On-line Ampacity Monitoring from Phasor Measurements

Hering, Pavel; Janeček, Petr; Janeček, Eduard

doi:10.3182/20140824-6-za-1003.02592

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…system are conceded at a higher rate (up to 5-60 samples per second). Therefore, the system requires a wide area measurement which can perform continuous and simultaneous real-time information rendering [34] [35]. More or less, WAMS was aiming to improve the grid performance by stability assessment, fault detection, remedial control actions and supporting more accurate state estimation [36][37].…”

Section: Intelligent Electronic Devicesmentioning

confidence: 99%

Smart Grid communication applications: measurement equipment and networks architecture for data and energy flow

Atmaja

Andriani

Darussalam³

2019

J. Mechatron. Electr. Power Veh. Technol.

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Smart Grid is an advanced two way data and energy flow capable of self-healing, adaptive, resilient, and sustainable with prediction capability of possible fault. This article aimed to disclose Smart Grid communication in a logical way to facilitate the understanding of each component function. The study was focused on the improvement, advantages, common used design, and possible feature of Smart Grid communication components. The results of the study divide the Smart Grid communication application into two main category i.e. measurement equipment and network architecture. Measurement equipment consists of Advance Metering Infrastructure, Phasor Measurement Unit, Intelligent Electronic Devices, and Wide Area Measurement System. The network architecture is divided based on three hierarchies; local area network for 1 to 100 m with 100 kbps data rate, neighbour area network for 100 m to 10 km with 100 Mbps data rate, and wide area network for up to 100 km with 1 Gbps data rate. More information is provided regarding the routing protocol for each network from various available protocols. The final section presents the energy and data flow architecture for Smart Grid implementation based on the measurement equipment and the network suitability. This article is expected to provide a comprehensive guide and comparison surrounding the technologies supporting Smart Grid implementation especially on communication applications.

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Section: Intelligent Electronic Devicesmentioning

confidence: 99%

Smart Grid communication applications: measurement equipment and networks architecture for data and energy flow

Atmaja

Andriani

Darussalam³

2019

J. Mechatron. Electr. Power Veh. Technol.

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“…State estimation of nonlinear discrete-time stochastic dynamic systems from noisy or incomplete measurements has been a subject of considerable research interest. The topic plays an important role in signal processing, control, and fault detection of both small and large scale systems in virtually all fields of industry [1] including power generation and transmission, battery live prediction [2][3][4][5][6][7][8], automotive [9,10], navigation [11,12], speech and image processing etc. State estimation methods has also become important in non-technical fields including, for example, economics, biology, or weather forecasting.…”

Section: Introductionmentioning

confidence: 99%

Density Difference Grid Design in a Point-Mass Filter

2020

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The paper deals with the Bayesian state estimation of nonlinear stochastic dynamic systems. The stress is laid on the point-mass filter, solving the Bayesian recursive relations for the state estimate conditional density computation using the deterministic grid-based numerical integration method. In particular, the grid design is discussed and the novel density difference grid is proposed. The proposed grid design covers such regions of the state-space where the conditional density is significantly spatially varying, by the dense grid. In other regions, a sparse grid is used to keep the computational complexity low. The proposed grid design is thoroughly discussed, analyzed, and illustrated in a numerical study.

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