Active Phasor Data Concentrator performing adaptive management of latency

Castello, Paolo; Sulis, Sara

doi:10.1016/j.segan.2018.09.004

Cited by 22 publications

(18 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Historically, power grids were mainly comprised of large power plants based on conventional energy sources, with transmission and distribution networks distributing power to consumers [1]. Even though this power delivery paradigm has proven to be dependable and achieves economies of scale, concerns regarding resilience, robustness, and the push for use of renewable energy sources have called for alternatives to this approach.…”

Section: Introductionmentioning

confidence: 99%

A time‐sensitive networking‐enabled synchronized three‐phase and phasor measurement‐based monitoring system for microgrids

Agarwal

Niknejad

Rahmani

et al. 2021

IET Cyber-Phy Sys Theory & Ap

View full text Add to dashboard Cite

This paper presents the design and implementation of a Time‐Sensitive Networking (TSN) protocol‐enabled synchronized measurement‐based monitoring system for microgrids. The proposed approach synchronizes and prioritizes the communication nodes, allowing it to transfer ultra‐high three‐phase sampled data and phasors. TSN is achieved by Quality of Service (QoS) profile software library. This allows control, monitoring, traffic scheduling, and prioritization. Some buses in a microgrid may have priority over others; and this can be prioritized at the data level too, where a part of the information is more critical than the others. The advantages of utilizing the TSN protocol on a microgrid with the approach proposed are: it is an alternative to GPS technology, three‐phase data can be exchanged at much faster rate and data traffic in the network can be shaped with low packet loss, and low latency, in addition to providing interoperability through Data Distribution Services (DDS). These enhancements improve the communication reliability and enable distributed control, resulting in avoidance of any bottlenecks in the communications network. This proposed approach is implemented and demonstrated in a laboratory‐scale microgrid. The results obtained, verify low latency and high throughput of the entire system while meeting the TSN and QoS requirements.

show abstract

Section: Introductionmentioning

confidence: 99%

A time‐sensitive networking‐enabled synchronized three‐phase and phasor measurement‐based monitoring system for microgrids

Agarwal

Niknejad

Rahmani

et al. 2021

IET Cyber-Phy Sys Theory & Ap

View full text Add to dashboard Cite

show abstract

“…SVM is a classification method that unifies data science, mathematical optimization theories, and statistical methods with applications ranging from pattern recognition to Natural language processing (NPL). 26 SVM as a classification method works by fitting a boundary/hyperplane through points separating them based on classes they belong to Abdelsalam et al 75 To put this in perspective, an optimal hyperplane solution of a constrained linearly separable optimization problem given by equation (14), where x i , with i = 1, 2, 3 . .…”

Section: Support Vector Machinesmentioning

confidence: 99%

“…Singh et al 25 proposed a method that used Integer Linear Programming (ILP) for the Placement of PMUs to insure the entire observability of the system while using a minimum PMU number possible to detect Islanding. Castello et al 26 the authors proposed an Active PDC with an adaptive with latency management of the data streams received by all PMUs on its periphery, this was tested in Castello et al 27,28 to establish its applicability in finding faults that may lead to Islanding using different PDC vendor technology. WAMPAC system latency is of major concern when considering the use machine learning based Idms since the Idms need some computational time.…”

Section: Introductionmentioning

confidence: 99%

Wide area monitoring, protection, and control application in islanding detection for grid integrated distributed generation: A review

Tshenyego

Samikannu

Mtengi

2021

Measurement and Control

View full text Add to dashboard Cite

The assimilation of Distributed Generation (DG) into the electric power system (EPS) has become more attractive as the world is following a trend to reduce greenhouse gas emissions by introducing more renewable energy forms resulting in high penetration scenarios. This high penetration of DGs brings several challenges to the protection philosophy of the EPS which compromises its reliability, availability, and efficiency. Under high DG penetration scenarios, conventional islanding detection methods (Idms) fail to detect an island as the grid loses its inertia to leverage a significant frequency and voltage mismatch necessary for Idms to effectively detect an islanding event. This has given rise to the birth of Artificial Intelligent (AI) methods that are found to perform better in islanding detection. AI Idms are computationally intensive and require a lot of data to operate accurately. Because the computational burden of these methods requires fast computing hardware, the current trend of AI Idms are integrated with Wide Area Monitoring, Protection, and Control (WAMPAC) system. This paper aims at reviewing all these Idms and the WAMPAC’s system latency when hosting AI Idms which are currently the best in islanding detection. This is done to determine if the WAMPAC system latency plus Idms computational time meet the islanding detection time specified by the IEEE Standard 1547 framework.

show abstract

“…This method is a useful approximation of the UDP connection used in various solutions, as it simulates packet drop, reordering and duplication, which can occur in the use of the UDP connection. A similar solution applied to the actual system, but with the use of Pareto distribution, can be found in [39]. Figures 14-18 present the result of the proposed synchronization strategy.…”

Section: Simulation Of the Proposed Synchonization Strategymentioning

confidence: 99%

Remote Micro-Grid Synchronization Without Measurements at the Point of Common Coupling

2020

View full text Add to dashboard Cite

This paper presents a new strategy of active synchronization of an island micro-grid and the utility grid (UG) without measurements at the point of common coupling (PCC). This strategy is based on the assistance of Ethernet communication, GPS pulse-per-second device synchronization, and droop control parameter shift. A strategy with Ethernetassisted synchronization is used instead of synchronization with dedicated low-bandwidth communication. This strategy is based on exchanging data between two proposed devices: synchronization data sender (SDS) and synchronization data controller (SDC). The SDS calculates the UG voltage parameters and sends these data to the SDC device. The SDC is responsible for receiving synchronization data and calculating droop control parameter shift. The use of GPS-based device synchronization adds very stable and accurate measurements of synchronization parameters that correspond to the stable synchronization signal. As this strategy uses droop control method parameter change, all distributed generators share loads adequately. This strategy introduces the possibility to remove the need for measurement of voltage directly on the switch location. The proposed devices could be connected even a long distance from the PCC. The strategy also introduces the possibility of working in synchronism with the main grid despite the island mode of the micro-grid. This introduces the possibility to connect the micro-grid at the same moment as fault clear or maintenance end.

show abstract

Active Phasor Data Concentrator performing adaptive management of latency

Cited by 22 publications

References 23 publications

A time‐sensitive networking‐enabled synchronized three‐phase and phasor measurement‐based monitoring system for microgrids

A time‐sensitive networking‐enabled synchronized three‐phase and phasor measurement‐based monitoring system for microgrids

Wide area monitoring, protection, and control application in islanding detection for grid integrated distributed generation: A review

Remote Micro-Grid Synchronization Without Measurements at the Point of Common Coupling

Contact Info

Product

Resources

About