A three-phase algorithm for state estimation in power distribution feeders based on the powers summation load flow method

Júnior, Manoel F. Medeiros; Almeida, Marcos Antonio Dias de; Cruz, Melinda Cesianara Silva da; Monteiro, Rafaela V.F.; Oliveira, Abmael B.

doi:10.1016/j.epsr.2015.01.021

Cited by 9 publications

(10 citation statements)

References 16 publications

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“…However, the fact that most measurements used in state estimation are pseudo-measurements reveals the paramount importance of their appropriate modeling, so they shall represent the network conditions as realistic as possible [17]. Before the estimation process, the utilization factor, the factor of load imbalance and the power factor are used to define the loads [14,18]. These factors are commonly used in load flow algorithms to calculate the power injected at the nodes and are considered as fixed values, whereas in the state estimation algorithm the same factors are updated in the estimation process.…”

Section: Load Adjustment Processmentioning

confidence: 99%

“…The utilization factor indicates the percentage of the installed load that is being used and frequently has a fixed value when applied to the load flow methods used for planning purposes. In this work, the calculation of the system utilization factor presents a distinct dynamic, being updated according to the variation of measured current and voltage data [18]. In addition, a utilization factor will be used for each point of the feeder that has real-time metering for each phase, so the following expression will be used:…”

Section: Load Adjustment Processmentioning

confidence: 99%

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A New Linear State Estimator for Fault Location in Distribution Systems Based on Backward-Forward Currents Sweep

et al. 2020

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This paper presents a new linear state estimation model based on a current summation load flow method for three-phase distribution systems. The developed estimator may be applied to both the supervision of distribution systems under normal operating conditions and the fault location in cases of low and high impedance faults. Our studies were conducted using a real distribution feeder. For fault location analysis, the system was modeled using the ATP (alternative transient program) in order to emulate measurements of voltages and currents at the substation, and voltage magnitudes registered by other meters during the fault. We used the MATLAB™ software to process the algorithms. The main contributions that arose after integrating the current method into system supervision in case of network failures under normal operating conditions and the fault location are as follows: (i) estimation of system losses; (ii) modeling of loads in real time to consider their contributions in the fault location process; and (iii) low influence of fault resistance in the location algorithm. The results show that the proposed method has good precision, low computational processing time, and is promising for distribution system supervision with a reduced number of meters.

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Section: Load Adjustment Processmentioning

confidence: 99%

Section: Load Adjustment Processmentioning

confidence: 99%

A New Linear State Estimator for Fault Location in Distribution Systems Based on Backward-Forward Currents Sweep

et al. 2020

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“…where mPi is the number of active injected power measurements, mP f is the number of active power flow measurements, mQi is the number of reactive injected power measurements, mQ f is the number of reactive power flow measurements, mI is the number of current magnitude measurements, mV is the number of voltage magnitude measurements, and nb is the number of electric nodes. The nonlinear model is formed by the three-phase injected power models (6) and 7; three-phase power flow models (8) and 9; and the three-phase current model (10):…”

Section: Weighted Least Square Estimationmentioning

confidence: 99%

“…This fact may lead to convergence problems in the state estimation algorithm due to lack of measurement redundancy. Faced with this situation, [7] and [8] proposed state estimation methodologies that have modeled pseudo-measurements to improve the grid's observability. A neural network structure was used in [7] to model active and reactive power injection pseudo-measurements for the distribution systems state estimation.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, load adjustments were performed in [8] based on dynamic imbalance and utilization factors to calculate power pseudo-measurements in order to enhance the state estimator performance in distribution networks. Though this methodology is capable of estimating the voltage phasors of a distribution grid with few measurements, the utilization factor might damage the state estimation performance if it is not correctly determined.…”

Section: Introductionmentioning

confidence: 99%

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Full-Observable Three-Phase State Estimation Algorithm Applied to Electric Distribution Grids

2019

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This paper proposes the development of a three-phase state estimation algorithm, which ensures complete observability for the electric network and a low investment cost for application in typical electric power distribution systems, which usually exhibit low levels of supervision facilities and measurement redundancy. Using the customers´ energy bills to calculate average demands, a three-phase load flow algorithm is run to generate pseudo-measurements of voltage magnitudes, active and reactive power injections, as well as current injections which are used to ensure the electrical network is full-observable, even with measurements available at only one point, the substation-feeder coupling point. The estimation process begins with a load flow solution for the customers´ average demand and uses an adjustment mechanism to track the real-time operating state to calculate the pseudo-measurements successively. Besides estimating the real-time operation state the proposed methodology also generates nontechnical losses estimation for each operation state. The effectiveness of the state estimation procedure is demonstrated by simulation results obtained for the IEEE 13-bus test network and for a real urban feeder.

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Verification and estimation of phase connectivity and power injections in distribution network

Krsman¹,

Sarić

2017

Electric Power Systems Research

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A three-phase algorithm for state estimation in power distribution feeders based on the powers summation load flow method

Cited by 9 publications

References 16 publications

A New Linear State Estimator for Fault Location in Distribution Systems Based on Backward-Forward Currents Sweep

A New Linear State Estimator for Fault Location in Distribution Systems Based on Backward-Forward Currents Sweep

Full-Observable Three-Phase State Estimation Algorithm Applied to Electric Distribution Grids

Verification and estimation of phase connectivity and power injections in distribution network

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