Optimal placement of phasor measurement unit for system observability: (Case study: Southern region power system network, ethiopia)

The Phasor Measurement Unit (PMU) is a modern metering apparatus positioned on current power system to facilitate the accurate monitoring and control. PMUs are most precise and latest technique based on time synchronization which gives measurements of voltages and current angles at the buses and branches at which PMU is placed and branches which are connected to those buses, respectively. In addition, as a result of Ohm's Law, due to placement of PMU at a bus, adjacent buses also turn out to be observable. This entails that a system can be made observable with a smaller number of PMUs than the total number of system buses. Hence it is essential to find the minimal number of PMUs for entire system observability. In the present work, Power System Analysis Toolbox (PSAT) is employed for a comparative analysis of optimal placement of PMU using different methods such as depth first, graph theory, and simulated annealing. Different methods have been verified, compared and studied on southern region 21 Bus System Ethiopia.

[1]  Qian Ai,et al.  Optimal PMU placement considering topology constraints , 2015 .

[2]  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.

[3]  Barjeev Tyagi,et al.  Optimal placement of PMU with optimal branch current phasors for complete and incomplete observability , 2011, 2011 IEEE Power and Energy Society General Meeting.

[4]  S. Premrudeepreechacharn,et al.  An Optimal PMU Placement Method Against Measurement Loss and Branch Outage , 2007, IEEE Transactions on Power Delivery.

[5]  M. Begovic,et al.  Nondominated sorting genetic algorithm for optimal phasor measurement placement , 2002, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[6]  Mohammad Javad Feizollahi,et al.  An investment decision model for the optimal placement of phasor measurement units , 2015, Expert Syst. Appl..

[7]  Hamid Lesani,et al.  A Multi-Objective PMU Placement Method Considering Measurement Redundancy and Observability Value Under Contingencies , 2013, IEEE Transactions on Power Systems.

[8]  Amany El-Zonkoly,et al.  Optimal meter placement using genetic algorithm to maintain network observability , 2006, Expert Syst. Appl..

[9]  Franz Franchetti,et al.  An Information-Theoretic Approach to PMU Placement in Electric Power Systems , 2012, IEEE Transactions on Smart Grid.

[10]  T. Baldwin,et al.  Power system observability with minimal phasor measurement placement , 1993 .

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

[12]  Lalit Goel,et al.  PMU based observability reliability evaluation in electric power systems , 2014 .

[13]  K. Swarup,et al.  Optimal placement of PMU and SCADA measurements for security constrained state estimation , 2011 .

[14]  G. Thomas Bellarmine,et al.  Improving observability using optimal placement of phasor measurement units , 2014 .

[15]  Carlos A. Castro,et al.  Optimal substation PMU placement method for the two-level state estimator , 2013, 2013 3rd International Conference on Electric Power and Energy Conversion Systems.

[16]  Yuan Liao,et al.  Optimal Placement of Phasor Measurement Units for Improving Power System State Estimation Accuracy: A Heuristic Approach , 2012 .

[17]  Arye Nehorai,et al.  Placement of PMUs Considering Measurement Phase-Angle Mismatch , 2015, IEEE Transactions on Power Delivery.

[18]  Qiao Li,et al.  Phasor measurement units placement for power system state estimation: A greedy approach , 2011, 2011 IEEE Power and Energy Society General Meeting.

[19]  A.Z. Gamm,et al.  PMU placement criteria for EPS state estimation , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[20]  Yue Yang,et al.  PMU placement for optimal three-phase state estimation performance , 2013, 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm).