Wide Area Control of Power System Using FACTS Device

Advent of phasor measurement unit (PMU) technology has resulted in efficient wide area monitoring of power system which was previously done through state estimators at relatively slow rate. As status of power system changes dynamically, PMU devices provide reliable data synchronized with time. FACTS devices along with PMUs and phasor data concentrator (PDC) can be an efficient tool for real-time monitoring and control of power system. This paper provides a technique to study the localized control and wide area control of power system through a FACTS device. IEEE-14 bus system has been considered for analysis of the control process. First, optimal location and number of PMU is determined through network topology features analysis, and then, localized control and wide area control are simulated in MATLAB software.

[1]  Yang Wang,et al.  Reliability Analysis of Phasor Measurement Unit Using Hierarchical Markov Modeling , 2009 .

[2]  Diptendu Sinha Roy,et al.  Reliability Analysis of Phasor Measurement Unit Using Hidden Markov Model , 2014, IEEE Systems Journal.

[3]  Anwar Shahzad Siddiqui,et al.  Congestion management in deregulated power system using FACTS device , 2017, Int. J. Syst. Assur. Eng. Manag..

[4]  Vladimir Terzija,et al.  State estimation including synchronized measurements , 2009, 2009 IEEE Bucharest PowerTech.

[5]  Arun G. Phadke,et al.  Synchronized Phasor Measurements and Their Applications , 2008 .

[6]  N. Schulz,et al.  Synchrophasor-Based Real-Time Voltage Stability Index , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[7]  J. V. Milanovic,et al.  Comparison of different methods for optimal placement of PMUs , 2009, 2009 IEEE Bucharest PowerTech.

[8]  A. Abur,et al.  Placement of PMUs to Enable Bad Data Detection in State Estimation , 2006, IEEE Transactions on Power Systems.

[9]  Rahmat-Allah Hooshmand,et al.  A New Approach for Optimal Placement of PMUs and Their Required Communication Infrastructure in Order to Minimize the Cost of the WAMS , 2016, IEEE Transactions on Smart Grid.

[10]  H.M. Ismail,et al.  A Unified Approach for the Optimal PMU Location for Power System State Estimation , 2009, IEEE Transactions on Power Systems.

[11]  Anwar Shahzad Siddiqui,et al.  FACTS device control strategy using PMU , 2016 .

[12]  M. Veerachary,et al.  Reliability Issues in Photovoltaic Power Processing Systems , 2008, IEEE Transactions on Industrial Electronics.

[13]  J.A. Momoh,et al.  Voltage stability enhancement using Phasor Measurement Unit (PMU) technology , 2008, 2008 40th North American Power Symposium.

[14]  Xiao-Ping Zhang,et al.  Flexible AC Transmission Systems: Modelling and Control , 2006 .

[15]  A. G. Expósito,et al.  Generalized observability analysis and measurement classification , 1997, Proceedings of the 20th International Conference on Power Industry Computer Applications.

[16]  D. N. Kosterev,et al.  Feasibility study of using synchronized phasor measurements for generator dropping controls in the Colstrip System , 1998 .

[17]  M. Fotuhi-Firuzabad,et al.  Optimal Placement of Phasor Measurement Units Using Immunity Genetic Algorithm , 2009, IEEE Transactions on Power Delivery.

[18]  Nadia Maïzi,et al.  Impacts of intermittent sources on the quality of power supply: The key role of reliability indicators , 2014 .

[19]  C. W. Taylor,et al.  Model validation for the August 10, 1996 WSCC system outage , 1999 .

[20]  Anwar Shahzad Siddiqui,et al.  Determination of optimal location of TCSC and STATCOM for congestion management in deregulated power system , 2017, Int. J. Syst. Assur. Eng. Manag..

[21]  Yong Tae Yoon,et al.  A Comparison of Microgrid Topologies Considering Both Market Operations and Reliability , 2014 .