Topology estimation

Vempati, N.; Silva, C.; Alsaç, O.; Stott, B.

doi:10.1109/pes.2005.1489505

Cited by 20 publications

(9 citation statements)

References 5 publications

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“…STATE AND TOPOLOGY COESTIMATION AT SUBSTATION LEVEL Power system state estimation including substations is dealt with in the related literature via an extension of the bus-branch model, in which substations located in bad data pockets are represented in detail and included in the real-time network model [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical state estimation based on state & topology coestimation at substation level

Silva

Costa²,

Clements³

2013

2013 IEEE Grenoble Conference

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This paper introduces a hierarchical architecture for decentralized state estimation in which the lower level is performed at each power system substation. At this local level, a coestimation algorithm is employed which is able to provide not only estimates for nodal voltages at each substation bus section, but also the current substation topology. The higher hierarchical level, carried out at the regional control center, is responsible for coordinating the local estimates by processing power flow measurements on the network branches which interconnect the system substations. The proposed estimation architecture considerably reduces the burden of transmitting the ever increasing amount of data gathered at substation level for processing at control centers. Case studies conducted on a network composed of several substations with distinct topologies are employed to illustrate and evaluate the proposed methodology.

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Section: Introductionmentioning

confidence: 99%

Hierarchical state estimation based on state & topology coestimation at substation level

Silva

Costa²,

Clements³

2013

2013 IEEE Grenoble Conference

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“…In this case, the active/reactive power flows through those devices are also defined as state variables [11], [3], [2]. If n sb denotes the number of switching branches, then 2n sb new state variables are added to the bus voltage variables, so that the total number of states become n = 2N +2n sb −1.…”

Section: Levelmentioning

confidence: 99%

“…If not properly detected, such errors materialize as topology errors and have great impact on PSSE results, since they usually manifest themselves as multiple bad data on the analog measurements. Identifying the real cause of such a problem is a nontrivial task [1], and requires the development of specific EMS functions [2], [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Topology validation via simultaneous state & topology estimation with phasor data processing capability

Andreoli¹,

Costa²,

Clements

2014

2014 Power Systems Computation Conference

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This paper introduces a simultaneous state and topology estimation method able to process both conventional (SCADA) and synchrophasor measurements. It is devised to extract from the analog measurements not only estimates for the state variables, but also information concerning the underlying network topology. This can be accomplished by representing selected parts of the electrical network at bus section level, and by using a specialized, multiobjective optimization framework to formulate the joint estimation problem. The multiobjective criterion comprises both the familiar weighted least squares term and an additional least absolute value component that models switching branch statuses. The proposed approach can be seen as a validation step for the outcome produced by Network Processors, thereby preventing the occurrence of topology errors. The results presented in this paper show that the joint estimation approach can be extended to allow phasor measurement processing capability, and that the whole scheme can draw significant benefits from such an extension.

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“…The need for determining in real-time not only reliable state estimates, but also the network topology, has produced several distinct approaches, which are reported in the related literature [2], [3]. Those approaches, in general, decouple the state estimation and topology determination problems.…”

Section: Introductionmentioning

confidence: 99%

Two-stage hierarchical state estimation based on local substation modeling

Silva

Costa

2015

2015 IEEE Eindhoven PowerTech

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This paper presents a hierarchical structure for decentralized power system state estimation whose lower level is conducted at each power network substation. The local level modeling is based on a nonlinear Coestimation algorithm which provides not only the nodal state variables, but also the substation topology. The higher hierarchical level, performed at the Regional Control Center, coordinates the local estimates by processing the active power flow measurements taken on the transmission lines connecting the substations. In addition to other attractive features, the proposed estimation architecture also allows a substantial reduction on the amount of data transmitted from substations to control centers. The proposed methodology is tested through a number of case studies performed on the IEEE 9-bus network modeled at bus section level.Index Terms-Hierarchical state estimation, power system state estimation, real-time power system modeling, state and topology coestimation.

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Topology estimation

Cited by 20 publications

References 5 publications

Hierarchical state estimation based on state & topology coestimation at substation level

Hierarchical state estimation based on state & topology coestimation at substation level

Topology validation via simultaneous state & topology estimation with phasor data processing capability

Two-stage hierarchical state estimation based on local substation modeling

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Topology estimation

Cited by 20 publications

References 5 publications

Hierarchical state estimation based on state &amp; topology coestimation at substation level

Hierarchical state estimation based on state &amp; topology coestimation at substation level

Topology validation via simultaneous state &amp; topology estimation with phasor data processing capability

Two-stage hierarchical state estimation based on local substation modeling

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About

Hierarchical state estimation based on state & topology coestimation at substation level

Hierarchical state estimation based on state & topology coestimation at substation level

Topology validation via simultaneous state & topology estimation with phasor data processing capability