GECO: Global Event-Driven Co-Simulation Framework for Interconnected Power System and Communication Network

Lin, Hua; Veda, Santosh; Shukla, Sandeep K.; Mili, Lamine; Thorp, James S.

doi:10.1109/tsg.2012.2191805

Cited by 229 publications

(129 citation statements)

References 34 publications

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“…There have been several attempts to build a cosimulation environment with the focus on power grids and communication networks, for example, [1,[8][9][10]. However, the proposed approaches so far do not account for the market because they focus more on shortterm effects caused by limitations of the communication network.…”

Section: Simulation Of Smart Gridsmentioning

confidence: 99%

“…In recent literature, the most prominent fast dynamic interactions occur in wide area measurement and control applications as well as remote power electronics devices [10]. Compared to slow phenomena, the simulation of fast phenomena requires relatively smaller simulation time steps due to switching events of electronic components and the fact that the market interactions are not considered.…”

Section: Use Cases Of the Cosimulation Environmentmentioning

confidence: 99%

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A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid

et al. 2018

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Smart grids evolve rapidly towards a system that includes components from different domains, which makes interdisciplinary modelling and analysis indispensable. In this paper, we present a cosimulation architecture for smart grids together with a comprehensive data model for the holistic representation of the power system, the communication network, and the energy market. Cosimulation is preferred over a monolithic approach since it allows leveraging the capabilities of existing, well-established domainspecific software. The challenges that arise in a multidomain smart grid cosimulation are identified for typical use cases through a discussion of the recent literature. Based on the identified requirements and use cases, a joint representation of the smart grid ecosystem is facilitated by a comprehensive data model. The proposed data model is then integrated in a software architecture, where the domain-specific simulators for the power grid, the communication network, and the market mechanisms are combined in a cosimulation framework. The details of the software architecture and its implementation are presented. Finally, the implemented framework is used for the cosimulation of a virtual power plant, where battery storages are controlled by a novel peak-shaving algorithm, and the battery storages and the market entity are interfaced through a communication network.

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Section: Simulation Of Smart Gridsmentioning

confidence: 99%

Section: Use Cases Of the Cosimulation Environmentmentioning

confidence: 99%

A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid

et al. 2018

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“…A general electric power and communication synchronizing simulator called EPOCHS, developed by a research team at Cornell University, has been utilized to simulate the agent-based special protection process and verify the impact of network delay on the real-time protection action [18]. The research team at Virginia Tech built a global event-driven simulator called global event-driven co-simulation (GECO) [19]. Wide area backup distance protection scenarios were simulated to prove that the communication delay between the agents satisfied the power protection requirements.…”

Section: Wide-area Security Monitoringmentioning

confidence: 99%

A Hardware-in-the-Loop Based Co-Simulation Platform of Cyber-Physical Power Systems for Wide Area Protection Applications

et al. 2017

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Abstract:With the development of smart grid technology, there has been an increasingly strong tendency towards the integration between the aspects of power and communication. The traditional power system has gradually transformed into the cyber-physical power system (CPPS), where co-simulation technologies can be utilized as an effective measure to describe the computation, communication, and integration processes of a power grid. In this paper, the construction methods and application scenarios of co-simulation platforms in the current research are first summarized. Then, a scheme of the real-time hardware-in-the-loop co-simulation platform is put forward. On the basis of power grid simulation developed with the Real-Time Laboratory (RT-LAB), and the communication network simulation developed with OPNET, the control center was developed with hardware devices to realize real-world control behavior instead of digital simulations. Therefore, the mixed-signal platform is capable of precisely simulating the dynamic features of CPPS with high speed. The distributed simulation components can be coordinated in a unified environment with high interoperability and reusability. Moreover, through a case study of a wide area load control system, the performance of the proposed platform under various conditions of control strategies, communication environments, and sampling frequencies was revealed and compared. As a result, the platform provided an intuitive and accurate way to reconstruct the CPPS environment where the influence of the information side of the CPPS control effects was verified.

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“…A co-simulation framework (called GECO) is proposed in [26,27]. The framework integrates a power system dynamic simulator (PSLF) and a network simulator (ns-2) together using a synchronization mechanism that aims to eliminate accumulating errors due to explicit synchronization points between the different simulators (explicit synchronization was used in the EPOCHS simulator).…”

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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GECO: Global Event-Driven Co-Simulation Framework for Interconnected Power System and Communication Network

Cited by 229 publications

References 34 publications

A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid

A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid

A Hardware-in-the-Loop Based Co-Simulation Platform of Cyber-Physical Power Systems for Wide Area Protection Applications

Novel Simulation Approaches for Smart Grids

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