An optimal placement of phasor measurement unit using new sensitivity indices

This paper presents an alternative approach to solve an optimal phasor measurement unit (PMU) placement by introducing two new sensitivity indices. The indices are constructed from the information measured from PMUs such as voltage magnitude and angle. These two parameters are essential for power system stability assessment and control. Therefore, fault analysis is carried out to obtain the voltage magnitude and angle deviations at all buses in order to construct the indices. An exhaustive search method is used to solve the linear integer programming problem where all possible combinations of PMU placement are evaluated to obtain the optimal solution. Unfortunately, the traditional objective function to minimize the total number of PMU placement leads to multiple solutions. The indices can be used to assess multiple solutions of PMU placement from the exhaustive method. In this work, an optimal solution is selected based on the performance of PMU placement in according to the indices. The proposed method is tested on the IEEE 14 bus test system. Only four PMUs are required to monitor the whole test system. However, the number of PMUs can be reduced to three PMUs after applying zero injection bus elimination.

[2]  Gao Zonghe A Review on On-line Voltage Stability Monitoring Indices and Methods Based on Local Phasor Measurement , 2010 .

[3]  Mohammad Shahidehpour,et al.  Synchrophasor Measurement Technology in Power Systems: Panorama and State-of-the-Art , 2014, IEEE Access.

[4]  Biplab Bhattacharyya,et al.  Strategic placements of PMUs for power network observability considering redundancy measurement , 2019 .

[5]  Hengxu Zhang,et al.  Instability prediction of the inter-connected power grids based on rotor angle measurement , 2017 .

[6]  S. Mehraeen,et al.  Optimal PMU placement for fault observability in distributed power system by using simultaneous voltage and current measurements , 2013, 2013 IEEE Power & Energy Society General Meeting.

[7]  Faraz Zafar Khan,et al.  Line Outage Detection Using Phasor Measurement Units , 2015 .

[8]  Morteza Sarailoo,et al.  Cost-Effective Upgrade of PMU Networks for Fault-Tolerant Sensing , 2018, IEEE Transactions on Power Systems.

[9]  Yang Wang,et al.  A new node voltage stability index based on local voltage phasors , 2009 .

[10]  S.A. Soman,et al.  Optimal Multistage Scheduling of PMU Placement: An ILP Approach , 2008, IEEE Transactions on Power Delivery.

[11]  C. M. Shand,et al.  Improving actionable observability of large distribution networks for transmission operators to support improved system control, fault detection and mitigation , 2017 .

[12]  Heresh Seyedi,et al.  Optimal PMU placement for power system observability using BICA, considering measurement redundancy , 2013 .

[13]  Ahmed F. Zobaa,et al.  Optimal PMU placement using topology transformation method in power systems , 2016, Journal of advanced research.

[14]  A. C. ADEWOLE,et al.  Extended Optimal PMU Placement Problem for Voltage Stability Assessment , 2018 .

[15]  Bo Wang,et al.  PMU-Based Fault Location Using Voltage Measurements in Large Transmission Networks , 2012, IEEE Transactions on Power Delivery.

[16]  S. Ravindra,et al.  Fast Load Voltage Stability Index constrained PMU Placement for Complete Observability , 2018 .

[17]  Maveeya Baba,et al.  A comprehensive review for optimal placement of phasor measurement unit for network observability , 2020 .

[18]  H. D. Mathur,et al.  Optimized PMU Stationing for Wide Area Monitoring of Power Grid , 2015 .

[19]  H. Shareef,et al.  Optimal placement of power quality monitors in distribution systems using the topological monitor reach area , 2011, 2011 IEEE International Electric Machines & Drives Conference (IEMDC).

[20]  Zhongjie Wang,et al.  Optimal PMU Placement for Pessimistic Dynamic Vulnerability Assessment , 2017 .

[21]  Xu Hao,et al.  An effective fault location technique for transmission grids using phasor measurement units , 2012 .

[22]  . Shalini,et al.  Enhancing Performance of Wide-Area Back-Up Protection Scheme Using PMU Assisted Dynamic State Estimator , 2019, IEEE Transactions on Smart Grid.

[23]  Azah Mohamed,et al.  Novel quantum-inspired firefly algorithm for optimal power quality monitor placement , 2014 .

[24]  Zhihong Yu,et al.  Power System Transient Stability Assessment Based on Voltage Phasor and Convolution Neural Network , 2018, 2018 IEEE International Conference on Energy Internet (ICEI).