Design of Interoperable Communication Architecture for TSO-DSO Data Exchange

Suljanović, Nermin; Souvent, Andrej; Taylor, Gareth; Radi, Mohammed; Cantenot, Jérôme; Lambert, Eric G.; Morais, H.

doi:10.1109/ptc.2019.8810941

Cited by 11 publications

(10 citation statements)

References 6 publications

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“…It is important to note that the proposed use case methodology does not explicitly state how information is modeled or which protocols should be adopted. However, the methodology that was developed in the TDX-ASSIST project has demonstrated novel approaches to information modeling such as common information model (CIM) Radi et al (2019) as well as novel platforms for information and data exchange such as ENTSO-E ECCo SP, transparency platform (TP), and different cloud computing services (Suljanović et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

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Developing Enhanced TSO-DSO Information and Data Exchange Based on a Novel Use Case Methodology

et al. 2021

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The growing penetration of renewable energy sources (RES) in the electrical power sector has increased the amount of distributed generation (DG) units connected at the distribution system level. In this context, new balancing challenges have arisen, creating the need for a novel use case methodology to enable an active role at the distribution system level such that transmission system operators (TSOs) can coordinate with distribution system operators (DSOs) with regard to connected resources for balancing purposes. In this study, the exploitation of the DSO-connected resources for balancing purposes in a market environment is proposed and evaluated via a novel business use case (BUC) methodology based on the categorization of IEC 62913-1. More specifically, in order to address different balancing market situations, two scenarios are considered with regard to the BUC. The first one represents the data exchange between the TSO, the DSO, and the balancing service provider (BSP). The second one represents an alternative scenario where data are exchanged directly between the TSO and the DSO, where the DSO also takes on the role of the BSP. The proposed BUC was also developed in order to validate the required data modeling and exchange mechanisms between DSOs and TSOs in order to exploit DSO-connected resources for overall system balancing purposes across different time scales.

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Section: Discussionmentioning

confidence: 99%

“…In particular, information and data exchange via cloud computing platforms is considered a key research area for future smart grids (Radi et al, 2019;Suljanović et al, 2019;Taylor et al, 2019). In this study, the use of DSO-connected resources for balancing purposes in the market environment is proposed.…”

Section: Introductionmentioning

confidence: 99%

Developing Enhanced TSO-DSO Information and Data Exchange Based on a Novel Use Case Methodology

et al. 2021

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“…This paper contributes to the analysis of the information exchange with a detailed study of coordinated voltage control. In [6], it is proposed to use a model driven methodology to identify how to exchange information between TSO and DSO, with the Smart Grid Architecture Model (SGAM) framework as basis. A common model of business and system roles and a common ontology should be used to identify the information that needs to be exchanged.…”

Section: Introductionmentioning

confidence: 99%

“…In [7], a model based approach with a domain analysis of DSOs is used to derive the requirements on CIM profile and middleware for DSO applications. Both [5] and [6] point out that design principles and solutions developed for the Internet of Things (IoT) are beneficial to apply also for smart grids. For example, an evolution from traditional clientserver models towards a publish-subscribe principle, which is more centered on the information to exchange than the communicating devices, can be advantageous also for smart grid.…”

Section: Introductionmentioning

confidence: 99%

Challenges of TSO-DSO Voltage Regulation Under Real-Time Data Exchange Paradigm

Degefa¹,

Lundkvist²,

sanchez-acevedo³

et al. 2022

Preprint

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<p>As conventional power generation units are being replaced with distributed energy resources, operational practices such as voltage regulation and congestion management are expected to be challenging. To address these challenges, regular and automated inter-control centre operational coordination will be needed between Transmissions and Distributions System Operators (TSO and DSO). In this study, the data exchange required for the near-real-time operational coordination is investigated for a reactive power management use case. A realistic ICCP/TASE 2 protocol is implemented in laboratory environment where the physical network is simulated in a real-time simulator while optimal set-points are communicated from the control centers to simulated assets being communicated through the IEC 60870-5-104. In addition, the sufficiency of the Common Information Model (CIM) and Common Grid Model Exchange Standard (CGMES) is evaluated for TSO-DSO network data exchange. The results from the cyber-physical test setup show that the detailed DSO grid model knowledge by the TSO results in lower system losses. Such data can be difficult to prepare, exchange and compute. However, results show that simplified equivalent models can be acceptable if they are properly tailored to the specific use case. The experiences from the CIM implementation with the CGMES profile are found out to be sufficient for such operational data exchange.</p>

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“…The actions taken by one operator can significantly affect other system operators and is a growing concern. The replacement of traditional generation methods with renewable energy sources at transmission and distribution has reduced the overall system control over generation [5].…”

Section: Introductionmentioning

confidence: 99%

Scalability and Reliability Analysis of a Novel Cloud Platform for TSO-DSO Information and Data Exchange

Amjad

Taylor

Lai

et al. 2022

2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Reliability and performance measurement of the cloud computing platform is significant for future information and data exchange in power systems. This paper presents a novel approach for creating virtual machine clusters based on a service-oriented approach. Cloud computing techniques can be utilized to achieve greater interoperability between Transmission System Operators (TSO) and Distribution System Operators (DSO). One of the key elements of cloud computing systems is virtualization, which allows several virtual machines to be built on a single server. This research leverages cloud computing as the major platform for information and data exchange between TSO and DSO. In this work, we have performed a series of tests on the data exchange platform to test its scalability and reliability. The main objective of the proposed virtual machine clustering is to achieve high scalability and reliability.

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Design of Interoperable Communication Architecture for TSO-DSO Data Exchange

Cited by 11 publications

References 6 publications

Developing Enhanced TSO-DSO Information and Data Exchange Based on a Novel Use Case Methodology

Developing Enhanced TSO-DSO Information and Data Exchange Based on a Novel Use Case Methodology

Challenges of TSO-DSO Voltage Regulation Under Real-Time Data Exchange Paradigm

Scalability and Reliability Analysis of a Novel Cloud Platform for TSO-DSO Information and Data Exchange

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