ICT Architecture Impact on Wide Area Monitoring and Control Systems' Reliability

Zhu, Kaigui; Chenine, Moustafa; Nordström, Lars

doi:10.1109/tpwrd.2011.2160879

Cited by 106 publications

(43 citation statements)

References 13 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%

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%

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

et al. 2018

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“…However, the traditional control process often ignores the influence of coupling cyber-physical features on the control effect, which cannot guarantee expected control goals. Instead, the co-simulation platform can be utilized to verify the impact and feedback of various networking attributes on the control algorithm [20]. A typical case is POWERNET, which was developed with Modelica and NS2 by a research team at the Case Western Reserve University [21].…”

Section: Network Controlmentioning

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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“…Those approaches greatly improve the synchrophasor measurement accuracy under both steady-state and dynamic conditions. Second, for the data latency, the previous researches primarily focus on three aspects 1) modeling the communication delay in theoretical and statistical perspectives, such as constant modeling, stochastic modeling, and bounded modeling [8,15], 2) developing special protection schemes and control strategies with the consideration of latencies [15][16][17][18][19], and 3) optimizing the communication infrastructure, like communication architecture, medium, and protocols, and restricting the communication delay to an acceptable range [20][21][22][23][24][25]. Those design and approaches have been selectively used in wide-area protection & control and other advanced applications.…”

Section: Introductionmentioning

confidence: 99%

“…Further, for the data incompleteness and missing, numerous researches work on reducing the risk of data loss, such as the ones enhancing communication performance in terms of communication architecture, bandwidth, and redundancy [21][22][23][24][25][26][27]. In addition, some researches deal with the data loss issue in a positive way.…”

Section: Introductionmentioning

confidence: 99%

Data quality issues for synchrophasor applications Part II: problem formulation and potential solutions

Huang

Zhan

et al. 2016

J. Mod. Power Syst. Clean Energy

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This work investigates the data quality issue for synchrophasor applications, and pays particular attention to synchronization signal loss and synchrophasor data loss events. First, the historical synchronization signal loss events are analyzed and the potential reasons and solutions are discussed. Then, the scenario of a small amount of synchrophasor data loss is studied and a Lagrange interpolating polynomial method is used to adaptively estimate the incomplete and missing data. The performance of proposed method is demonstrated with simulation results. Specifically, the proposed method considers the trade-off between the estimation accuracy and the hardware cost, and could be efficiently employed in reality.

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ICT Architecture Impact on Wide Area Monitoring and Control Systems' Reliability

Cited by 106 publications

References 13 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

Data quality issues for synchrophasor applications Part II: problem formulation and potential solutions

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