Application of a Data Communication Infrastructure for the Voltage Magnitude Control in Transmission Power Systems

The problem of voltage magnitude control, based on dispatching reactive power, consists in defining the adjustments that must be applied to synchronous generators to bring the voltages of the load buses whose magnitudes are violated within a suitable value range. The utilities usually determine the sequence of adjustments and sent to the selected control device to correct voltage magnitude violations, which makes the use of data communication technologies a necessity to enable this operation. In this context, this work proposes an application of a communication infrastructure for the control of voltage magnitude in transmission power systems. The adjustments in the voltage magnitude of control devices and the sequence of their execution are determined in the Control Manager utilizing two linear sensitivity-based methodologies and, then, transmitted via a WiMAX (Worldwide Interoperability for Microwave Access) network to Control Nodes, which in turn are connected to synchronous generators or condensers. NS-3 (Network Simulator 3) is used to simulate the 118-bus IEEE transmission test system with voltage magnitude violations. The results display an operating scenario that presents voltage violation and the applied communication infrastructure ensures that the sequence of adjustments are forwarded to the control points in order to bring the system state to the appropriate voltage magnitude ranges. The communication infrastructure WiMAX simulated in the NS-3 ensures that the sequence of adjustments are forwarded to the control points in appropriate delay and demonstrates the applicability of WiMAX technology for the control voltage magnitude. At last, to validate the proposed approach, in this paper we present the voltage magnitude in generators and load buses, as well as the availability, the delay and the volume of data transmitted by the WiMAX network as the adjustments in control variables, are executed.

[1]  Tho Le-Ngoc,et al.  Wireless Communications Networks for the Smart Grid , 2014, SpringerBriefs in Computer Science.

[2]  Bathula Siva Kumar Reddy Orthogonal frequency division multiple access downlink physical layer communication for IEEE 802.16-2009 standard , 2016, IET Signal Process..

[3]  Pierluigi Siano,et al.  New Trends in Intelligent Energy Systems–An Industrial Electronics Point of View , 2015, IEEE Transactions on Industrial Electronics.

[4]  Martin Maier,et al.  Probabilistic Availability Quantification of PON and WiMAX Based FiWi Access Networks for Future Smart Grid Applications , 2014, IEEE Transactions on Communications.

[5]  Thierry Turletti,et al.  An IEEE 802.16 WiMAX module for the NS-3 simulator , 2009, SIMUTools 2009.

[6]  Antonio Piccolo,et al.  A Smart Strategy for Voltage Control Ancillary Service in Distribution Networks , 2015, IEEE Transactions on Power Systems.

[7]  Robert C. Green,et al.  Intrusion Detection System in A Multi-Layer Network Architecture of Smart Grids by Yichi , 2015 .

[8]  Jim Kurose,et al.  Computer Networking: A Top-Down Approach , 1999 .

[9]  Innocent Kamwa,et al.  Preventive control approach for voltage stability improvement using voltage stability constrained optimal power flow based on static line voltage stability indices , 2014, IET Generation, Transmission & Distribution.

[10]  G. S. de Brito,et al.  Overview of the activities of the project cost 231 "Evolution of land mobile radio (including personal) communications" , 1993 .

[11]  Ricardo A. L. Rabêlo,et al.  An approach to determine a sequence of adjustments to eliminate voltage magnitude violations in transmission power systems , 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[12]  Ji-Ho Park,et al.  Coordinated Voltage and Reactive Power Control Strategy with Distributed Generator for Improving the Operational Efficiency , 2013 .

[13]  Lutz Lampe,et al.  Optimized WiMAX Profile Configuration for Smart Grid Communications , 2017, IEEE Transactions on Smart Grid.

[14]  Wei Zhang,et al.  Distributed Multiple Agent System Based Online Optimal Reactive Power Control for Smart Grids , 2014, IEEE Transactions on Smart Grid.

[15]  Walid Saad,et al.  Challenges in the Smart Grid Applications: An Overview , 2014, Int. J. Distributed Sens. Networks.

[16]  Alfredo Vaccaro,et al.  A Self-Organizing Architecture Based on Cooperative Fuzzy Agents for Smart Grid Voltage Control , 2013, IEEE Transactions on Industrial Informatics.

[17]  P. Kundur,et al.  Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions , 2004, IEEE Transactions on Power Systems.

[18]  Magdy M. A. Salama,et al.  Smart distribution system volt/VAR control using distributed intelligence and wireless communication , 2015 .

[19]  R. Stephenson A and V , 1962, The British journal of ophthalmology.

[20]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[21]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[22]  William F. Tinney,et al.  Power Flow Solution by Newton's Method , 1967 .

[23]  Ingrid Moerman,et al.  The History of WiMAX: A Complete Survey of the Evolution in Certification and Standardization for IEEE 802.16 and WiMAX , 2012, IEEE Communications Surveys & Tutorials.