IEC 61850 Modeling of UPFC and XMPP Communication for Power Management in Microgrids

Ustun, Taha Selim; Hussain, S. M. Suhail

doi:10.1109/access.2020.3013264

Cited by 18 publications

(7 citation statements)

References 18 publications

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“…In [ 22 ], the authors discuss integration of IEC 61850 and IoT. In [ 23 ], an IEC 61850 and XMPP communication-based energy management in microgrids with integrated electric vehicles is introduced. In [ 24 ], the XMPP and MQTT are applied to an IEC 61850-based grid, and the most suitable protocol for the microgrid environment is derived by comparing two protocols.…”

Section: Related Workmentioning

confidence: 99%

Integration of IoT Technologies into the Smart Grid

Cavalieri

Cantali²,

Susinna³

2022

Sensors

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This paper presents a novel solution in the field of the integration of the Smart Grid and the Internet of Things. The definition of a web platform able to offer a RESTful interface to IEC 61850 Servers to a generic user is proposed. The web platform enables the mapping of information maintained by an IEC 61850 Server into MQTT messages. Suitable mechanisms to introduce interoperable exchange of information were defined. The paper presents the main features offered by the proposed platform. The originality of the proposal is highlighted by comparing it with the current literature. A prototype was realized, and the software implementation choices are described and the main results of its evaluation are presented.

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Section: Related Workmentioning

confidence: 99%

Integration of IoT Technologies into the Smart Grid

Cavalieri

Cantali²,

Susinna³

2022

Sensors

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“…In [ 28 ] a mapping between CoAP and IEC 61850-based substation automation systems in a SG environment is proposed. In [ 29 ] an IEC 61850 and XMPP communication-based energy management in microgrids with integrated electric vehicles is introduced. Mapping the IEC 61850 to RESTful Services is presented in [ 30 ].…”

Section: Related Workmentioning

confidence: 99%

Semantic Interoperability between IEC 61850 and oneM2M for IoT-Enabled Smart Grids

Cavalieri

2021

Sensors

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In the era of Industry 4.0, pervasive adoption of communication technologies based on the Internet of Things represents a very strong requirement in several domains. In the smart grid domain, there is the need to overcome one of the main limitations of the current electric grid, allowing the use of heterogeneous devices capable of measuring, monitoring and exchanging information about grid components. For this reason, current literature often presents research activities about enabling internet of things (IoT) in smart grids; in particular, several proposals aim to realize interworking between IoT and smart grid communication standards, allowing exchange of information between IoT devices and the electrical grid components. Semantic interoperability should be achieved in an interworking solution in order to provide a common meaning of the data exchanged by heterogeneous devices, even if they belong to different domains. Until now, semantic interoperability remains an open challenge in the smart grid field. The paper aims to propose a novel solution of interworking between two of the most used communication systems in smart grids and IoT domains, i.e., IEC 61850 and oneM2M, respectively. A semantic interoperability solution is also proposed to be used in the interworking scheme here presented.

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“…To improve the power system stability, reliability, and security of the GHPS, flexible alternating current transmission system (FACTS) devices can be connected to the tie-line. The most popular FACTS devices are thyristor control series capacitor (TCSC) [12] and unified power flow controller (UPFC) [13] which has been employed to improve the power management and stability of the GHPS. TCSC is such a device that permits fast and continuous alterations of the line impedance, regulates the flow of power in the transmission line, restricts inter-area power oscillation and improves the transient stability of the system.…”

Section: Literature Surveymentioning

confidence: 99%

“…The value of I ph is a dependent parameter on both irradiance and temperature. The load current can also be expressed by Equation (13).…”

Section: Description Of Spvmentioning

confidence: 99%

An Optimal Control of Integrated Hybrid Power System with FACTS Devices Using Student Psychology‐Based Optimization Algorithm

Mudi

Shiva²,

Mukherjee

2021

Advcd Theory and Sims

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In this paper, a student psychology-based optimization algorithm (SPBOA)-based proportional-integral-derivative (PID) controller is implemented for load frequency control (LFC) of an isolated hybrid power system (IHPS) and a grid-connected HPS (GHPS) models. In the designed models, a combined-cycle gas turbine, a diesel engine generator, a wind turbine generator and a solar photovoltaic generating unit are used as the main power generating units. A superconducting magnetic energy storage is used with IHPS model to improve the dynamic stability of the studied system. A single area power system is connected with IHPS model through a tie-line to form a GHPS. In the GHPS, a thyristor-controlled series controller and a unified power flow controller are associated with the tie-line power flow control. In this work, electric vehicle is also connected as a load to both the IHPS and GHPS models. The output profile of the proposed SPBOA-based PID controller of both models is compared with whale optimization algorithm (WOA) and quasi-oppositional-based WOA (QOWOA). The performance of IHPS and GHPS models are studied under the different load perturbations. The robustness analysis and frequency domain analysis in terms of Bode plot are also shown in favor of the SPBOA method.

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IEC 61850 Modeling of UPFC and XMPP Communication for Power Management in Microgrids

Cited by 18 publications

References 18 publications

Integration of IoT Technologies into the Smart Grid

Integration of IoT Technologies into the Smart Grid

Semantic Interoperability between IEC 61850 and oneM2M for IoT-Enabled Smart Grids

An Optimal Control of Integrated Hybrid Power System with FACTS Devices Using Student Psychology‐Based Optimization Algorithm

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