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Big data analytics on PMU measurements

Mukhtaj Khan, Maozhen Li, Phillip Ashton, Gareth Taylor, Junyong Liu
2014 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)  
Data Analytics on PMU Measurements Mukhtaj Khan 1 , Maozhen Li 1 , Phillip Ashton 1 , Gareth Taylor 1 and Junyong Liu 2 generation in Scotland to the main demand centres in England and Wales.  ...  Following the works presented in [25, 26] , we are currently researching the methodologies to optimize the performance of Hadoop based on Starfish [27] , a self-tuning system for big data analytics.  ... 
doi:10.1109/fskd.2014.6980923 dblp:conf/fskd/KhanLATL14 fatcat:ob5bmp2qpzabfdb2b73g26rkee

Distribution Synchrophasors: Pairing Big Data with Analytics to Create Actionable Information

Hamed Mohsenian-Rad, Emma Stewart, Ed Cortez
2018 IEEE Power and Energy Magazine  
In this section, we make the case that big data analytics (Bda) is the key to addressing the challenges in working with µPMu measurements and so turn the data into actionable insights in a scalable fashion  ...  In this section, we discuss two predictive analytics examples based on real-world µPMu data.  ... 
doi:10.1109/mpe.2018.2790818 fatcat:2y2tyvkhivbg3dh6k2ifebj6t4

Author Index

2019 2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)  
Adhikari, Luigi Vanfretti, Hossein Hooshyar A Reconfigurable Hardware Prototype for Precompliance Testing of Phasor Measurement Units Big Data Analytic and the Electric Utility Industry Wei Trinh, Thomas  ...  Becejac, Thomas Overbye Impact of PMU Data Errors on Modal Extraction Using Matrix Pencil Method Asja Derviskadic Impact of Time Dissemination Technologies on Synchrophasor Estimation Accuracy  ... 
doi:10.1109/sgsma.2019.8784571 fatcat:wuiwb6yanrbytmxrvav3rt5pte

Apache Spark a Big Data Analytics Platform for Smart Grid

Shyam R., Bharathi Ganesh H.B., Sachin Kumar S., Prabaharan Poornachandran, Soman K.P.
2015 Procedia Technology - Elsevier  
This paper presents Apache spark as a unified cluster computing platform which is suitable for storing and performing Big Data analytics on smart grid data for applications like automatic demand response  ...  The data collected from these sensors are huge and have all the characteristics to be called as Big Data.  ...  This demands a unified frame-work, which can handle both data and the processing capabilities required for smart-grid data analysis Big Data Analytics on Smart Grid Performance of Big Data analytics  ... 
doi:10.1016/j.protcy.2015.10.085 fatcat:fyyehvjiu5ez7k7alymo2znnrm

Review of the Techniques of the Data Analytics and Islanding Detection of Distribution Systems Using Phasor Measurement Unit Data

Ahmed Amirul Arefin, Maveeya Baba, Narinderjit Singh Sawaran Singh, Nursyarizal Bin Mohd Nor, Muhammad Aman Sheikh, Ramani Kannan, Ghulam E. Mustafa Abro, Nirbhay Mathur
2022 Electronics  
The principal contribution of this review article is its detailed discussion of real-time symmetrical PMU data and it further presents different PMU data analytic techniques and the proposed schemes for  ...  Phasor Measurement Unit can assist in islanding detection, but it can generate 30 samples/s, so there is always the possibility of making particular period data disappear.  ...  , INTI International University, Malaysia for providing state-of-the-art research facilities to carry on this work.  ... 
doi:10.3390/electronics11182967 fatcat:3jqww2xgcnaqvc6aa7w5ss3x2u

Synergizing PMU Data from Multiple Locations in Indian Power Grid-Case Study

Makarand Sudhakar Ballal, Amit Ramchandra Kulkarni
2021 IEEE Access  
An extensive state-of-the-art review of big data analytics and its prime applications in power systems are expressed in this paper.  ...  Control Based on Synchrophasor Measurement Data Mining,” Energies, vol.  ... 
doi:10.1109/access.2021.3074562 fatcat:hra5m7sbunhbxlbfirsuufriwi

State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data

Felix Rafael Segundo Sevilla, Yanli Liu, Emilio Barocio, Petr Korba, Manuel Andrade, Federica Bellizio, Jorrit Bos, Balarko Chaudhuri, Hector Chavez, Jochen Cremer, Robert Eriksson, Camille Hamon (+17 others)
2021 International Journal of Electrical Power & Energy Systems  
data acquisition, handling, storage, modelling and analytics.  ...  and data-driven solutions.  ...  It was only thanks to them that it was possible to provide a real insight that greatly assisted the information provided on this document.  ... 
doi:10.1016/j.ijepes.2021.107772 fatcat:5bo4h3qvcvahnd4ecow46fgzxa

Massive Streaming PMU Data Modeling and Analytics in Smart Grid State Evaluation Based on Multiple High-Dimensional Covariance Tests [article]

Lei Chu, Robert Qiu, Xing He, Zenan Ling, Yadong Liu
2017 arXiv   pre-print
In this paper, we first represent massive streaming PMU data as big random matrix flow.  ...  The analogous deployment of phase measurement units (PMUs), the increase of data quantum and the deregulation of energy market, all call for the robust state evaluation in large scale power systems.  ...  We first try to turn the big PMU data (massive highdimensional PMU data streams) into tiny data (PMU data segments) for practical use.  ... 
arXiv:1609.03301v5 fatcat:xxgrvtqzt5gkxo3726wsfov5au

Big Data Analytics in Smart Grids: State-of-the-Art, Challenges, Opportunities, and Future Directions

Bishnu Bhattarai, Sumit Paudyal, Yusheng Luo, Manish Mohanpurkar, Kwok W Cheung, Reinaldo Tonkoski, Rob Hovsapian, Kurt Myers, Rui Zhang, Power Zhao, Milos Manic, Song Zhang (+1 others)
2019 IET Smart Grid  
The paper analyzes research gaps and presents insights on future research directions to integrate big data analytics into power system planning and operational frameworks.  ...  Detailed information for utilities looking to apply big data analytics and insights on how utilities can enhance revenue streams and bring disruptive innovation are discussed.  ...  Utilisation of heterogeneous data Existing big data applications in smart grids are based on single data type, primarily smart meter or PMU data.  ... 
doi:10.1049/iet-stg.2018.0261 fatcat:e4bgzwgu2rfyzljc57xvmhhsca

A Random Matrix Theoretical Approach to Early Event Detection Using Experimental Data [article]

Y. Cao, L. Cai, C. Qiu, J. Gu, X. He, Q. Ai, Z.Jin
2015 arXiv   pre-print
This paper describes the basic mathematical theory of this big data method, and the real-world data of a certain China power grid is used to verify the methods.  ...  The mean spectral radius (MSR) of non-Hermitian random matrices is defined as a statistic analytic for the fault detection.  ...  In recent years, increasing data are collected from Phasor Measurement Units (PMUs), Intelligent Electronic Devices (IEDs), Supervisory Control and Data Acquisition (SCADA) and so on [2] .  ... 
arXiv:1503.08445v1 fatcat:kydscpmoezf4defvhz4cprxura

Review on Oscillatory Stability in Power Grids with Renewable Energy Sources: Monitoring, Analysis, and Control using Synchrophasor Technology

Lasantha Gunaruwan Meegahapola, Siqi Bu, Darshana Prasad Wadduwage, Chi Yung Chung, Xinghuo Yu
2020 IEEE transactions on industrial electronics (1982. Print)  
In particular, emerging big data analytics techniques could be used on synchrophasor data streams to develop oscillatory stability monitoring, analysis, and damping techniques.  ...  Synchrophasor technology offers superior capability to measure and monitor power systems in real time, and power system operators require better understanding of how it can be used to effectively analyze  ...  WIDE-AREA MONITORING AND ANALYSIS USING BIG DATA ANALYTICS Big data analytics is becoming a very active research area in synchrophasor measurement networks, as a large amount of synchrophasor data accumulates  ... 
doi:10.1109/tie.2020.2965455 fatcat:elqzlzh2mbeujbsux7gmuexjui

Role of Big Data Analytics in Power System Application

Ravi V Angadi, P. S Venkataramu, Suresh Babu Daram, S. Tummala, S. Kosaraju, P. Bobba, S. Singh
2020 E3S Web of Conferences  
Also focuses on using very large data collections, which are difficult to access in standard database systems and also refers to as big data, to manage and monitor the power system.  ...  This article focus mainly role of Big Data in various industrialization in brief and specifically applied in the power system studies along with other sectors.  ...  Data application in Power & Energy system.  ... 
doi:10.1051/e3sconf/202018401017 fatcat:xzi4qiki6rfijfkrbv7j5qvyea

Continuous learning of HPC infrastructure models using big data analytics and in-memory processing tools

Francesco Beneventi, Andrea Bartolini, Carlo Cavazzoni, Luca Benini
2017 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017  
This becomes rapidly a "big data" scale problem.  ...  We then show how state-of-the art tools for big data computing and analysis, such as Apache Spark, can be used to manage the huge amount of data delivered by the monitoring layer and to build adaptive  ...  , data analytics and so on.  ... 
doi:10.23919/date.2017.7927143 dblp:conf/date/BeneventiBCB17 fatcat:yyme4x474bhwrdrfn2mpnmso74

Optimizing Hadoop Performance for Big Data Analytics in Smart Grid

Mukhtaj Khan, Zhengwen Huang, Maozhen Li, Gareth A. Taylor, Phillip M. Ashton, Mushtaq Khan
2017 Mathematical Problems in Engineering  
The rapid deployment of Phasor Measurement Units (PMUs) in power systems globally is leading to Big Data challenges.  ...  This paper presents an Enhanced Parallel Detrended Fluctuation Analysis (EPDFA) algorithm for scalable analytics on massive volumes of PMU data.  ...  The MapReduce model has become a de facto standard for Big Data analytics by capitalizing on clusters of inexpensive commodity computers.  ... 
doi:10.1155/2017/2198262 fatcat:c556pvmllbedjfbafvz5wbmx7i

Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data [article]

Jun Jiang and Xuan Liu and Scott Wallace and Eduardo Cotilla-Sanchez and Robert Bass and Xinghui Zhao
2020 arXiv   pre-print
Phasor measurement units (PMUs) provide high-fidelity data that improve situation awareness of electric power grid operations.  ...  In this paper, we present a comprehensive analysis of multiple machine learning techniques to detect malicious data injection within PMU data streams.  ...  To address these challenges, research developed within the fields of big data analytics and machine learning can be applied to efficiently process and analyze PMU data, as well as detect any data disruption  ... 
arXiv:2008.09153v1 fatcat:loz23zf6mnfdxobhoh3drhwhjq
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