scholarly journals A brief overview of stochastic instruments for measuring flows of electrical power and energy

2019 ◽  
Vol 32 (3) ◽  
pp. 439-448
Author(s):  
Vladimir Vujicic ◽  
Dragan Pejic ◽  
Aleksandar Radonjic
Keyword(s):  
Single Phase ◽  
Electrical Power ◽  
The Other ◽  
Phasor Measurement Unit ◽  
Measurement Unit ◽  
Phasor Measurement ◽  
Three Phase ◽  
Power And Energy

This paper gives a brief overview of three instruments suitable for measuring the flow of electrical power and energy. The first instrument is a single-phase power analyzer, while the other two instruments are double and quadruple three-phase power analyzers. In addition to over viewing these instruments, the paper presents a possible improvement of a quadruple three-phase power analyzer. The implementation of this improvement would make it possible to use a quadruple three-phase power analyzer as support for the phasor measurement unit.

scholarly journals Optimization of Phasor Measurement Unit Placement Using Several Proposed Case Factors for Power Network Monitoring

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5596
Author(s):  
Maveeya Baba ◽  
Nursyarizal B. M. Nor ◽  
M. Aman Sheikh ◽  
A. Momin Baba ◽  
Muhammad Irfan ◽  
...  
Keyword(s):  
Flow Control ◽  
Smart Grids ◽  
Power Flow ◽  
Electrical Power ◽  
System Structure ◽  
Phasor Measurement Unit ◽  
Measurement Unit ◽  
Power Flow Control ◽  
Phasor Measurement ◽  
Pmu Placement

Recent developments in electrical power systems are concerned not only with static power flow control but also with their control during dynamic processes. Smart Grids came into being when it was noticed that the traditional electrical power system structure was lacking in reliability, power flow control, and consistency in the monitoring of phasor quantities. The Phasor Measurement Unit (PMU) is one of the main critical factors for Smart Grid (SG) operation. It has the ability to provide real-time synchronized measurement of phasor quantities with the help of a Global Positioning System (GPS). However, when considering the installation costs of a PMU device, it is far too expensive to equip on every busbar in all grid stations. Therefore, this paper proposes a new approach for the Optimum Placement of the PMU problem (OPP problem) to minimize the installed number of PMUs and maximize the measurement redundancy of the network. Exclusion of the unwanted nodes technique is used in the proposed approach, in which only the most desirable buses consisting of generator bus and load bus are selected, without considering Pure Transit Nodes (PTNs) in the optimum PMU placement sets. The focal point of the proposed work considers, most importantly, the case factor of the exclusion technique of PTNs from the optimum PMU locations, as prior approaches concerning almost every algorithm have taken PTNs as their optimal PMU placement sets. Furthermore, other case factors of the proposed approach, namely, PMU channel limits, radial bus, and single PMU outage, are also considered for the OPP problem. The proposed work is tested on standard Institute of Electrical and Electronics Engineering (IEEE)-case studies from MATPOWER on the MATLAB software. To show the success of the proposed work, the outputs are compared with the existing techniques.

Optimal Phasor Measurement Unit Placement for Monitoring of PEA Bowin Power

2015 ◽  
Vol 781 ◽  
pp. 325-328
Author(s):  
Korn Khunikakorn ◽  
Sanchai Dechanupaprittha
Keyword(s):  
System Analysis ◽  
The Other ◽  
Phasor Measurement Unit ◽  
Measurement Unit ◽  
Greedy Method ◽  
Total Distance ◽  
Phasor Measurement ◽  
Comparison Results ◽  
Wide Range ◽  
Pmu Placement

This paper presents an optimal method of Phasor Measurement Unit (PMU) placement in Bowin area distribution grid of the Provincial Electricity Authority (PEA) using the Improved Greedy Method (IGM) in order to achieve a minimum number of PMUs for complete observability of all bus voltages. The proposed method introduces the criteria of bus selection for PMU placement, regarding a number of branches connected to the selected bus as well as the length of those branches. Subsequently, the mismatches of the observed voltages resulted from the proposed method are compared with those resulted from the Depth First Search (DFS) using the Power System Analysis Toolbox (PSAT) and the original Greedy method (GDY) to reveal the effectiveness of the proposed placement methods. For the DFS and GDY methods, a bus with the highest number of connected branches is initially selected as the first PMU bus. However, if there is more than one bus, the first PMU bus will be randomly selected from those qualified. On the other hand, the PMU bus firstly selected by the IGM must have the highest number of connected branches as well as the minimum total distance or total impedance of all observable buses. The findings resulted from the IGM are the optimal PMU placement with the total distance of the connected branches less than the other methods, especially for, large-scale networks. According to the comparison results among the DFS, GDY and IGM, the mean absolute error (MAE) of the angle and the magnitude voltage of all buses resulted from the IGM is the lowest for a wide range of load conditions, while the MAE resulted from the DFS is the highest.

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