Distributed Data Analytics Platform for Wide-Area Synchrophasor Measurement Systems

Zhou, Dao; Guo, Jiahui; Zhang, Ye; Chai, Jidong; Liu, Hesen; Liu, Yong; Huang, Can; Gui, Xun; Li, Fangxing

doi:10.1109/tsg.2016.2528895

Cited by 66 publications

(21 citation statements)

References 19 publications

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“…AC has been proposed to store historic data in a cloud-based architecture for SG [9] and considered to fulfill a similar role in a distributed data analytics platform for Wide-Area Synchrophasor Measurement Systems [10]. The system's success can be mainly attributed to its masterless architecture, linear scalability, multiple data center deployments and continuous availability.…”

Section: Data Storage In Cassandramentioning

confidence: 99%

Smart Grids Data Management: A Case for Cassandra

Pinheiro

Vinagre

Praça

et al. 2017

Distributed Computing and Artificial Intelligence, 14th International Conference

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Abstract. The objective of this paper is to present a SMACK based platform for microgrids data storage and management. The platform is being used in a real microgrid, with an infrastructure that monitors and controls 3 buildings within the GECAD -ISEP/IPP campus, while, at the same time, receives and manages data sources coming from different types of buildings from associated partners, to whom intelligent services are being provided. Microgrid data comes in different formats, different rates and with an increasing volume, as the microgrid itself covers more customers and areas. Based on the atual available computational resources, a Big Data platform based on the SMACK stack was implemented and is presented. The Cassandra component of the stack has evolved. AC version 2 is still supported until the version 4 release, and is often still used in production environments. However, a new stable version, version 3, introduces major optimizations in the storage that bring disk space savings. The main focus of this work is on the Data Storage and the formalization of the data mapping in Cassandra version 3, which is contextualized by means of a short example with data coming from the monitoring infrastructure of the microgrid.

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Section: Data Storage In Cassandramentioning

confidence: 99%

Smart Grids Data Management: A Case for Cassandra

Pinheiro

Vinagre

Praça

et al. 2017

Distributed Computing and Artificial Intelligence, 14th International Conference

View full text Add to dashboard Cite

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“…Due to the recent developments in wide-area measurement system (WAMS), adaptive damping controller design has drawn a lot of attention. Work performed in [11], [12] and development of algorithms for applying system identification techniques in power system [13] are critical in these aspect. However, most of the research till now is focused on tuning of local adaptive controllers while the issue of coordination among all the controller is not addressed well yet.…”

Section: Introductionmentioning

confidence: 99%

Coherency and Online Signal Selection Based Wide Area Control of Wind Integrated Power Grid

Thakallapelli

Hossain

Kamalasadan

2018

IEEE Trans. on Ind. Applicat.

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This paper introduces a novel method of designing Wide Area Control (WAC) based on a discrete Linear Quadratic Regulator (LQR) and Kalman filtering based state-estimation that can be applied for real-time damping of inter-area oscillations of wind integrated power grid. The main advantages of the proposed method are that the architecture provides: a) online coherency grouping that properly characterizes real-time changes in the power grid, and b) online wide-area signal selection based on residue method for proper selection of the WAC signals. The proposed architecture can thus accurately monitors changes in the power grid and select the appropriate control signal for more effectively damping the inter-area oscillation when compared to the conventional local signal based Power System Stabilizers (PSS) or offline based WAC designs. The architecture is tested on a wind integrated two-area system and IEEE 39 bus system in order to show the capability of proposed method.

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“…However, the PMUs need to be co-located to avoid communication delays. Wide Area Measurement Systems (WAMS) are being employed in the power industry for real-time measurements of different grid parameter [12], [13]. Current systems, such as SCADA (supervisory control and data acquisition)/EMS (energy management systems), do not provide efficient solutions in the case of cascading because these systems are designed to act locally.…”

Section: Introductionmentioning

confidence: 99%

A gossip algorithm based clock synchronization scheme for smart grid applications

Parvez

Sarwat

Pinto

et al. 2017

2017 North American Power Symposium (NAPS)

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The uprising interest in multi-agent based networked system, and the numerous number of applications in the distributed control of the smart grid leads us to address the problem of time synchronization in the smart grid. Utility companies look for new packet based time synchronization solutions with Global Positioning System (GPS) level accuracies beyond traditional packet methods such as Network Time Protocol (NTP). However GPS based solutions have poor reception in indoor environments and dense urban canyons as well as GPS antenna installation might be costly. Some smart grid nodes such as Phasor Measurement Units (PMUs), fault detection, Wide Area Measurement Systems (WAMS) etc., requires synchronous accuracy as low as 1 ms. On the other hand, 1 sec accuracy is acceptable in management information domain. Acknowledging this, in this study, we introduce gossip algorithm based clock synchronization method among network entities from the decision control and communication point of view. Our method synchronizes clock within dense network with a bandwidth limited environment. Our technique has been tested in different kinds of network topologies-complete, star and random geometric network and demonstrated satisfactory performance.

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Distributed Data Analytics Platform for Wide-Area Synchrophasor Measurement Systems

Cited by 66 publications

References 19 publications

Smart Grids Data Management: A Case for Cassandra

Smart Grids Data Management: A Case for Cassandra

Coherency and Online Signal Selection Based Wide Area Control of Wind Integrated Power Grid

A gossip algorithm based clock synchronization scheme for smart grid applications

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