Handling discardable measurements in power system state estimation

Monticelli, A.; Garcia, A.V.; Slutsker, I.W.

doi:10.1109/59.207352

Cited by 13 publications

(6 citation statements)

References 13 publications

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“…Meanwhile, the two major techniques are the numerical and the topological observability. [34] presents the fact that observability analysis based exclusively on topological information may lead to systems whose state cannot be estimated by regular estimation methods since discardable measurements may pass undetected. As a consequence, wrong results, or even convergence problems, may occur.…”

Section: Power System Observability Criterionmentioning

confidence: 99%

“…Table 5 provides the number and location of PMUs on the SIG without considering the effect of ZIBs. 17,18,20,22,24,25,26,28,30,32,33,34,36,37,39,40 0.0163 3.4.2 PMU placement considering the effect of ZIBs This fourth scenario, illustrated in figure 13, shows that considering a group of ZIBs, we get a number of 20 PMUs according to the number of red dots present on the graph.…”

Section: Placement Of Zibsmentioning

confidence: 99%

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Optimal PMU placement in the Southern Cameroon Interconnected Grid considering the effect of a group of ZIBs for complete obervability and dynamic stability

Adolphe,

Jacques,

Hubert

2024

Preprint

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In this paper, a solution for optimal PMU placement in the Southern Cameroon Interconnected grid (SIG) is proposed in response to a problem of dynamic stability in the network. In this power system, the monitoring of the parameters is ensured so far by the SCADA, a technology that gives unsynchronized measurements and whose state estimation of the grid is inconsistent. Furthermore, a scan rate of data makes the SCADA system inefficient for measuring the dynamic and transient behaviour occurring in the power grid. Present study uses the method of integer linear programming (ILP) considering the effect of a group of zero-injection buses (ZIBs). Then, a comparative analysis of our results is made with those of the algorithms of other existing optimization methods in order to evaluate the performance of the applied method from the viewpoint of the number of PMUs, the number of buses observable from one or more nodes, and the system observability redundancy index (SORI). The different results obtained through MATLAB 2020a clearly show that considering the effect of a group of ZIBs, the ILP method presents the most optimal solution with a number of 10 PMUs installed on the buses 5, 8, 10, 11, 13, 16, 25, 28, 33 and 39, with a complete observation of the SIG. This result is validated insofar as 50% of the buses obtained (5, 8, 11, 33 and 39) are found with all the other comparative methods. In addition, buses 5, 8, 10, 11, 13, 16, 39 represent the dominant interconnection substations of the SIG, bus 33 also being a dominant bus in the Area 3 of the SIG.

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Section: Power System Observability Criterionmentioning

confidence: 99%

Section: Placement Of Zibsmentioning

confidence: 99%

Optimal PMU placement in the Southern Cameroon Interconnected Grid considering the effect of a group of ZIBs for complete obervability and dynamic stability

Adolphe,

Jacques,

Hubert

2024

Preprint

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“…To obtain the advantage of ZINs features considering the full observability constraint, two types of ZINs have been introduced, including full and partial ZIN. In paper [22], the observation index is discussed and comparison in the presence of both topological and numerical observation methods. An innovative method is presented in ref.…”

Section: Literature Reviewmentioning

confidence: 99%

A reliability‐based optimal μ‐PMU placement scheme for efficient observability enhancement of smart distribution grids under various contingencies

Abdolahi

Taghizadegan

Banaei

et al. 2021

IET Science Measure & Tech

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A reliability-based optimal μ-PMU (micro-phasor measurement unit) placement scheme is suggested for efficient observability enhancement of smart distribution grids at steady-state and contingencies conditions. This article introduces a unique method for the μ-PMU allocation in reconfigurable smart distribution grids in which communication system requirements and zero injection nodes (ZINs) are considered. The original objective function and limitations are proposed aiming at minimizing the capital cost, including communication links and installation costs of μ-PMU, optical power ground wire cost, power losses cost, and reliability cost as well as obtaining the maximum number of measurement redundancy constrained to full system observability in the presence of ZINs and tie switches. The suggested method is formulated as a mixed-integer linear programming problem applied to find optimal μ-PMU locations considering the cost of communication infrastructure and co-optimize the system switching plan simultaneously. In this regard, CPLEX-a high-performance mathematical solver-is used to solve the proposed mixed-integer linear optimization problem to reach the global optimality. The simulations are performed on 33, 69, and 85-bus radial distribution networks, and comprehensive simulation studies show the effectiveness of the suggested method.

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“…This is all the more important since in few cases topologically observable system may not be numerically observable due to singularity of gain matrix. Although rare, these cases can occur in practice 31,32 . We know that a PMU can measure the voltage phasor at the bus it is placed and current phasors in the branches connected to it.…”

Section: Modeling and Problem Formulations For Optimal Placement Of Pmusmentioning

confidence: 99%

A critical review of methods for optimal placement of phasor measurement units

Johnson

Moger

2020

Int Trans Electr Energ Syst

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Summary Situational awareness of the electric power system is the need of the hour. This is in the wake of recent blackouts in various parts of the world. These blackouts could have been prevented with better telemetry and real‐time monitoring of power system states. A fast and reliable measuring system with devices optimally employed across the network shall enable reliable system operation. Faster situational awareness and visualization helps the system operator to take faster preventive measures and maintain system stability. Wide Area Monitoring System uses phasor measurement units (PMUs) to measure power system states. PMUs measure synchronously real‐time voltages at various buses and current phasors, which are flowing toward these buses. But, there is a need to optimally find the locations for installation of PMUs in the network for an observable system, with minimum investment. This optimal placement of PMUs (OPP) is a binary optimization problem, combinatorial in nature. In this paper, progress achieved until now in the field of OPP studies are consolidated. A discussion on the characteristics of problem formulations and shortcomings of methods and constraints considered has been done. Challenges have been highlighted to provide a good foundation for new researchers.

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Handling discardable measurements in power system state estimation

Cited by 13 publications

References 13 publications

Optimal PMU placement in the Southern Cameroon Interconnected Grid considering the effect of a group of ZIBs for complete obervability and dynamic stability

Optimal PMU placement in the Southern Cameroon Interconnected Grid considering the effect of a group of ZIBs for complete obervability and dynamic stability

A reliability‐based optimal μ‐PMU placement scheme for efficient observability enhancement of smart distribution grids under various contingencies

A critical review of methods for optimal placement of phasor measurement units

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