Abstract
Smart grid (SG) will be one of the major application domains that will present severe pressures on future communication networks due to the expected huge number of devices that will be connected to it and that will impose stringent quality transmission requirements. To address this challenge, there is a need for a joint management of both monitoring and communication systems, so as to achieve a flexible and adaptive management of the SG services. This is the issue addressed in this paper, which provides the following major contributions. We define a new strategy to optimize the accuracy of the state estimation (SE) of the electric grid based on available network bandwidth resources and the sensing intelligent electronic devices (IEDs) installed in the field. In particular, we focus on phasor measurement units (PMUs) as measurement devices. We propose the use of the software defined networks (SDN) technologies to manage the available network bandwidth, which is then assigned by the controller to the forwarding devices to allow for the flowing of the data streams generated by the PMUs, by considering an optimization routine to maximize the accuracy of the resulting SE. Additionally, the use of SDN allows for adding and removing PMUs from the monitoring architecture without any manual intervention. We also provide the details of our implementation of the SDN solution, which is used to make simulations with an IEEE 14-bus test network in order to show performance in terms of bandwidth management and estimation accuracy.
Highlights
Machine-to-Machine (M2M) services and Internet of Things (IoT) applications are expected to be extensively deployed in the near future, which will pose a severe stress on current communication networks and will oblige the operators to rethink and adapt the current network management procedures to satisfy the requirements of the new applications and the expectations of the new customers [1]
The considered system has been implemented using Mininet [29], a network emulator which creates a network of virtual hosts, switches, controllers, and links hosted in a standard Linux OS
The goal has been to implement a strategy leveraging on the capabilities of Software Defined Networks, to optimize the accuracy of the state estimation based on the available bandwidth resources and on the knowledge of the uncertainty of the measurement devices
Summary
Machine-to-Machine (M2M) services and Internet of Things (IoT) applications are expected to be extensively deployed in the near future, which will pose a severe stress on current communication networks and will oblige the operators to rethink and adapt the current network management procedures to satisfy the requirements of the new applications and the expectations of the new customers [1]. QoS or resorting to the approach of resource overprovisioning [6] To address these challenges, major technological changes are being studied and addressed in standardization fora. How to use these technologies in this domain has been studied only in a few works until now Based on these considerations, in this paper, we explore the use of SDNs in the context of advanced monitoring solutions for transmission and distribution power systems. A future-proof system that automatically adapts to changes either in the available network bandwidth or in the number of IEDs available; the definition of a strategy to optimize the accuracy of the SE of the electric grid based on available bandwidth resources and IEDs installed in the field;.
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