State estimation in distribution system considering effects of AMI data

Jia, Zhensheng; Chen, Jia‐Xiong; Liao, Yuan

doi:10.1109/secon.2013.6567406

Cited by 21 publications

(10 citation statements)

References 8 publications

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“…The assumed estimation error rate was found to be less than 1% when the aggregated power flow has a 3% measurement error [30]. Other researchers evaluated the voltage estimation error in a more realistic network along with load fluctuations [31]. The result shows that, with 1% measurement noise, the estimation error of the voltage magnitude is less than 1%.…”

Section: Evaluation Of Robustness For Measurement Errormentioning

confidence: 90%

“…In this situation, state estimation in a high-voltage distribution network, which is on the primary side of a pole-transformer, can contribute to estimating the RMS voltage of the pole-transformer . Distribution system state estimators were proposed [30,31] and their robustness against the measurement error was evaluated. …”

Section: Evaluation Of Robustness For Measurement Errormentioning

confidence: 99%

See 1 more Smart Citation

Topology-Based Estimation of Missing Smart Meter Readings

Kodaira

Han

2018

Energies

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Smart meters often fail to measure or transmit the data they record when measuring energy consumption, known as meter readings, owing to faulty measuring equipment or unreliable communication modules. Existing studies do not address successive and non-periodical missing meter readings. This paper proposes a method whereby missing readings observed at a node are estimated by using circuit theory principles that leverage the voltage and current data from adjacent nodes. A case study is used to demonstrate the ability of the proposed method to successfully estimate the missing readings over an entire day during which outages and unpredictable perturbations occurred.

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Section: Evaluation Of Robustness For Measurement Errormentioning

confidence: 90%

Section: Evaluation Of Robustness For Measurement Errormentioning

confidence: 99%

Topology-Based Estimation of Missing Smart Meter Readings

Kodaira

Han

2018

Energies

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“…Baran et al pointed out that the voltage and electric load measurements at customer sites can be used for state estimation in the distribution systems [3]. As shown in [6], the access to accurate AMI data can improve the state estimation results in power distribution systems. In [7], the author provided a detailed discussion of three-phase distribution system modeling, measurement functions, and constraints.…”

Section: Introductionmentioning

confidence: 99%

State estimation for unbalanced electric power distribution systems using AMI data

Gao

2017

2017 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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Abstract-The distribution system state estimation (DSSE) problem is very challenging due to complexities at the distribution network structure level and sensor level. This paper first develops a DSSE formulation similar to the real world settings. In particular, unbalanced single-phase and two-phase measurements are considered. In addition, constraints associated with zero injections and center tapped transformers are carefully modeled. An orthogonal elimination based DSSE algorithm is developed to solve the nonlinear optimization problem with equality constraints. The proposed algorithm has better numerical properties than the existing methods and does not require tunable parameters. The simulation results from modified IEEE 13-bus test feeder show that the proposed DSSE formulation and algorithm yield accurate state estimation results.

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“…In this area, many researches with several types of approaches have been developed. However, the Weighted Least Squares (WLS) method is universally established in providing good performance to state estimation [1][2][3].…”

Section: Introductionmentioning

confidence: 99%