Real Time Estimation of Loads in Radial and Unsymmetrical Three-Phase Distribution Networks

Džafić, Izudin; Gilles, M.; Jabr, Rabih A.; Pal, Bikash C.; Henselmeyer, S.

doi:10.1109/tpwrs.2013.2277888

Cited by 80 publications

(37 citation statements)

References 22 publications

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“…In [45], machine learning methodologies have been investigated to provide reliable input information to a robust state estimation algorithm. Real time estimation of loads can also be obtained based on iterating between WLS estimator and load flow [46].…”

Section: A Load Estimationmentioning

confidence: 99%

Pathway to cost-efficient state estimation of future distribution networks

Liao

Milanović

2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

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Abstract-This paper provides a detailed overview of the techniques and applications related to distribution system state estimation (DSSE), together with the classification of various types of state estimation. The paper also provides the state-of-art techniques applied in DSSE including forecasted-aided state estimation, close-loop DSSE methods, the application of computation intelligence in DSSE and the use of smart meters and phasor measurement units in load estimation. As more and more active elements and functionalities will be integrated in future distribution network, e.g. demand-side management, the increased penetration of decentralized generation and dynamically controlled storage/devices, DSSE will be one of the critical functionalities for secure operation of future distribution networks. As a pathway to cost-efficient DSSE for future distribution networks, this paper addresses the characteristics of future distribution grids that will affect DSSE, and also discusses the techniques and data that can be used to better understand/model the network behaviors and load profiles in order to ultimately improve the accuracy of DSSE.

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Section: A Load Estimationmentioning

confidence: 99%

Pathway to cost-efficient state estimation of future distribution networks

Liao

Milanović

2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

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“…The topology is updated by set of tracing [34]- [35] routines. The real-time measurements are processed by Distribution System State Estimation (DSSE) component (DSSE) [36]- [47]. Albeit DSSE plays a role of load estimation in DMS, it is one of the most important components for Distribution Network Analysis (DNA).…”

Section: Distribution Management Systemmentioning

confidence: 99%

Modern Distribution Management System and Voltage VAR Control

Huseinagic

2016

scjournal

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This paper describes modern Distribution Management System (DMS) and Voltage/VAR Control (VVC) as one of its important components. Importance of DMS with respect to latest changes such as renewable energy sources, distribution generation, demand-respond is significant for the complete power system stability and control. In this paper VVC, as one of the most important applications in DMS, is explained and analyzed. VVC uses power system control equipment and calculates new optimal operational state. Typical VVC objective function is minimization of system power losses, violations of bus voltage limits, feeder capacity limits or combinations of these. Changes of controllable devices are presented through their injected current used in current iteration method for power flow. Test of Voltage/VAR control is performed on modified IEEE13 test network and results show that proper adjustments of OLTC transformers, capacitors and DG significantly reducepower losses while satisfying all operation constraints.

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“…At given node , magnitude value is (18) 2) Branch Currents: are compared with . At given branch , magnitude is given by (19) where real and imaginary parts of currents are given by and .…”

Section: Constraint Calculationsmentioning

confidence: 99%

“…This contribution presents an approach based on an interior point optimization by reducing the estimation problem to load measurement groups which are located in measurement areas or measurement subsystems [18], [19]. The optimization problem is stated as the minimization of all data noise (powers, currents, and voltages) subject to global power equations: active and reactive powers at slack bus are equal to loads plus losses.…”

Section: Introductionmentioning

confidence: 99%

Distribution System State Estimation Model Using a Reduced Quasi-Symmetric Impedance Matrix

Jesús

Quintana

2015

IEEE Trans. Power Syst.

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This paper presents a novel formulation of the Distribution System State Estimation (DSSE) optimization model. For a given electric three-phase circuit feeder, network models are built using a quasi-symmetric impedance matrix TRX representing the entire structure and topology of the radial network. As a key contribution, the state variables of demands and generators connected to large-scale distribution grids are obtained by using a convenient matrix reduction technique. As a result, the size of the optimization problem is considerably reduced with respect to the jacobian formulation by considering radial and weakly meshed exploitation and elimination of interconnecting nodes. Results and comparative analysis are presented using the IEEE 4-, 13-, 37-, 123-, and 8500-node test systems.

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Real Time Estimation of Loads in Radial and Unsymmetrical Three-Phase Distribution Networks

Cited by 80 publications

References 22 publications

Pathway to cost-efficient state estimation of future distribution networks

Pathway to cost-efficient state estimation of future distribution networks

Modern Distribution Management System and Voltage VAR Control

Distribution System State Estimation Model Using a Reduced Quasi-Symmetric Impedance Matrix

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