The Autonomic Power System - Network operation and control beyond smart grids

2012 ◽  
Author(s):  
S. D. J. McArthur ◽  
P. C. Taylor ◽  
G. W. Ault ◽  
J. E. King ◽  
D. Athanasiadis ◽  
...  
Keyword(s):  
Power System ◽  
Smart Grids ◽  
Network Operation ◽  
And Control

scholarly journals Conformance Testing and Analysis of Synchrophasor Communication Message Structures and Formats for Wide Area Measurement Systems in Smart Grids

2017 ◽  
Vol 6 (2) ◽  
pp. 106
Author(s):  
Adeyemi Charles Adewole ◽  
Raynitchka Tzoneva
Keyword(s):  
Power Systems ◽  
Power System ◽  
Communication Networks ◽  
Smart Grids ◽  
Data Communication ◽  
System Stability ◽  
Area Measurement ◽  
Wide Area ◽  
Protection And Control ◽  
And Control

The renewed quest for situational awareness in power systems has brought about the use of digital signal processing of power system measurements, and the transmission of such data to control centres via communication networks. At the control centres, power system stability algorithms are executed to provide monitoring, protection, and control in order to prevent blackouts. This can be achieved by upgrading the existing Supervisory Control and Data Acquisition (SCADA) systems through the deployment of newly proposed power system synchrophasor-based applications for Wide Area Monitoring, Protection, and Control (WAMPAC). However, this can only be done when there is a complete understanding of the methods and technologies associated with the communication network, message structure, and formats required. This paper presents an analysis of the IEEE C37.118 synchrophasor message framework, message formats, and data communication of synchrophasor measurements from Phasor Measurement Units (PMUs) for WAMPAC schemes in smart grids. A newly designed lab-scale testbed is implemented and used in the practical experimentation relating to this paper. Synchrophasor measurements from the PMUs are captured using a network protocol analyzer software-Wireshark, and the compliance of the synchrophasor message structures and formats captured was compared to the specifications defined in the IEEE C37.118 synchrophasor standard.

scholarly journals Machine Learning-Based Intrusion Detection for Achieving Cybersecurity in Smart Grids Using IEC 61850 GOOSE Messages

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 826
Author(s):  
Taha Selim Ustun ◽  
S. M. Suhail Hussain ◽  
Ahsen Ulutas ◽  
Ahmet Onen ◽  
Muhammad M. Roomi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Intrusion Detection ◽  
Power System ◽  
Smart Grids ◽  
Detection System ◽  
Object Oriented ◽  
Security Systems ◽  
Iec 61850 ◽  
Communication Traffic ◽  
And Control

Increased connectivity is required to implement novel coordination and control schemes. IEC 61850-based communication solutions have become popular due to many reasons—object-oriented modeling capability, interoperable connectivity and strong communication protocols, to name a few. However, communication infrastructure is not well-equipped with cybersecurity mechanisms for secure operation. Unlike online banking systems that have been running such security systems for decades, smart grid cybersecurity is an emerging field. To achieve security at all levels, operational technology-based security is also needed. To address this need, this paper develops an intrusion detection system for smart grids utilizing IEC 61850’s Generic Object-Oriented Substation Event (GOOSE) messages. The system is developed with machine learning and is able to monitor the communication traffic of a given power system and distinguish normal events from abnormal ones, i.e., attacks. The designed system is implemented and tested with a realistic IEC 61850 GOOSE message dataset under symmetric and asymmetric fault conditions in the power system. The results show that the proposed system can successfully distinguish normal power system events from cyberattacks with high accuracy. This ensures that smart grids have intrusion detection in addition to cybersecurity features attached to exchanged messages.

scholarly journals Special Issue on Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2678
Author(s):  
Pierluigi Siano ◽  
Miadreza Shafie-khah
Keyword(s):  
Power System ◽  
Smart Grids ◽  
Business Models ◽  
Special Issue ◽  
And Control

The current power system should be renovated to fulfill social and industrial requests and economic advances [...]

scholarly journals Integration and control of lithium-ion BESSs for active network management in smart grids: Sundom smart grid backup feeding case

2021 ◽  
Author(s):  
Chethan Parthasarathy ◽  
Hossein Hafezi ◽  
Hannu Laaksonen
Keyword(s):  
Smart Grid ◽  
Network Management ◽  
Smart Grids ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Lithium Ion ◽  
Active Network ◽  
Li Ion ◽  
Grid Side ◽  
And Control

AbstractLithium-ion battery energy storage systems (Li-ion BESS), due to their capability in providing both active and reactive power services, act as a bridging technology for efficient implementation of active network management (ANM) schemes for land-based grid applications. Due to higher integration of intermittent renewable energy sources in the distribution system, transient instability may induce power quality issues, mainly in terms of voltage fluctuations. In such situations, ANM schemes in the power network are a possible solution to maintain operation limits defined by grid codes. However, to implement ANM schemes effectively, integration and control of highly flexible Li-ion BESS play an important role, considering their performance characteristics and economics. Hence, in this paper, an energy management system (EMS) has been developed for implementing the ANM scheme, particularly focusing on the integration design of Li-ion BESS and the controllers managing them. Developed ANM scheme has been utilized to mitigate MV network issues (i.e. voltage stability and adherence to reactive power window). The efficiency of Li-ion BESS integration methodology, performance of the EMS controllers to implement ANM scheme and the effect of such ANM schemes on integration of Li-ion BESS, i.e. control of its grid-side converter (considering operation states and characteristics of the Li-ion BESS) and their coordination with the grid side controllers have been validated by means of simulation studies in the Sundom smart grid network, Vaasa, Finland.

Modelling and control of a railway power conditioner in co‐phase traction power system under partial compensation

2014 ◽  
Vol 7 (5) ◽  
pp. 1044-1054 ◽  
Author(s):  
Ning‐Yi Dai ◽  
Man‐Chung Wong ◽  
Keng‐Weng Lao ◽  
Chi‐Kong Wong
Keyword(s):  
Power System ◽  
Power Conditioner ◽  
And Control ◽  
Partial Compensation ◽  
Traction Power
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