Cosimulation of Intelligent Power Systems: Fundamentals, Software Architecture, Numerics, and Coupling

Pálenský, Peter; Meer, Arjen A. van der; López, Claudio; Joseph, Arun; Pan, Kaikai

doi:10.1109/mie.2016.2639825

Cited by 135 publications

(67 citation statements)

References 37 publications

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“…Based on numerical experimentation and case studies they conclude that the advantages of co-simulation are the flexibility by combining features from different tools; disadvantages were the difficulty of use and the required knowledge. Placing a focus on power systems, but still covering the fundamental concepts, Palensky et al [43] highlighted the value of co-simulation for the analysis of the former. In a tutorial fashion, they go over the main concepts and challenges, providing a great introduction for new researchers in the field.…”

Section: State Of the Artmentioning

confidence: 99%

An empirical survey on co-simulation: Promising standards, challenges and research needs

Schweiger

Gomes

Engel

et al. 2019

Simulation Modelling Practice and Theory

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Co-simulation is a promising approach for the modelling and simulation of complex systems, that makes use of mature simulation tools in the respective domains. It has been applied in wildly different domains, oftentimes without a comprehensive study of the impact to the simulation results. As a consequence, over the recent years, researchers have set out to understand the essential challenges arising from the application of this technique. This paper complements the existing surveys in that the social and empirical aspects were addressed. More than 50 experts participated in a two-stage Delphi study to determine current challenges, research needs and promising standards and tools. Furthermore, an analysis of the strengths, weakness, opportunities and threats of co-simulation utilizing the analytic hierarchy process resulting in a SWOT-AHP analysis is presented. The empirical results of this study show that experts consider the FMI standard to be the most promising standard for continuous time, discrete event and hybrid co-simulation. The results of the SWOT-AHP analysis indicate that factors related to strengths and opportunities predominate. References

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Section: State Of the Artmentioning

confidence: 99%

An empirical survey on co-simulation: Promising standards, challenges and research needs

Schweiger

Gomes

Engel

et al. 2019

Simulation Modelling Practice and Theory

View full text Add to dashboard Cite

show abstract

“…In the context of communication network modeling in the interconnected infrastructure systems, ns2/ns3 [23] and OMNeT++ [24] are widely used due to their open source nature. Although the discipline-specific modeling can provide accurate and efficient results for the phenomenon of interest, its functionality deteriorates when it comes to the interdependent infrastructure systems due to significant simplifications [27].…”

Section: A Prior Workmentioning

confidence: 99%

An Open Source Modeling Framework for Interdependent Energy-Transportation-Communication Infrastructure in Smart and Connected Communities

Hinkelman

et al. 2019

IEEE Access

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Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including the energy, transportation and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among the three systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open source, flexible, integrated modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible modeling of the interconnected energy, transportation, and communication systems. Then, for the framework's proof-of-concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based object-oriented modeling language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5% and the deviation of the power draw from the grid can be 7% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed modeling framework also has the potential to be further extended for various modeling purposes and use cases, such as dynamic modeling and optimization, resilience analysis, and integrated decision making in future connected communities.

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“…A co-simulator is a tool that works on different set of simulators based on the time synchronization and execution coordination provided by a master algorithm. Each simulator is equipped with its own model and a solver that performs desired operations on the model [17]. The simulators are then coupled by dynamically exchanging their input and output variables with each other.…”

Section: A Proposed Co-simulation Approachmentioning

confidence: 99%

A Framework to Analyze Interactions between Transmission and Distribution Systems

Krishnamoorthy

Dubey

2018

2018 IEEE Power &Amp; Energy Society General Meeting (PESGM)

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Analyzing the interactions between transmission and distribution (T&D) system is becoming imperative with the increased penetrations of distributed energy resources (DERs) on electric power distribution networks. An assessment of the impacts of distribution system connected DERs on the transmission system operations is required especially pertaining to system unbalance when modeling both T&D systems. In this paper, a coupled T&D analysis framework is developed through co-simulation approach. The framework utilizes legacy software to separately solve the decoupled T&D models. The T&D interactions are captured by exchanging network solutions at the point of common coupling (PCC). The proposed co-simulation framework adopts an iterative coupling approach resulting in a co-simulation model close to a stand-alone T&D platform. The proposed framework is tested using IEEE-9 bus transmission system model and EPRI's Ckt-24 test distribution feeder model. A case study in which the IEEE 9 bus model interfaced with three ckt24 models is also presented to demonstrate the scalability of the approach. The conditions of convergence by exchanging the boundary variables at the PCC are examined in detail using several case studies with varying levels of load unbalance.

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Cosimulation of Intelligent Power Systems: Fundamentals, Software Architecture, Numerics, and Coupling

Cited by 135 publications

References 37 publications

An empirical survey on co-simulation: Promising standards, challenges and research needs

An empirical survey on co-simulation: Promising standards, challenges and research needs

An Open Source Modeling Framework for Interdependent Energy-Transportation-Communication Infrastructure in Smart and Connected Communities

A Framework to Analyze Interactions between Transmission and Distribution Systems

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