Modelling TSO-DSO coordination: The value of distributed flexible resources to the power system

Grottum, Hanne Hoie; Bjerland, Siri Forsund; Granado, Pedro Crespo del; Egging, Ruud

doi:10.1109/eem.2019.8916377

Cited by 16 publications

(10 citation statements)

References 8 publications

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“…Results of the case studies conducted as demonstrated on a section of Great Britain distribution network using high DER growth scenario data for the year 2030, show that the proposed approach is able to maintain thermal and voltage limits during periods of peak demand and DER output. In Grøttum et al (2019), a multiobjective optimization method TSO-DSO coordination with flexibility supplied by DERs is proposed, where the flexibility is obtained by minimizing the overall cost of power system operations as well as the impact of including the cost across the two levels in the coordinated power system. Results indicate that the conflicting interests of the TSO and the DSOs can be considered using the proposed multiobjective optimization method.…”

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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“…ISOs currently lack control systems that can deal with the shift from tens of generators that were located on the transmission system towards one that has a very large number of small inverter-connected rooftop PV systems generating significant portions of the energy from within the distribution system. This will require improved coordination between the distribution system and transmission system operation [26] and the development of automated control mechanisms [90].…”

Section: Technical Aspectsmentioning

confidence: 99%

“…In the case of rooftop PV, much of this change is being exerted upon the incumbent regime by their traditional customers and is requiring substantial infrastructure augmentation to be financed, designed, built and made operational within time periods ranging from months to years [19]. Rooftop PV generation is also being built in an unplanned manner across the distribution system, rather than through the centrally controlled transmission system [26]. This duality combines to represent a fundamental reconfiguration of the relationship between markets, electricity consumption and production patterns and electricity transportation.…”

Section: Introductionmentioning

confidence: 99%

Rooftop PV and the Renewable Energy Transition; a Review of Driving Forces and Analytical Frameworks

2021

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Rooftop solar photovoltaics (PV) are accelerating the transition towards low carbon electricity systems in many countries, particularly in Australia. This review paper provides an overview of the (1) technical, (2) economic, (3) socio-political, and (4) regulatory and institutional aspects that should be considered concurrently when navigating the transition towards a rooftop PV-dominated electricity system. We consider the suitability of two prominent long-range transitions theories for understanding the importance and interaction of elements within these four aspects during the transition. The multi-level perspective (MLP) of transitions theory is considered best suited for this task as it addresses fundamental shifts in the socio-technical systems, rather than being weighted towards technological and/or economic solutions. We find that relatively little research has been undertaken where the renewable energy transition is being driven by the uptake of rooftop PV within the distribution network of established islanded electricity systems. These islanded electricity systems will be the first to experience system impacts from high levels of rooftop PV. This review provides further analysis of important gaps in understanding the rooftop-PV-led energy transition and the implications for policy makers in maintaining stable electricity supplies during the transition.

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“…The problem ( 24)-( 27) is mixed-integer nonlinear programming (MINLP) problem, which is difficult in view of the combinatorial complexity introduced by binary unit commitment variables within generation capacity (2)-(3) and ramprate constraints (4)- (7), and the non-linearity introduced by AC power flow (10)-(11), voltage restrictions (12)-( 13), transmission capacity constraints (14) and the interface power flow restrictions (27). Moreover, cross-product terms within AC power flows (10)- (11) and voltage restrictions (12) contribute to the non-convexity of the problem.…”

Section: Coordinated Tso-dso Modelmentioning

confidence: 99%

“…also they are expected to provide support for the TSO [11]- [15]. Flexibility benefits benefits enabled by DERs [1], [2], [5]- [7], [11], [16], [17], [21]- [23], which include balancing supply and demand, and voltage control [2], [16], [17], voltage fluctuation and congestion mitigation [21], as well as prosumer behavior of customers [1], can be achieved. The cost-benefits have also been discussed in [18]- [20].…”

mentioning

confidence: 99%

TSO-DSO Operational Planning Coordination through "l1-Proximal" Surrogate Lagrangian Relaxation

Bragin¹,

Dvorkin²

2021

Preprint

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The proliferation of distributed energy resources (DERs), located at the Distribution System Operator (DSO) level, bring new opportunities as well as new challenges to the operations within the grid, specifically, when it comes to the interaction with the Transmission System Operator (TSO). To enable interoperability, while ensuring higher flexibility and cost-efficiency, DSOs and the TSO need to be efficiently coordinated. Difficulties behind creating such TSO-DSO coordination include the combinatorial nature of the operational planning problem involved at the transmission level as well as the nonlinearity of AC power flow within both systems. These considerations significantly increase the complexity even under the deterministic setting. In this paper, a deterministic TSO-DSO operational planning coordination problem is considered and a novel decomposition and coordination approach is developed. Within the new method, the problem is decomposed into TSO and DSO subproblems, which are efficiently coordinated by updating Lagrangian multipliers. The nonlinearities at the TSO level caused by AC power flow constraints are resolved through a dynamic linearization while guaranteeing feasibility through ``l1-proximal'' terms. Numerical results based on the coordination of the 118-bus TSO system with up to 32 DSO 34-bus systems indicate that the method efficiently overcomes the computational difficulties of the problem.<br>

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Modelling TSO-DSO coordination: The value of distributed flexible resources to the power system

Cited by 16 publications

References 8 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

Rooftop PV and the Renewable Energy Transition; a Review of Driving Forces and Analytical Frameworks

TSO-DSO Operational Planning Coordination through "l1-Proximal" Surrogate Lagrangian Relaxation

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