Design and Accuracy Analysis of Multilevel State Estimation Based on Smart Metering Infrastructure

Pau, Massimiliano; Patti, Edoardo; Barbierato, Luca; Estebsari, Abouzar; Pons, Enrico; Ponci, Ferdinanda; Monti, Antonello

doi:10.1109/tim.2018.2890399

Cited by 47 publications

(34 citation statements)

References 41 publications

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“…Andreas Kotsonias, Student Member, IEEE, Markos Asprou, Member, IEEE, Lenos Hadjidemetriou, Member, IEEE, and Elias Kyriakides, Senior Member, IEEE L the system (layout and grid parameters). In [12], the DSSE of the MVDG is enhanced by exploiting the smart meters in the LVDGs. A multilevel DSSE is first used to determine the state of the LVDG.…”

Section: State Estimation For Distribution Grids With a Single Point mentioning

confidence: 99%

“…This observation is extended in [22] for radial systems with the neutral grounded only at the transformer substation. Therefore, despite that the results of the FBS are characterized by a considerable uncertainty [12], they are still a good indication for the neutral voltage and can be used as virtual measurements in the proposed WLS SE. The FBS method used in this paper to construct the virtual measurements of the neutral voltage is the one described in [22].…”

Section: B Proposed Modificationsmentioning

confidence: 99%

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State Estimation for Distribution Grids with a Single Point Grounded Neutral Conductor

Kotsonias

Asprou

Hadjidemetriou

et al. 2020

IEEE Trans. Instrum. Meas.

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Distribution system state estimation (DSSE) has been enabled by the deployment of smart meters and is currently the subject of active research, focused mainly in medium voltage distribution grids (MVDGs). This paper proposes a modified weighted least squares (WLS) DSSE for low voltage distribution grids (LVDGs) where the neutral conductor is grounded only at the MV-LV substation. DSSE methods developed for MVDGs are not applicable in such systems due to the significant voltage drop across the neutral conductor. The proposed DSSE includes the neutral voltage in the state vector and the measurement functions are modified accordingly. To address any convergence issues and to enhance the accuracy of the proposed DSSE, virtual measurements are introduced for the neutral voltage. The effectiveness of the proposed DSSE is illustrated in a real LVDG and in the IEEE European low voltage test feeder under different operating conditions, smart meter classes and system layouts. In addition, a Monte Carlo analysis is performed for highlighting the importance of the proposed modifications to the WLS DSSE. Among others the analysis indicate that the proposed method converged in all trials, despite including the neutral voltage in the state vector.

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Section: State Estimation For Distribution Grids With a Single Point mentioning

confidence: 99%

Section: B Proposed Modificationsmentioning

confidence: 99%

State Estimation for Distribution Grids with a Single Point Grounded Neutral Conductor

Kotsonias

Asprou

Hadjidemetriou

et al. 2020

IEEE Trans. Instrum. Meas.

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“…where Q d is the covariance of the process noise for the discretized microgrid state space realization, and y last is defined as follows (15):…”

Section: Event-based Kalman Filter Based On Send-on-deltamentioning

confidence: 99%

Microgrid State Estimation and IoT: Modelling Concepts and Design Algorithm

Alavi¹,

Javadipour²,

Mehran³

2020

Preprint

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<pre>State estimation is one of the main challenges in the microgrids, due to the complexity of the system dynamics and the limitations of the communication network. In this regard, a novel real-time event-based optimal state estimator is introduced in this technical paper, which uses the proposed adaptive send-on-delta (SoD) non-uniform sampling method over wireless sensors networks. The proposed estimator requires low communication bandwidth and incurs lower computational resource cost appropriate for Internet of things (IoT) communication networks. The threshold for the SoD sampler is made adaptive based on the average communication link delay, which is computed in a distributed form using the event-based average consensus protocol. The SoD non-uniform signal sampling approach reduces the traffic over the IoT communication network due to the events transmitted only when there is a level crossing in the measurements. The state estimator structure is extended on top of the traditional Kalman filter with the additional stages for the fusion of the received events. The error correction stage is further improved by optimal reconstruction of the signals using projection onto convex sets (POCS) algorithm.</pre>

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“…There are a number of methods proposed in the literature for distribution networks with DER [25,26]. However, such methods need sparse real-time measurements, which requires a communication infrastructure with large bandwidth and high reliability [27]. The problem is that the current distribution networks are in a transition period towards active distribution networks which is not well supported by developed measurement and communication infrastructures.…”

Section: Solutions For Wide Area Monitoringmentioning

confidence: 99%

A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration

et al. 2019

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In order to systematically shift existing control and management paradigms in distribution systems to new interoperable communication supported schemes in smart grids, we need to map newly developed use cases to standard reference models like Smart Grid Architecture Model (SGAM). From the other side, any new use cases should be tested and validated ex-ante before being deployed in the real-world system. Considering various types of actors in smart grids, use cases are usually tested using co-simulation platforms. Currently, there is no efficient co-simulation platform which supports interoperability analysis based on SGAM. In this paper, we present our developed test platform which offers a support to design new use cases based on SGAM. We used this platform to develop a new scheme for wide area monitoring of existing distribution systems under growing penetration of Photovoltaic production. Off-the-shelf solutions of state estimation for wide area monitoring are either used for passive distribution grids or applied to the active networks with wide measurement of distributed generators. Our proposed distribution state estimation algorithm does not require wide area measurements and relies on the data provided by a PV simulator we developed. This practical scheme is tested experimentally on a realistic urban distribution grid. The monitoring results shows a very low error rate of about 1 % by using our PV simulator under high penetration of PV with about 30 % error of load forecast. Using our SGAM-based platform, we could propose and examine an Internet-of-Things-based infrastructure to deploy the use case.

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Design and Accuracy Analysis of Multilevel State Estimation Based on Smart Metering Infrastructure

Cited by 47 publications

References 41 publications

State Estimation for Distribution Grids with a Single Point Grounded Neutral Conductor

State Estimation for Distribution Grids with a Single Point Grounded Neutral Conductor

Microgrid State Estimation and IoT: Modelling Concepts and Design Algorithm

A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration

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