Doctor of Philosophy / Department of Electrical and Computer Engineering / Don Gruenbacher / Caterina Scoglio / Cyber physical systems emerge when physical systems are integrated with communication
networks. In particular, communication networks facilitate dissemination of data among components
of physical systems to meet key requirements, such as efficiency and reliability, in achieving
an objective. In this dissertation, we consider one of the most important cyber physical systems:
the smart grid.
The North American Electric Reliability Corporation (NERC) envisions a smart grid that aggressively
explores advance communication network solutions to facilitate real-time monitoring
and dynamic control of the bulk electric power system. At the distribution level, the smart grid
integrates renewable generation and energy storage mechanisms to improve reliability of the grid.
Furthermore, dynamic pricing and demand management provide customers an avenue to interact
with the power system to determine electricity usage that satisfies their lifestyle. At the transmission
level, efficient communication and a highly automated architecture provide visibility in the
power system; hence, faults are mitigated faster than they can propagate. However, higher levels
of reliability and efficiency rely on the supporting physical communication infrastructure and the
network technologies employed.
Conventionally, the topology of the communication network tends to be identical to that of the
power network. In this dissertation, however, we employ a Demand Response (DR) application to
illustrate that a topology that may be ideal for the power network may not necessarily be ideal for
the communication network. To develop this illustration, we realize that communication network
issues, such as congestion, are addressed by protocols, middle-ware, and software mechanisms.
Additionally, a network whose physical topology is designed to avoid congestion realizes an even
higher level of performance. For this reason, characterizing the communication infrastructure of
smart grids provides mechanisms to improve performance while minimizing cost. Most recently,
algebraic connectivity has been used in the ongoing research effort characterizing the robustness
of networks to failures and attacks. Therefore, we first derive analytical methods for increasing
algebraic connectivity and validate these methods numerically. Secondly, we investigate impact
on the topology and traffic characteristics as algebraic connectivity is increased. Finally, we construct
a DR application to demonstrate how concepts from graph theory can dramatically improve
the performance of a communication network. With a hybrid simulation of both power and communication
network, we illustrate that a topology which may be ideal for the power network may
not necessarily be ideal for the communication network.
To date, utility companies are embracing network technologies such as Multiprotocol Label
Switching (MPLS) because of the available support for legacy devices, traffic engineering, and
virtual private networks (VPNs) which are essential to the functioning of the smart grid. Furthermore,
this particular network technology meets the requirement of non-routability as stipulated
by NERC, but these benefits are costly for the infrastructure that supports the full MPLS specification.
More importantly, with MPLS routing and other switching technologies, innovation is
restricted to the features provided by the equipment. In particular, no practical method exists
for utility consultants or researchers to test new ideas, such as alternatives to IP or MPLS, on a
realistic scale in order to obtain the experience and confidence necessary for real-world deployments.
As a result, novel ideas remain untested. On the contrary, OpenFlow, which has gained
support from network providers such as Microsoft and Google and equipment vendors such as
NEC and Cisco, provides the programmability and flexibility necessary to enable innovation in
next-generation communication architectures for the smart grid. This level of flexibility allows
OpenFlow to provide all features of MPLS and allows OpenFlow devices to co-exist with existing
MPLS devices. Therefore, in this dissertation we explore a low-cost OpenFlow Software Defined
Networking solution and compare its performance to that of MPLS.
In summary, we develop methods for designing robust networks and evaluate software defined
networking for communication and control in cyber physical systems where the smart grid is the
system under consideration.
| Identifer | oai:union.ndltd.org:KSU/oai:krex.k-state.edu:2097/15577 |
| Date | January 1900 |
| Creators | Sydney, Ali |
| Publisher | Kansas State University |
| Source Sets | K-State Research Exchange |
| Language | en_US |
| Detected Language | English |
| Type | Dissertation |
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