Using IEC 61850 GOOSE Service for Adaptive ANSI 67/67N Protection in Ring Main Systems with Distributed Energy Resources

Silos, Angel; Señís, Aleix; Pozuelo, Ramon Martín de; Zaballos, Agustín

doi:10.3390/en10111685

Cited by 21 publications

(21 citation statements)

References 18 publications

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“…Available communication capacity for two SMV publishers in a high-availability seamless redundancy (HSR) network [13] is:…”

Section: The Timing Analysis Of Sampled Values Streamsmentioning

confidence: 99%

“…The experiment focused on the hard in the loop test with traditional current and voltage-operated protection relays and with sampled measured values according to IEC 61850-9-2LE. The comparison found that the relay protection function performance is very similar to that of classical substations, with the advantage of the data transmission in digital form.Reference [13] focused on the configuration of IEC 61850 GOOSE service for easy implementation with electric protection systems; the authors proposed an algorithm to achieve full implementation of the IEC 61850 instead of the hard wired network connection.Reference [14] focused on the reliability analysis of the cyber-physical interface matrix (CPIM) methodology. The test calculated the impact of the physical device failure and the communication devices failures.…”

mentioning

confidence: 99%

“…Reference [13] focused on the configuration of IEC 61850 GOOSE service for easy implementation with electric protection systems; the authors proposed an algorithm to achieve full implementation of the IEC 61850 instead of the hard wired network connection.…”

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confidence: 99%

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Analysis of IEC 61850-9-2LE Measured Values Using a Neural Network

et al. 2019

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Process bus communication has an important role to digitalize substations. The IEC 61850-9-2 standard specifies the requirements to transmit digital data over Ethernet networks. The paper analyses the impact of IEC 61850-9-2LE on physical protections with (analog-digital) input data of voltage and current. With the increased interaction between physical devices and communication components, the test proposes a communication analysis for a substation with the conventional method (analog input) and digital method based on the IEC 61850 standard. The use of IEC 61850 as the basis for smart grids includes the use of merging units (MUs) and deployment of relays based on microprocessors. The paper analyses the merging unit's functions for relays using IEC 61850-9-2LE. The proposed method defines the sampled measured values source and analysis of the traffic. By using neural net pattern recognition that solves the pattern recognition problem, a relation between the inputs (number of samples/ms-interval time between the packets) and the source of the data is found. The benefit of this approach is to reduce the time to test the merging unit by getting the feedback from the merging unit and using the neural network to get the data structure of the publisher IED. Tests examine the GOOSE message and performance using the IEC standard based on a network traffic perspective.Reference [6] proposes solutions to integrate IEC 61850 communication with the meters and their communication interfaces. This work implemented a complete smart grid realized on the basis of IEC standards. As further discussed in this work, the number of integrated units that can be used for monitoring and control purposes in the power system is quite small, and that means that there is also need for developed techniques for data handling to achieve realize smart distribution [7].Research work has been presented in [8] analyzing the various communications options for scalable deployment of smart grid services. As stated in [8], the authors used the software-defined utility (SDU) concept to obtain automated management of the smart grid.Reference [9] focused on the communications capabilities in traditional protections with the ability to use other technologies like WiFi and 3G for signal communication in real time. Several research articles [10,11] have proposed methods to develop self-healing functionality in smart grids using IEC 61850.Reference [12] proposed a laboratory test bed for comparing the performance of digital, hybrid and traditional substations. The experiment focused on the hard in the loop test with traditional current and voltage-operated protection relays and with sampled measured values according to IEC 61850-9-2LE. The comparison found that the relay protection function performance is very similar to that of classical substations, with the advantage of the data transmission in digital form.Reference [13] focused on the configuration of IEC 61850 GOOSE service for easy implementation with electric protection systems; the authors proposed a...

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“…Available communication capacity for two SMV publishers in a high-availability seamless redundancy (HSR) network [13] is:…”

Section: The Timing Analysis Of Sampled Values Streamsmentioning

confidence: 99%

mentioning

confidence: 99%

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Analysis of IEC 61850-9-2LE Measured Values Using a Neural Network

et al. 2019

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“…In [18] and [19], data gathered by several IEDs were used to improve the network fault location with the presence of DGs. In other cases, IEDs were provided with directional protection functionality where the adaptive protection settings were established by a control centre which communicated to the IEDs their setting parameters [20].…”

Section: Introductionmentioning

confidence: 99%

Smart Sensors for Smart Grid Reliability

Alonso

Amarís

Alcala

et al. 2020

Sensors

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Sensors for monitoring electrical parameters over an entire electricity network infrastructure play a fundamental role in protecting smart grids and improving the network’s energy efficiency. When a short circuit takes place in a smart grid it has to be sensed as soon as possible to reduce its fault duration along the network and to reduce damage to the electricity infrastructure as well as personal injuries. Existing protection devices, which are used to sense the fault, range from classic analog electro-mechanics relays to modern intelligent electronic devices (IEDs). However, both types of devices have fixed adjustment settings (offline stage) and do not provide any coordination among them under real-time operation. In this paper, a new smart sensor is developed that offers the capability to update its adjustment settings during real-time operation, in coordination with the rest of the smart sensors spread over the network. The proposed sensor and the coordinated protection scheme were tested in a standard smart grid (IEEE 34-bus test system) under different short circuit scenarios and renewable energy penetration. Results suggest that the short-circuit fault sensed by the smart sensor is improved up to 80% and up to 64% compared with analog electromechanics relays and IEDs, respectively.

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“…The first version focused only on communication networks and systems in substations. However, the second edition was expanded to cover communication networks and systems for power utility [1]. The standard mandates integration of all protection, control, measurement, and monitoring functions of a power system network at both the process and station levels.…”

Section: Introductionmentioning

confidence: 99%

IEC 61850-Based Centralized Busbar Differential Protection with Data Desynchronization Compensation

et al. 2020

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This paper proposes an IEC 61850-based centralized busbar differential protection scheme, in which data desynchronization between intelligent electronic devices (IEDs) leads to differential current errors. As the differential current errors could result in erroneous operation of the centralized busbar differential protection, data desynchronization should be compensated for. The main causes of data desynchronization are subdivided into measurement timing and time synchronization errors. In this paper, the first-order Lagrange interpolation polynomial is used to compensate for measurement timing errors and the voltage angle differences between IEDs are used to compensate for time synchronization errors. The centralized busbar differential protection is tested using a real-time digital simulator and IEC 61850-based IEDs, which are implemented with the MMS-EASE Lite library and Smart Grid Infrastructure Evaluation Module. The test results show that the data desynchronization compensation can significantly reduce differential current errors, and thus prevent erroneous operation of the IEC 61850-based centralized busbar differential protection.

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Using IEC 61850 GOOSE Service for Adaptive ANSI 67/67N Protection in Ring Main Systems with Distributed Energy Resources

Cited by 21 publications

References 18 publications

Analysis of IEC 61850-9-2LE Measured Values Using a Neural Network

Analysis of IEC 61850-9-2LE Measured Values Using a Neural Network

Smart Sensors for Smart Grid Reliability

IEC 61850-Based Centralized Busbar Differential Protection with Data Desynchronization Compensation

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