PMU placement criteria for EPS state estimation

Gamm, A.Z.; Kolosok, Irina; Glazunova, Anna; Korkina, Elena

doi:10.1109/drpt.2008.4523485

Cited by 21 publications

(12 citation statements)

References 4 publications

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“…In [22] the authors present a method to obtain an overview of the power system condition, including state estimation, the methods needed to place the PMU and SCADA to offer the best properties of the state estimation problem -such as the network observability studied-the identification of erroneous data, and the accuracy of the obtained estimates. The authors suggest a genetic algorithm (GA) for the PMU placement, which uses the following criteria: no critical measurements, maximum number of received measurements, estimates maximum accuracy, minimum cost of PMU installed, and transformation of the network graph into tree.…”

Section: State Estimation Methodsmentioning

confidence: 99%

Comparación de métodos de ubicación de PMU en sistemas de potencia para monitoreo de estabilidad de tensión

Ramírez-P¹,

Lozano

2015

I&U

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<p>A power system is subject to disturbances that may lead to voltage stability problems, which eventually may lead to black-outs. On-line phasor measurements may allow anticipating situations leading to voltage instabilities; these on-line measurements can be accomplished by using Phasor Measurement Units – PMU. However, for a power system is not economical or necessary to install PMU at each bus; in order to avoid this situation, it is required to develop a strategy for PMU placement that is useful and convenient, with a limited number of available PMU. This paper presents a review and comparison of some methods for PMU placement in power systems; also, a classification according to the type of observability is done and the application of the method is considered. Finally, a method for monitoring voltage stability in power systems is chosen and it is tested on the IEEE39-bus system using Matlab-Power System Analysis Toolbox PSAT.<strong></strong></p>

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Section: State Estimation Methodsmentioning

confidence: 99%

Comparación de métodos de ubicación de PMU en sistemas de potencia para monitoreo de estabilidad de tensión

Ramírez-P¹,

Lozano

2015

I&U

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“…The method is faster and more convenient than conventional observability analysis methods using complicated matrix analysis, because it manipulates integer numbers. A TS method on meter placement to maximize topological observability is presented in [7]. The GA method suggested in [8] solves the OPP problem using different PMU placement criteria, such as the absence of critical measurements and critical sets from the system, maximum quantity of measurements received as compared to the initial one, maximum accuracy of estimates, minimum cost of PMU placement, and transformation of the network graph into tree.…”

Section: Introductionmentioning

confidence: 99%

“…However, it is not suitable for large scale systems with huge search space. A novel topological method based on the augment incidence matrix and Tabu Search (TS) algorithm, is proposed in [7]. The solution of the combinatorial OPP problem requires less computation and is highly robust.…”

Section: Introductionmentioning

confidence: 99%

Towards optimal placement of phasor measurement units for smart distribution systems

Jamil

Rihan

Anees

2014

2014 6th IEEE Power India International Conference (PIICON)

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Phasor Measurement Units (PMUs) have potential role in power system monitoring, protection and control. PMUs directly measure and provide synchronized measurements of voltage and current phasors at various system locations. This offer numerous possibilities for ascertaining information related to the state and health of a power system. The aim of an optimal PMU placement is to provide minimal PMU installations to ensure complete observability of a power system. Several methods have been proposed in the past and significant work has been carried out till date to ensure observability of transmission networks. Penetration of new technologies at distribution level raises concern about system operation. These concerns can be addressed by synchrophasor applications. Hence, PMUs play an equally important role at distribution level also. Since, distribution systems are large in size as compared to transmission systems, the algorithms reported may take longer computational time for optimization. Hence, an approach towards optimal PMU placement for distribution system is required. This paper presents a simple and effective algorithm of PMU placement for distribution networks that saves considerable amount of computational time. The proposed algorithm is tested on IEEE-13, 34 and 123 Node Test Feeders and results show that computational time is considerably reduced without significantly affecting the number of PMUs.

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“…On the other hand, numerical methods involve large manipulations of the network matrix and are computationally costly. There are many optimal PMU placement techniques based on the concept of numerical observability, such as the Simulated Annealing method [3], the Tabu Search method [4], [5], [6], and Genetic Algorithms [7], [8]. However, all of these techniques, because they are iterative in nature, require a longer convergence time, and their convergence depends on their initial condition.…”

Section: Introductionmentioning

confidence: 99%

PMU placement methodology for voltage stability monitoring in Electrical Power Systems

P¹,

D²,

Lozano³

2019

JESTR

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This article presents a PMU placement methodology for voltage stability monitoring in Electrical Power Systems (EPSs). This methodology identifies the nodes and areas that are most sensitive to voltage stability problems, to locate the PMUs and to guarantee the voltage stability monitoring. Unlike other studies, this methodology considers the EPS as a whole and under N-1 contingencies. Criteria such as voltage stability margins, V-Q sensitivity analysis, modal analysis with participation factors in nodes, lines and generators under normal operating conditions and critical contingencies were used to identify the nodes to be installed with the PMUs. The methodology was applied to the New England 39-node test system, and the results show that this methodology is appropriate for the identification of areas and nodes that are sensitive to voltage stability problems and that these are the EPS points that should be considered for the installation of the PMUs.

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PMU placement criteria for EPS state estimation

Cited by 21 publications

References 4 publications

Comparación de métodos de ubicación de PMU en sistemas de potencia para monitoreo de estabilidad de tensión

Comparación de métodos de ubicación de PMU en sistemas de potencia para monitoreo de estabilidad de tensión

Towards optimal placement of phasor measurement units for smart distribution systems

PMU placement methodology for voltage stability monitoring in Electrical Power Systems

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