Numerical observability analysis of distribution systems

Gelagaev, Ratmir; Vermeyen, Pieter; Vandewalle, Joos; Driesen, Johan

doi:10.1109/ichqp.2010.5625500

Cited by 13 publications

(9 citation statements)

References 17 publications

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“…However, using an orthogonal linear rotational transformation matrix T , it is possible to obtain a decoupled relationship between the state variables and power flows (17). This can be applied in DS.…”

Section: Power Measurementsmentioning

confidence: 99%

Distribution Systems State Estimation for Distributed Generation Re-synchronization

Bermúdez-Calderón

Díaz-Morales

Mojica‐Nava

2017

Rev. Fac. Ing. Univ. Antioquia

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Section: Power Measurementsmentioning

confidence: 99%

Distribution Systems State Estimation for Distributed Generation Re-synchronization

Bermúdez-Calderón

Díaz-Morales

Mojica‐Nava

2017

Rev. Fac. Ing. Univ. Antioquia

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“…Fig. 3 shows the result of the observability analysis using the method in [20]. Time of the day, h K It can be seen that the network is found to be unobservable and is subdivided into two observable islands (indicated by the dotted lines).…”

Section: Comparison With Existing Methodsmentioning

confidence: 99%

“…To demonstrate the advantages of the proposed observabiltiy index it was compared with the method presented in [20]. This method calculates the network observability based on the inverse function theory and the jacobian matrix of the network.…”

Section: Comparison With Existing Methodsmentioning

confidence: 99%

An observability index for distribution networks using information entropy

Brinkmann

Negnevitsky

Yee

et al. 2015

2015 Australasian Universities Power Engineering Conference (AUPEC)

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Information about the accuracy of state estimation results in distribution networks is crucial for an effective and safe network management. This paper explores a new method of quantifying the uncertainty of a state estimation result by using information entropy as an index for observability. This index has the ability to represent the network observability as a single continuous number, making it possible for the network operator to objectively evaluate the reliability of a state estimation result. This paper also investigates the changes in observability due to load variations and demonstrates how an optimal meter placement method based on the proposed observability index can be implemented. The proposed method has been tested via simulations on a modified IEEE 34 Bus Test Feeder and was compared with an existing method.Index Terms-state estimation, observability, information entropy, optimal meter placement I.

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“…To overcome this limitation, a numerical method is quite popular in the research community. The numerical method is based on the Jacobian matrix of system measurement or relevant information (gain) matrix [42,43,[69][70][71][72]. In this method, all electrical network parameters are taken into consideration.…”

Section: Methodsmentioning

confidence: 99%

“…Here, the observability restoration is possible without observable island identification. A system's Jacobian matrix and the inverse function theory based method is proposed in [71]. The system's Jacobian matrix is formed to calculate all relevant information of the system.…”

Section: Methodsmentioning

confidence: 99%

Distribution system energy management through capacity constrained optimization

Uddin¹

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Due to the widespread installation of Distributed Energy Resources (DER) and Demand SideManagement resources (DSM) into Distribution Systems (DS), the usage pattern of the DS has changed remarkably in recent times. As a result, the DS has the potential to lead its network operational parameters, such as bus voltage profiles and line flows, outside of their allowable limits. Therefore, they increase the variability and range of variation of loads in the network. However, the DS generally are not designed for such conditions. Thus, it becomes necessary to reassess and redesign the network capacity. A standard strategy would be to increase the capacity of the network, however, this is costly. A cost-effective strategy could be to improve the management of such a system by improving the determination of its actual capacity. Recent advances in ICT equipment make it appear possible to manage the critical loading conditions instead of increasing capacity of the network. Thus, an energy management system is required to perform that function during critical loading. In this thesis, a framework for controlling a network-oriented autonomous energy management system on the distribution network using network capacity constrained is proposed.The framework is based on a State Estimation (SE) technique, which is able to determine the most probable system state of a network. Practically, the system's operational parameters may be unobservable due to measurement deficiency, loss of communication etc. In such a situation, the observability analysis needs to be performed on the available measurement data to investigate whether the operational parameters are observable or unobservable. Such an analysis is taken into account in this thesis.The proposed framework is akin to an Optimal Power Flow (OPF) problem, where SE gives a starting point to the simulation layer. The simulation layer supports the optimization under the network constraints. In this framework, the challenging task is to formulate the network constraints.To this end, a linearization based map is generated from the functional relationships between an arbitrary set of control variables and an extensive variety of constrainable operational parameters.This map permits the formulation of linear inequality constraints to build a flexible system to manage the network within existing capacity. The feasibility of the proposed constrained generation is demonstrated using an extensive variety of cost functions from a simple Linear Programming (LP) to non-linear functions like absolute value. The significant feature of this approach is that it is flexible both in terms of constrained parameters and control variables.Along with observability, controllability is another crucial factor regarding capacity constrained state optimization. The controllability analysis would allow the decision to be made of whether or not available control variables allow changing the value of operational parameters to specific values without other influences. With this in mind, a technique to a...

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Numerical observability analysis of distribution systems

Cited by 13 publications

References 17 publications

Distribution Systems State Estimation for Distributed Generation Re-synchronization

Distribution Systems State Estimation for Distributed Generation Re-synchronization

An observability index for distribution networks using information entropy

Distribution system energy management through capacity constrained optimization

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