Integrated Hybrid-Simulation of Electric Power and Communications Systems

Nutaro, James; Kuruganti, Phani Teja; Miller, Laurie E.; Mullen, Sara; Shankar, Mallikarjun

doi:10.1109/pes.2007.386202

Cited by 93 publications

(45 citation statements)

References 6 publications

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“…The adevs [28] is an integrated power and network simulator that complies with the principles of hybrid modeling and simulation based on Discrete Event System Specification (DEVS) formalism. The simulator integrates (a) discrete event models for the communication subsystem; (b) continuous models of power subsystem dynamics and (c) discrete models for control.…”

Section: Non-distributed Approachesmentioning

confidence: 99%

Novel Simulation Approaches for Smart Grids

Tsampasis

Sarakis²,

Leligou³

et al. 2016

JSAN

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Abstract:The complexity of the power grid, in conjunction with the ever increasing demand for electricity, creates the need for efficient analysis and control of the power system. The evolution of the legacy system towards the new smart grid intensifies this need due to the large number of sensors and actuators that must be monitored and controlled, the new types of distributed energy sources that need to be integrated and the new types of loads that must be supported. At the same time, integration of human-activity awareness into the smart grid is emerging and this will allow the system to monitor, share and manage information and actions on the business, as well as the real world. In this context, modeling and simulation is an invaluable tool for system behavior analysis, energy consumption estimation and future state prediction. In this paper, we review current smart grid simulators and approaches for building and user behavior modeling, and present a federated smart grid simulation framework, in which building, control and user behavior modeling and simulation are decoupled from power or network simulators and implemented as discrete components. This framework enables evaluation of the interactions between the communication infrastructure and the power system taking into account the human activities, which are at the focus of emerging energy-related applications that aim to shape user behavior. Validation of the key functionality of the proposed framework is also presented.

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Section: Non-distributed Approachesmentioning

confidence: 99%

Novel Simulation Approaches for Smart Grids

Tsampasis

Sarakis²,

Leligou³

et al. 2016

JSAN

View full text Add to dashboard Cite

show abstract

“…are represented by discrete-events using state-detection mechanisms such as zero crossings [17]. Discrete events from both simulators are implemented by the global scheduler of NS2, as was done in the previous approach.…”

Section: Background and Related Workmentioning

confidence: 99%

Using GENI for experimental evaluation of Software Defined Networking in smart grids

et al. 2014

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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 the reliability of the grid. Furthermore, dynamic pricing and demand management provide customers an avenue to interact with the power system to determine the electricity usage that best satisfies their lifestyle. At the transmission level, efficient communication and a highly automated architecture provide visibility in the power system and as a result, faults are mitigated faster than they can propagate. However, such higher levels of reliability and efficiency rest on the supporting communication infrastructure. To date, utility companies are moving towards Multiprotocol Label Switching (MPLS) because it supports traffic engineering and virtual private networks (VPNs). Furthermore, it provides Quality of Service (QoS) guarantees and fail-over mechanisms in addition to meeting the requirement of non-routability as stipulated by NERC. However, these benefits come at a cost for the infrastructure that supports the full MPLS specification. With this realization and given a two week implementation and deployment window in GENI, we explore the modularity and flexibility provided by the low cost OpenFlow Software Defined Networking (SDN) solution. In particular, we use OpenFlow to provide 1.) automatic fail-over mechanisms, 2.) a load balancing, and 3.) Quality of Service guarantees: all essential mechanisms for smart grid networks.

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“…The use of Open Source Software based hybrid-simulators, as outlined in [14], may counter these limitations by using numerical methods that combine discrete and continuous system simulation, and the provision of interfaces to the simulator's run-time execution engine for time management and data injection. However, this work is still in its early stages [13], [14].…”

Section: B Approaches For Developing Pmu-based Applicationsmentioning

confidence: 99%

“…The slow rate of development of these applications is strongly related to, among other factors, the application development approach used. There are different approaches for developing PMU data-based applications, these include: (i) the use of archived data [10], (ii) coupling of proprietary off-line power system simulation software with communication networks and software-intensive systems simulators [11]- [14], and to be discussed in this paper, a relatively less explored approach (iii) the use of realtime hardware-in-the-loop simulators interfaced with physical devices and ad hoc prototype WAMPAC systems [15]- [17].…”

mentioning

confidence: 99%

SmarTS Lab — A laboratory for developing applications for WAMPAC Systems

Vanfretti

Chenine

Almas

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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Abstract-At the core of the development of "Smart Transmission Grids" is the design, implementation, and testing of synchronized phasor measurement data applications that can supplement Wide-Area Monitoring, Protection, and Control Systems (WAMPAC). Nevertheless, the development of new PMU data-based WAMPAC applications has been relatively slow. The great potential of WAMPAC systems is being limited by this, and efforts are needed so that new applications can be developed. The slow rate of development of these applications is strongly related to, among other factors, the application development approach used. This article starts by discussing the needs and approaches for developing WAMPAC applications that exploit synchronized phasor measurements, and illustrates how one of these approaches has been achieved. A preliminary work carried out to develop and implement a Smart Transmission System Laboratory (SmarTS Lab), a hardware and softwarebased system for developing and analyzing "Smart Transmission Grids" paradigms and applications for WAMPAC systems, are described. The laboratory's conceptual architecture and hardware and software implementation are presented, and some of its components are described. Finally, the article illustrates proofof-concept examples of how PMU data-based applications can be developed.

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Integrated Hybrid-Simulation of Electric Power and Communications Systems

Cited by 93 publications

References 6 publications

Novel Simulation Approaches for Smart Grids

Novel Simulation Approaches for Smart Grids

Using GENI for experimental evaluation of Software Defined Networking in smart grids

SmarTS Lab — A laboratory for developing applications for WAMPAC Systems

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Integrated Hybrid-Simulation of Electric Power and Communications Systems

Cited by 93 publications

References 6 publications

Novel Simulation Approaches for Smart Grids

Novel Simulation Approaches for Smart Grids

Using GENI for experimental evaluation of Software Defined Networking in smart grids

SmarTS Lab &#x2014; A laboratory for developing applications for WAMPAC Systems

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SmarTS Lab — A laboratory for developing applications for WAMPAC Systems