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