Bad data detection, identification and correction in distribution system state estimation based on PMUs

Oliveira, Bráulio César de; Melo, Igor D.; Souza, Matheus Almeida

doi:10.1007/s00202-021-01406-2

Cited by 12 publications

(6 citation statements)

References 25 publications

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“…As we all know, the power distribution system is a dynamic network, and the operation state of the power distribution network changes due to uncertain factors such as frequent load changes, fault trips, and equipment maintenance [3,4]. Under the planning of carbon peaking and carbon neutralization, more and more distributed energy sources are connected [5], which makes the distribution network larger, more complex in structure and diversified in operation modes.…”

Section: Introductionmentioning

confidence: 99%

Research on Topology Dynamic Perception and Line Parameter Identification of Distribution Network

Dai

et al. 2023

Preprint

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The absence of network topology and line parameter information data affects the condition monitoring, analysis and control of active distribution networks. In order to solve this problem, this paper proposes a method to identify the topology and line parameters of distribution network using the measured values obtained by intelligent meters and phasor measurement units. The initial model of topology and line parameter identification based on linear regression is solved by orthogonal triangular decomposition to obtain the initial values of topology and line, and the improved Newton Raphson (NR) is used to accurately identify the network topology and parameters. The proposed method is validated on IEEE 33 bus test system.

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Section: Introductionmentioning

confidence: 99%

Research on Topology Dynamic Perception and Line Parameter Identification of Distribution Network

Dai

et al. 2023

Preprint

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“…NCS belong to the class of real-time systems where the task values depend not only on the efficiency of the calculations but also on their uptime. Rapid technological development has increased, at a reasonable cost, the number of devices for implementing control and diagnostic algorithms sharing the same communication network [1,2]. Real-time automation considers the limitations of computing resources computers and communication networks as design constraints.…”

Section: Introductionmentioning

confidence: 99%

High-Level Petri Nets-Based Modeling of Network Controlled Systems under Communication Constraints (Network-Induced Delay)

Farah

Chabir

Abdelkrim

2022

Scientific Programming

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Our work deals with the problems of communication delays, packets dropouts, and quantization errors in the signal transmitted in network-controlled systems (NCS). Although NCS provides a paradigm for adapting to frequent changes in the manufacturing industry, modeling and managing operations are difficult issues due to the complex interactions between system entities and the effect of the network-induced delay on the closed-loop system. Therefore, our paper is about detecting degradations resulting from the insertion of a network in the regulation loop, which can even lead in some cases to the destabilization of the NCS. This paper mainly studies the problem of the graphic modeling, based on the colored Petri nets (CPN), of the NCS under communication constraints. Therefore, models of the communication network (Ethernet) and system entities are presented. Then, the influence of network-induced delay is detected. Finally, as an idea for future work, we propose a solution based on an SDN controller in order to avoid precedent degradations.

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“…However, in the modern and increasingly intelligent electrical network (smarter grid) there are numerous distributed resources that, although a priori independent, require synchronized monitoring in order to evaluate the mutual influence and the global effect of their connection in the network. In response to this need, ad hoc measurement equipment was developed, the most relevant being the phasor measurement units (PMUs) [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…PMUs are used to estimate the magnitude and phase of electrical magnitudes (e.g., voltage or current) [6][7][8][9][10][11]. Synchronization features are provided via GPS or IEEE 1588 Precision Time Protocol (PTP), designed to allow real-time synchronization of several remote points in the grid.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, a typical commercial PMU can report measurements with very high temporal resolution, up to 120 measurements per second (30, 60 and 120 are common reporting rates) [10]. This helps with analyzing dynamic events in the grid, which is not possible with traditional SCADAs that generate one measurement every 2 or 4 s. Therefore, PMUs with enhanced monitoring and control capabilities are considered as one of the most important measuring devices in the current and future design of power systems [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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Online System for Power Quality Operational Data Management in Frequency Monitoring Using Python and Grafana

et al. 2021

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This article proposes a measurement solution designed to monitor the instantaneous frequency in power systems. It uses a data acquisition module and a GPS receiver for time stamping and traceability. A Python-based module receives data, computes the frequency, and finally transfers the measurement results to a database. The frequency is calculated with two different methods, which are compared in the article. The stored data is visualized using the Grafana platform, thus demonstrating its potential for comparing scientific data. The system as a whole constitutes an efficient, low-cost solution as a data acquisition system.

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Bad data detection, identification and correction in distribution system state estimation based on PMUs

Cited by 12 publications

References 25 publications

Research on Topology Dynamic Perception and Line Parameter Identification of Distribution Network

Research on Topology Dynamic Perception and Line Parameter Identification of Distribution Network

High-Level Petri Nets-Based Modeling of Network Controlled Systems under Communication Constraints (Network-Induced Delay)

Online System for Power Quality Operational Data Management in Frequency Monitoring Using Python and Grafana

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