Design of a DSO‐TSO balancing market coordination scheme for decentralised energy

Edmunds, Calum; Galloway, Stuart; Elders, Ian; Bukhsh, Waqquas; Telford, Rory

doi:10.1049/iet-gtd.2019.0865

Cited by 32 publications

(16 citation statements)

References 22 publications

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“…In Givisiez, et al (2020), relevant techniques for different TSO-DSO coordination schemes are reviewed and investigated. Edmunds et al (2020) have proposed a novel market-based TSO-DSO coordination scheme compatible with existing TSO balancing market operation, where the DSO is given priority in using DERs to manage distribution network constraints. However, it is important to note that there is still significant flexibility for the TSO even during periods of peak demand and maximum export.…”

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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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: 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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“…In general, there are certain technologies that may not be possible for network operators to manage storage, distributed production, etc. However, the Hungarian Energy and Public Utility Regulatory Authority had granted a possibility for distribution system operators (DSO) to install, operate, and control the electric energy storage systems to optimize power distribution using the least cost principle for PV based power networks 23 . For a better operation of the distribution system, information exchange is essential between the DSO and the customers.…”

Section: Energy Storage Technologies In Smart Distribution Networkmentioning

confidence: 99%

Operational planning steps in smart electric power delivery system

Jayachandran

Reddy

Padmanaban³

et al. 2021

Sci Rep

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This paper presents a comprehensive review of advanced technologies with various control approaches in terms of their respective merits and outcomes for power grids. Distributed energy storage control is classified into automatic voltage regulator and load frequency control according to corresponding functionalities. These control strategies maintain a power balance between generation and demand. Besides, three basic electric vehicle charging technologies can be distinguished, i.e. stationary, quasi-dynamic and dynamic control. For realizing charge-sustaining operation at minimum cost quasi-dynamic and dynamic strategies are adopted for in-route charging, while stationary control can only be utilized when the electric vehicle is in stationary mode. Moreover, power system frequency stability and stabilization techniques in non-synchronous generator systems are reviewed in the paper. Specifically, a synchronverter can damp power system oscillations and ensure stability by providing virtual inertia. Furthermore, it is crucial to manage the massive information and ensure its security in the smart grid. Therefore, several attack detection and mitigation schemes against cyber-attacks are further presented to achieve reliable, resilient, and stable operation of the cyber-physical power system. Thus, bidirectional electrical power flows with two-way digital control and communication capabilities have poised the energy producers and utilities to restructure the conventional power system into a robust smart distribution grid. These new functionalities and applications provide a pathway for clean energy technology. Finally, future research trends on smart grids such as IoT-based communication infrastructure, distributed demand-response with artificial intelligence and machine learning solutions, and synchrophasor-based wide-area monitoring protection and control (WAMPC) are examined in the present study.

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“…Mezghani et al (2018) compare the efficiency of the centralized and decentralized coordination schemes based on a generalized Nash equilibrium approach. Edmunds et al (2020) also propose a market-based coordination scheme that allows both the ISO and the DSO to access the flexibility provided by DERs, while giving priority to the DSO in using DERs for local operations. Last, Rahimi and Albuyeh (2016) discuss the similarities and differences between the wholesale market systems and the retail transactive energy systems, and identify tools and methods developed for wholesale market systems that can be applied to distribution systems.…”

Section: Iso-dso Coordination Mechanisms and Conceptsmentioning

confidence: 99%

Research Priorities and Opportunities in United States Wholesale Electricity Markets

Sun

Levin

Kwon

et al. 2021

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The power system is currently undergoing a number of changes, including a rapidly evolving resource mix, growth of distributed energy resources (DERs), more active consumer participation, increased deployment of energy storage and hybrid resources, and more advanced communication and control requirements. These changes in the power system present numerous technical, economic, implementation, and policy challenges and research opportunities for power system operators. To help address these challenges, a collaboration among five research institutions-Argonne National Laboratory,

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Design of a DSO‐TSO balancing market coordination scheme for decentralised energy

Cited by 32 publications

References 22 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

Operational planning steps in smart electric power delivery system

Research Priorities and Opportunities in United States Wholesale Electricity Markets

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