Implementation of a wide-area monitoring scheme for the Indian power system

Harding, Patrick J. R.; Varghese, Alan C.; Bharat, R.; Gillies, A.; Lloyd, George M.

doi:10.1049/cp.2016.0075

Cited by 4 publications

(3 citation statements)

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“…However, the nonuniformity in the locations of the sensors, the growing incorporation of distributed generation, and the use of complementary measurement types, where various key variables are simultaneously monitored at each sensor, pose considerable challenges [5]. Even with simplifications, the resulting models are typically huge, reflecting the global scale and complexity of modern power systems [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

Distributed Monitoring of Power System Oscillations Using Multiblock Principal Component Analysis and Higher-order Singular Value Decomposition

Roman-Messina

Castillo-Tapia

Roman-Garcia

et al. 2022

Journal of Modern Power Systems and Clean Energy

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The primary goal in the analysis of hierarchical distributed monitoring and control architectures is to study the spatiotemporal patterns of the interactions between areas or subsystems. In this paper, a novel conceptual framework for distributed monitoring of power system oscillations using multiblock principal component analysis (MB-PCA) and higher-order singular value decomposition (HOSVD) is proposed to understand, characterize, and visualize the global behavior of the power system. The proposed framework can be used to evaluate the influence of a given area or utility on the oscillatory behavior, uncover low-dimensional structures from high-dimensional data, and analyze the effects of heterogeneous data on the modal characteristics and interpretation of power system. The metrics are then investigated to examine the relationships between the dynamic patterns and participation of individual data blocks in the global behavior of the system. Practical application of these techniques is demonstrated by case studies of two systems: a 14-machine test system and a 5449-bus 635-generator equivalent model of a large power system.

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Section: Introductionmentioning

confidence: 99%

Distributed Monitoring of Power System Oscillations Using Multiblock Principal Component Analysis and Higher-order Singular Value Decomposition

Roman-Messina

Castillo-Tapia

Roman-Garcia

et al. 2022

Journal of Modern Power Systems and Clean Energy

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“…In a hierarchical order, these PMUs located in the substations send synchrophasor data from 29 State Load Dispatch Centres to 5 Regional Load Dispatch Centres, and finally to National Load Dispatch Centre. At the national level, the project was planned to accommodate up to 3,000 PMUs in the future [13]. One of the major challenges identified in the deployment of PMUs is the financial constraint because of size of the system i.e., number of nodes present across the country [14].…”

Section: Introductionmentioning

confidence: 99%

Development of cost-effective phasor measurement unit for wide area monitoring system applications

Raju

Shree

Kumar

2021

IJECE

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<span>Sustained growth in the demand with unprecedented investments in the transmission infrastructure resulted in narrow operational margins for power system operators across the globe. As a result, power networks are operating near to stability limits. This has demanded the electrical utilities to explore new avenues for control and protection of wide area systems. Present supervisory control and data acquisition/energy management systems (SCADA/EMS) can only facilitate steady state model of the network, whereas synchrophasor measurements with GPS time stamp from wide area can provide dynamic view of power grid that enables supervision, and protection of power network and allow the operator to take necessary control/remedial measures in the new regime of grid operations. Construction of phasor measurement unit (PMU) that provide synchrophasors for the assessment of system state is widely accepted as an essential component for the successful execution of wide area monitoring system (WAMS) applications. Commercial PMUs comes with many constraints such as cost, proprietary hardware designs and software. All these constraints have limited the deployment of PMUs at high voltage transmission systems alone. This paper addresses the issues by developing a cost-effective PMU with open-source hardware, which can be easily modified as per the requirements of the applications. The proposed device is tested with IEEE standards.</span>

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“…For example, phasor measurement units (PMU) today commonly use sampling frequencies of the order of 10 kHz [14,15], and they operate continuously, generating large data sets. For example, the outputs of approximately 3,000 PMUs in India are expected to require 350 terabytes of storage annually and approximately 150 Mbps communication bandwidth [16], and their inputs are at least two orders of magnitude larger. An important issue then becomes how to pre-process that input data set, hoping to avoid excessive storage, communication and computation requirements.…”

Section: Introductionmentioning

confidence: 99%

A sub-cycle approach to dynamic phasors with application to dynamic power quality metrics

Ghanavati¹

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Implementation of a wide-area monitoring scheme for the Indian power system

Cited by 4 publications

References 0 publications

Distributed Monitoring of Power System Oscillations Using Multiblock Principal Component Analysis and Higher-order Singular Value Decomposition

Distributed Monitoring of Power System Oscillations Using Multiblock Principal Component Analysis and Higher-order Singular Value Decomposition

Development of cost-effective phasor measurement unit for wide area monitoring system applications

A sub-cycle approach to dynamic phasors with application to dynamic power quality metrics

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