scholarly journals Optimization of Phasor Measurement Unit (PMU) Placement: A Review

2021 ◽  
Vol 7 (4) ◽  
pp. 9-13
Author(s):  
Rachana Pandey ◽  
◽  
Dr. H.K. Verma ◽  
Dr. Arun Parakh ◽  
Dr. Cheshta Jain Khare ◽  
...  
Keyword(s):  
Power Systems ◽  
Phasor Measurement Unit ◽  
Measurement Unit ◽  
Power Network ◽  
Placement Problem ◽  
Electrical Grid ◽  
Phasor Measurement ◽  
Huge Data ◽  
Pmu Placement ◽  
Optimal Pmu Placement

In today’s world, a Phasor Measurement Unit (PMU) is a crucial component of our power network for managing, controlling, and monitoring. PMU can provide synchronized voltage current, and frequency measurements in real time. We can't put a PMU in every bus in the electrical grid because it's not viable from a productivity and economic standpoint, and it's also not practical for handling huge data. As a result, it's critical to reduce the amount of PMU in the power network while also increasing the power network's observability. The optimal PMU placement problem is solved using a variety of methodologies. The paper's main goal is to provide a brief overview of synchrophasor technology, phasor measurement units (PMU), and optimal PMU placement in order to reduce the number of PMUs in the system while maintaining complete observability and application in today's power systems.

Weak Bus-Oriented Installation of Phasor Measurement Unit for Power Network Observability

2017 ◽  
Vol 18 (5) ◽  
Author(s):  
Rohit Babu ◽  
Biplab Bhattacharyya
Keyword(s):  
New England ◽  
Stability Index ◽  
Load Flow ◽  
Phasor Measurement Unit ◽  
Electrical Network ◽  
Measurement Unit ◽  
Power Network ◽  
Electrical Grid ◽  
Phasor Measurement ◽  
Weak Bus

AbstractPhasor measurement unit (PMU) is a GPS-based monitoring equipment employed for the improvement of the stability and reliability of the electrical grid. In this work, an optimal PMU placement has been considered to utilize the least number of units in order to make the power network fully observable. Further, this article also suggests to not only determine the minimal number and optimal locations of PMUs but also installation of the maximum number of PMUs on the weakest bus in an electrical network. Thus, the weak bus based on line stability index utilizing load flow measurement is determined. Then a novel numerical methodology which depends upon binary integer linear programming, constrained by weak bus measurement is proposed in this paper. Also, the effect of a single PMU loss considering weak buses is shown. The developed approach has been conducted on standard IEEE -14, -118, -300 and New England 39- bus test systems. Finally, obtained results and comparison with different weak bus methodologies are shown and examined.

scholarly journals Optimal placement of PMU for complete observability of the interconnected power network considering zero-injection bus: A numerical approach

2020 ◽  
Vol 9 (2) ◽  
pp. 135
Author(s):  
Rohit Babu ◽  
Biplab Bhattacharyya
Keyword(s):  
Numerical Approach ◽  
Optimal Placement ◽  
Measurement Unit ◽  
Total System ◽  
Power Network ◽  
Setup Cost ◽  
Placement Problem ◽  
Pmu Placement ◽  
Redundancy Index ◽  
Optimal Pmu Placement

<div data-canvas-width="397.3623059866966">This paper presents an approach to place the phasor measurement unit (PMU)</div><div data-canvas-width="397.3623059866962">optimally, which minimizes the setup cost of PMU. This methodology attains complete state estimation of the interconnected power networks. An integer linear programming (ILP) method is explored for the optimal PMU placement problem. It is used to determine the optimal location and minimum number of PMUs necessary to make the interconnected power network completely observable. ILP may provide many solutions if acquainting buses to zero injection buses are unhandled. In the case of more than one solution, a bus observability redundancy index and total system observability redundancy index is proposed to find the most promising solutions set for redundancy measurement. The proposed algorithm is applied to benchmark the optimal PMU placement solutions for the IEEE 14-bus, IEEE 30-bus, New England 39-bus, IEEE 118-bus, and NRPG 246-bus test systems. The obtained results of the proposed approach are compared with the existing standard algorithm, and it is observed that the proposed approach achieves complete observability of the interconnected power network under base-load conditions.</div>

scholarly journals A Bounded Exhaustive Search Technique for Optimal Phasor Measurement Unit Placement in Power Grids

Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 2021
Author(s):  
Ahmad Asrul Ibrahim ◽  
Khairuddin Khalid ◽  
Hussain Shareef ◽  
Nor Azwan Mohamed Kamari
Keyword(s):  
Search Space ◽  
Exhaustive Search ◽  
Operating Conditions ◽  
Power Grids ◽  
Phasor Measurement Unit ◽  
Computational Time ◽  
Measurement Unit ◽  
Search Technique ◽  
Phasor Measurement ◽  
Pmu Placement

This paper proposes a technique to determine the possible optimal placement of the phasor measurement unit (PMU) in power grids for normal operating conditions. All possible combinations of PMU placement, including infeasible combinations, are typically considered in finding the optimal solution, which could be a massive search space. An integer search algorithm called the bounded search technique is introduced to reduce the search space in solving a minimum number of PMU allocations whilst maintaining full system observability. The proposed technique is based on connectivity and symmetry constraints that can be derived from the observability matrix. As the technique is coupled with the exhaustive technique, the technique is called the bounded exhaustive search (BES) technique. Several IEEE test systems, namely, IEEE 9-bus, IEEE 14-bus, IEEE 24-bus and IEEE 30-bus, are considered to showcase the performance of the proposed technique. An initial Monte Carlo simulation was carried out to evaluate the capability of the bounded search technique in providing a smaller feasible search space. The effectiveness of the BES technique in terms of computational time is compared with the existing exhaustive technique. Results demonstrate that the search space can be reduced tremendously, and the computational burden can be eased, when finding the optimal PMU placement in power grids.

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