Frequency and voltage partitioning in presence of renewable energy resources for power system (example: North Chile power network)

This paper investigates techniques for frequency and voltage partitioning of power network based on the graph-theory. These methods divide the power system into distinguished regions to avoid the spread of disturbances and to minimize the interaction between these regions for frequency and voltage control of power system. In case of required active and reactive power for improving the performance of the power system, control can be performed regionally instead of a centralized controller. In this paper, renewable energy sources are connected to the power network to verify the effect of these sources on the power systems partitioning and performance. The number of regions is found based on the frequency sensitivity for frequency partitioning and bus voltage for voltage partitioning to disturbances being applied to loads in each region. The methodology is applied to the north part of Chile power network. The results show the performance and ability of graph frequency and voltage partitioning algorithm to divide large scale power systems to smaller regions for applying decentralized controllers.

[1]  B. Francois,et al.  Dynamic Frequency Control Support by Energy Storage to Reduce the Impact of Wind and Solar Generation on Isolated Power System's Inertia , 2012, IEEE Transactions on Sustainable Energy.

[2]  Alex Pothen,et al.  PARTITIONING SPARSE MATRICES WITH EIGENVECTORS OF GRAPHS* , 1990 .

[3]  Juan Li,et al.  Controlled Partitioning of a Power Network Considering Real and Reactive Power Balance , 2010, IEEE Transactions on Smart Grid.

[4]  M. Jonsson,et al.  A new method suitable for real-time generator coherency determination , 2004, IEEE Transactions on Power Systems.

[5]  Maarouf Saad,et al.  A Decentralized Control of Partitioned Power Networks for Voltage Regulation and Prevention Against Disturbance Propagation , 2013, IEEE Transactions on Power Systems.

[6]  Ali Keyhani,et al.  Automatic Generation Control Structure for Smart Power Grids , 2012, IEEE Transactions on Smart Grid.

[7]  I. Kamwa,et al.  Automatic Segmentation of Large Power Systems Into Fuzzy Coherent Areas for Dynamic Vulnerability Assessment , 2007, IEEE Transactions on Power Systems.

[8]  I. Kamwa,et al.  Fuzzy Partitioning of a Real Power System for Dynamic Vulnerability Assessment , 2009, IEEE Transactions on Power Systems.

[9]  Alok N. Choudhary,et al.  Graph Contraction for Mapping Data on Parallel Computers: A Quality-Cost Tradeoff , 1994, Sci. Program..

[10]  Martine D. F. Schlag,et al.  Spectral K-Way Ratio-Cut Partitioning and Clustering , 1993, 30th ACM/IEEE Design Automation Conference.

[11]  Maarouf Saad,et al.  Authenticated voltage control of partitioned power networks with optimal allocation of STATCOM using heuristic algorithm , 2013 .

[12]  Chul-Hwan Kim,et al.  A Frequency-Control Approach by Photovoltaic Generator in a PV–Diesel Hybrid Power System , 2011, IEEE Transactions on Energy Conversion.

[13]  Chen-Ching Liu,et al.  Coherency and aggregation techniques incorporating rotor and voltage dynamics , 2004, IEEE Transactions on Power Systems.

[14]  F. Torelli,et al.  A Coherency Recognition Based on Structural Decomposition Procedure , 2008, IEEE Transactions on Power Systems.

[15]  Lie Wang,et al.  Towards a fast implementation of spectral nested dissection , 1992, Proceedings Supercomputing '92.