Co-simulation of network infrastructure for substation automation systems

The adoption of IEC 61850 in the deployment of Substation Automation System opens new scenarios to system design. The presence of a communication infrastructure connecting Intelligent Electronic Device (IED), sensors and protections may suggest the development of distribute measurement devices, where the sampling of the physical quantities and the elaboration of the sampled value could be performed by different physical devices. Nevertheless, such architecture is based on an ideal communication infrastructure, which can transfer the information among the distributed devices without affecting the measurement performance. On the contrary a real network infrastructure could suffer from several failure conditions, mainly to the harsh environment of substations where the installed network devices are not periodically replaced. In the following paper, the effects of network faults on a distributed measurement system in electrical substations are considered. The behavior of network infrastructure and the quality of the service offered in the case of the most common network failures has been analyzed using a simulation environment. The results demonstrate that the commonly adopted Rapid Spanning Tree Protocol (RSTP) is not suitable for the most demanding measurement applications due to the loss of measurement samples during the network reconfiguration time (up to 200 ms). On the contrary, more advanced redundancy protocols, like Parallel Redundancy Protocol (PRP), are able to satisfy also the most strict availability requirements, as suggested by the simulation results.

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“…innovative switch) attached to a real (external) networks. A complete description of the simulation system has been provided in [23]. …”

Section: The Simulation Environmentmentioning

confidence: 99%

Advanced networks for distributed measurement in substation automation systems

Ferrari

Flammini

Rinaldi

et al. 2013

2013 IEEE International Workshop on Applied Measurements for Power Systems (AMPS)

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“…Recent work has been reported in the literature [4,5] on identifying and modeling these interdependencies. The implementation of widely used advanced protocols like IEC 61850 has been investigated in [3] and [6]. The detailed simulation of energy systems along with the communication architecture requires hybrid models, i.e., models including both continuous time-based and discrete-event-based simulation aspects.…”

Section: Introductionmentioning

confidence: 99%

Co-simulation of a low-voltage utility grid controlled over IEC 61850 protocol

Sharma

Chiculita

Bésanger

2015

2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

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This paper presents a co-simulation model using MATLAB ® toolboxes to illustrate an interaction between the communication system and the energy grid, coherent with the concept of smart grid that employs IEC 61850 communication standard. The MMS (Manufacturing Message Specification) protocol supported by IEC 61850, based on TCP/IP, is used for the vertical communication between the Supervisory and Data Acquisition (SCADA) system and Intelligent Electronic Devices (IEDs) embedding the local control of different parts of the smart grid. In this paper an IED supporting the power control of a photovoltaic (PV) plant connected to a low-voltage (LV) utility grid is considered. Communication system consisting of the transport layer and a router placed on the network layer is modeled as an event-driven system using SimEvents ® toolbox and energy grid is modeled as a time-driven system using SimPowerSystems ® toolbox. Co-simulation results are obtained by combining different communication scenarios and time-varying irradiance scenarios for the PV plant when this one is required to provide a certain power in response to a power reference received from SCADA over the communication network. The analysis aims at illustrating the impact that stochastic behavior and delays due to network communication have on the global system behavior.

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