Joint optimal placement of PMU and conventional measurements in power systems

Kavasseri, Rajesh G.; Srinivasan, Sudarshan K.

doi:10.1109/iscas.2010.5537855

Cited by 23 publications

(21 citation statements)

References 15 publications

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“…A BILP model for simultaneous placement of PMUs and traditional power flow measurements is formulated in [19], by introducing auxiliary variables and constraints. The mixed-integer programming is used to incorporate the stochastic nature of components and their outage probabilities whereas an efficient linearization technique is proposed to convert the nonlinear function representing the probability of observability into a set of linear expressions [20].…”

Section: A Integer Programming (Ip)mentioning

confidence: 99%

Taxonomy of PMU Placement Methodologies

Manousakis

Korres

Georgilakis

2012

IEEE Trans. Power Syst.

324

158

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Utilization of phasor measurement units (PMUs) in the monitoring, protection and control of power systems has become increasingly important in recent years. The aim of the optimal PMU placement (OPP) problem is to provide the minimal PMU installations to ensure full observability of the power system. Several methods, based on mathematical and heuristic algorithms, have been suggested for the OPP problem. This paper presents a thorough description of the state of the art of the optimization methods applied to the OPP problem, analyzing and classifying current and future research trends in this field.

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Section: A Integer Programming (Ip)mentioning

confidence: 99%

Taxonomy of PMU Placement Methodologies

Manousakis

Korres

Georgilakis

2012

IEEE Trans. Power Syst.

324

158

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“…The major weakness of using intelligent search algorithms is that globally optimal solutions are not guaranteed. Approaches based on deterministic methods as proposed in [19][20][21][22][23][24][25][26][27][28][29][30][31] attempt to build equivalent integer problems (EIP) to describe how the PMUs installed in the power system cause the whole network to be observable according to the observability rules and then solve the EIP using local or general optimization techniques. The method described in [6] was a breakthrough that used an EIP model to describe the task of PMU placement at strategic buses to make the entire system observable.…”

Section: Introductionmentioning

confidence: 99%

A Substation-Oriented Approach to Optimal Phasor Measurement Units Placement

Bao¹,

Guo²,

Han³

et al. 2015

Journal of Electrical Engineering and Technology

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-State Estimation (SE) is the basis of a variety of advanced applications used in most modern power systems. An SE problem formed with enough phasor measurement units (PMUs) data is simply a linear weighted least squares problem requiring no iterations. Thus, designing a minimumcost placement of PMUs that guarantees observability of a power system becomes a worthy challenge. This paper proposes an equivalent integer linear programming method for substation-oriented optimal PMU placement (SOOPP). The proposed method uses an exhaustive search to determine a globally optimal solution representing the best PMU placement for that particular power system. To obtain a more comprehensive model, contingencies and the limitation of the number of PMU measurement channels are considered and embodied in the model as changes to the original constraints and as additional constraints. The proposed method is examined for applicability using the IEEE 14-bus, 118-bus and 300-bus test systems. The comparison between SOOPP results and results obtained by other methods reveals the excellence of SOOPP. Furthermore, practical large-scale power systems are also successfully analyzed using SOOPP.

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“…Thus, PMUs are increasingly being deployed by electric utilities worldwide and are slated to be an inherent part in the future operation of power systems. [1,2] When a PMU is placed at a bus in a power system, the voltage phasor at that bus and current phasors in all branches that are incident on that bus can be obtained. A bus is said to be observable if the voltage phasor at that bus is known and the power system is said to be completely observable when all the buses are observable.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, the optimal PMU placement (OPP) problem concerns with where and how many PMUs should be installed in a power system to achieve full observability at minimum number of PMUs. [2,3] Being an area of a great research interest, different techniques have been used to solve the OPP problem as summarized in [4]. References [2,[5][6][7] propose an integer linear programming formulation to solve the OPP problem.…”

Section: Introductionmentioning

confidence: 99%

“…[2,3] Being an area of a great research interest, different techniques have been used to solve the OPP problem as summarized in [4]. References [2,[5][6][7] propose an integer linear programming formulation to solve the OPP problem. In [5] the OPP problem is solved under different cases of redundant PMU placement, full observability and incomplete observability.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal placement of synchronized phasor measurement units based on differential evolution algorithm

Al-Mohammed¹,

Abido

Mansour

2011

2011 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East

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This paper proposes a method based on differential evolution (DE) algorithm for the problem of optimal placement of phasor measurement units (PMUs) in an electric power network. The problem is to minimize the required number of PMUs and, at the same time, maximize the PMU measurement redundancy subject to the constraint of achieving full network observability. Network observability is assessed with the aid of the topological observability rules. In order to cope with the continuous changes in the power system's topology, the optimization problem is formulated considering not only the new PMUs to be installed but also the existing ones to be retained or relocated. Additionally, the new formulation takes into account the locations, if any, at which PMUs shall or shall not be placed. The effectiveness of the proposed method is verified via IEEE 14-bus, 30-bus, 39-bus and 57-bus standard systems. Index Terms -Differential Evolution (DE), Phasor Measurement Unit (PMU), Optimal PMU Placement (OPP)

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Joint optimal placement of PMU and conventional measurements in power systems

Cited by 23 publications

References 15 publications

Taxonomy of PMU Placement Methodologies

Taxonomy of PMU Placement Methodologies

A Substation-Oriented Approach to Optimal Phasor Measurement Units Placement

Optimal placement of synchronized phasor measurement units based on differential evolution algorithm

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