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arxiv: 2604.19933 · v1 · submitted 2026-04-21 · 📡 eess.SY · cs.SY

Cross-Atlantic Research Agenda for Scalable Grid Architectures and Distributed Flexibility

Mads R. Almassalkhi , Dakota Hamilton , Hasan Giray Oral , Yury Dvorkin , Dennice Gayme , Bri-Mathias Hodge , Brian Vad Mathiesen , Jakob Stoustrup
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Tobias Ritschel Rune G. Junker Shahab Tohidi Razgar Ebrahimy Henrik Madsen
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Pith reviewed 2026-05-10 01:15 UTC · model grok-4.3

classification 📡 eess.SY cs.SY
keywords flexibilityenergydistributedscalablesystemscyber-physicalgridinteroperability
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The pith

A laminar cyber-physical design with standardized interfaces can translate device-level flexibility into reliable grid services across scales, as illustrated by U.S. and Danish pilots and operational deployments.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Power grids now include many small devices like solar panels, batteries, and smart appliances that can change their power use or output to help balance the system. The paper argues that coordinating these devices at large scale is mainly an architecture problem, not a control problem. It describes a layered setup where devices keep some independence but connect to higher-level goals through simple, standard rules called Flexibility Functions. Examples from New York proceedings and Danish pilots show this approach working in practice without breaking device performance or grid rules.

Core claim

scalable and reliable coordination of distributed energy resource-based flexibility in future power systems is fundamentally an architectural problem that can be addressed through laminar cyber-physical design using minimal, standardized interoperability interfaces that link device autonomy with system-level objectives

Load-bearing premise

That evidence from specific pilots and proceedings (New York Grid of the Future, Danish Smart Energy pilots, aggregator deployments) will generalize to predictable, grid-aware flexibility at high DER penetration across varied regulatory and market contexts without additional quantitative validation.

Figures

Figures reproduced from arXiv: 2604.19933 by Brian Vad Mathiesen, Bri-Mathias Hodge, Dakota Hamilton, Dennice Gayme, Hasan Giray Oral, Henrik Madsen, Jakob Stoustrup, Mads R. Almassalkhi, Razgar Ebrahimy, Rune G. Junker, Shahab Tohidi, Tobias Ritschel, Yury Dvorkin.

Figure 1
Figure 1. Figure 1: A graphical overview of the paper’s themes. 1. Introduction: Motivation and Scope Efforts to mitigate and adapt to climate change, the increasing cost-competitiveness of low-emissions generation, electrification of transportation, heating, and cool￾ing, and the need to reduce reliance on hostile or unreliable energy imports have strained electricity supply. At the same time, economy-wide artificial in￾tell… view at source ↗
Figure 1
Figure 1. Figure 1: In the rest of the paper, we provide an overview of grid fundamentals in Sec￾tion 2 to define the physical infrastructure that serves as context for subsequent sections. Section 3 introduces flexibility as a system resource and outlines the relevant temporal and spatial scales. Section 4 reviews current grid and market architectures in the United States and in Europe, with a particular focus on Denmark. Se… view at source ↗
Figure 2
Figure 2. Figure 2: Components of the grid are coupled in a complex cyber-physical system that coor [PITH_FULL_IMAGE:figures/full_fig_p008_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Flexibility Function (FF). The FF links control signals (e.g., prices) to the demand [PITH_FULL_IMAGE:figures/full_fig_p013_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Hierarchical control for utilizing demand-side flexibility (DSF). [PITH_FULL_IMAGE:figures/full_fig_p015_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Overview of control and market interactions across different time and spatial scales [PITH_FULL_IMAGE:figures/full_fig_p016_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Grid-aware coordination requires clearly defined roles and data pathways. DER [PITH_FULL_IMAGE:figures/full_fig_p018_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Schematic of the Smart Energy Operating System (SE-OS), showing hierarchical [PITH_FULL_IMAGE:figures/full_fig_p031_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Grids of the future will require systematic design for interfacing organizations, their [PITH_FULL_IMAGE:figures/full_fig_p034_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Physical and cyber-physical components of the summer house pilot demonstrating [PITH_FULL_IMAGE:figures/full_fig_p035_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Cellular-connected SN-10 gateway used for local sensing and actuation. [PITH_FULL_IMAGE:figures/full_fig_p036_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Forecasting and price-based control for an individual house (A3074), using DK1 [PITH_FULL_IMAGE:figures/full_fig_p037_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Smart Energy OS setup for a specialized aggregator using the Flexibility Function [PITH_FULL_IMAGE:figures/full_fig_p038_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: Spot price, baseline load, and optimized purchased energy under the Smart Energy [PITH_FULL_IMAGE:figures/full_fig_p039_13.png] view at source ↗
Figure 14
Figure 14. Figure 14: Price signal broadcast to end-users for coordinated activation of flexibility. [PITH_FULL_IMAGE:figures/full_fig_p040_14.png] view at source ↗
read the original abstract

Electric power systems are rapidly evolving into deeply digital, cyber-physical infrastructures in which large fleets of distributed energy resources must be coordinated as system-level flexibility across multiple spatial and temporal scales. Despite growing distributed energy resource deployment, existing grid and market architectures lack scalable, interoperable mechanisms to reliably translate device-level flexibility into grid-aware services, creating risks to reliability, affordability, and resilience at high penetration. We propose that scalable and reliable coordination of distributed energy resource-based flexibility in future power systems is fundamentally an architectural problem that can be addressed through laminar cyber-physical design using minimal, standardized interoperability interfaces that link device autonomy with system-level objectives. To assess this claim, we present and discuss a layered cyber-physical systems architecture and explicate its implementation through standards-based interfaces, Flexibility Functions, hierarchical control, and case studies spanning U.S. and Danish regulatory, market, and operational contexts. Empirical evidence from New York's Grid of the Future proceedings, Danish Smart Energy Operating System pilots, and operational aggregator deployments demonstrates that such architecture enables predictable, grid-aware flexibility while preserving device autonomy, interoperability, reliability, and quality of service. These results support a cross-Atlantic research agenda centered on joint testbeds, harmonized interoperability mechanisms, and coordinated policy experiments to accelerate the deployment of resilient, scalable, and flexible clean energy systems.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript claims that scalable coordination of distributed energy resource (DER) flexibility is fundamentally an architectural problem best solved by a laminar cyber-physical systems design that employs minimal, standardized interoperability interfaces to connect device-level autonomy with system objectives. It presents a layered architecture implemented via standards-based interfaces, Flexibility Functions, and hierarchical control, then supports the claim through case studies of New York Grid of the Future proceedings, Danish Smart Energy Operating System pilots, and aggregator deployments. The paper concludes by outlining a cross-Atlantic research agenda focused on joint testbeds, harmonized interoperability, and policy experiments.

Significance. If the proposed architecture can be shown to deliver predictable flexibility at high DER penetration while preserving autonomy and interoperability, the work would offer a concrete design template for future grid and market systems. The cross-Atlantic synthesis of U.S. and Danish experiences is a strength, as is the emphasis on minimal interfaces rather than prescriptive central control. However, the current evidence base remains qualitative and pilot-specific, limiting immediate impact on standards or deployment decisions.

major comments (2)
  1. [Case studies / empirical evidence discussion] The empirical support section (case studies of New York Grid of the Future, Danish Smart Energy pilots, and aggregator deployments) asserts that the architecture 'enables predictable, grid-aware flexibility' but supplies no quantitative metrics—such as achieved DER penetration thresholds, flexibility dispatch accuracy, response latency distributions, or observed failure rates under increasing scale. Without these, the generalization from the cited pilots to 'high penetration levels across varied regulatory contexts' remains suggestive rather than demonstrated.
  2. [Abstract and layered architecture description] The abstract and architecture presentation claim the design is 'parameter-free' in its core interoperability layer, yet the description of Flexibility Functions and hierarchical control does not specify how system-level objectives are encoded without introducing tunable parameters or market-specific rules; this undercuts the assertion that the interfaces alone suffice for reliable coordination.
minor comments (2)
  1. [Abstract] The abstract is a single dense paragraph; splitting the proposal, evidence summary, and research agenda into separate sentences would improve readability.
  2. [Introduction / architecture section] Several terms (laminar design, Flexibility Functions, grid-aware services) are introduced without a concise definition or reference to prior standards work on first use.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive and detailed feedback, which has prompted us to clarify key claims and acknowledge limitations in the manuscript. We have revised the text to address both major comments while preserving the core architectural argument.

read point-by-point responses

  1. Referee: [Case studies / empirical evidence discussion] The empirical support section (case studies of New York Grid of the Future, Danish Smart Energy pilots, and aggregator deployments) asserts that the architecture 'enables predictable, grid-aware flexibility' but supplies no quantitative metrics—such as achieved DER penetration thresholds, flexibility dispatch accuracy, response latency distributions, or observed failure rates under increasing scale. Without these, the generalization from the cited pilots to 'high penetration levels across varied regulatory contexts' remains suggestive rather than demonstrated.

    Authors: We agree that the case studies are qualitative in nature and do not include the specific quantitative metrics referenced. The cited proceedings and pilot reports emphasize architectural outcomes and operational feasibility rather than detailed performance statistics such as latency distributions or failure rates. In the revised manuscript, we have updated the empirical evidence section to explicitly describe the evidence as illustrative and to qualify the generalization claims accordingly. We have also strengthened the cross-Atlantic research agenda to emphasize the need for future joint testbeds that can produce such quantitative data. revision: yes

  2. Referee: [Abstract and layered architecture description] The abstract and architecture presentation claim the design is 'parameter-free' in its core interoperability layer, yet the description of Flexibility Functions and hierarchical control does not specify how system-level objectives are encoded without introducing tunable parameters or market-specific rules; this undercuts the assertion that the interfaces alone suffice for reliable coordination.

    Authors: The term 'parameter-free' is intended to apply only to the minimal, standardized interoperability interfaces at the core layer. We accept that the referee's point is valid regarding the higher layers: Flexibility Functions and hierarchical control do incorporate mechanisms for encoding system objectives, which can involve tunable parameters or market-specific rules. We have revised the abstract and the architecture description to make this distinction explicit, clarifying that the interfaces enable basic coordination without parameters while objective encoding is handled at the control layers. This revision preserves the claim that standardized interfaces are sufficient for reliable interoperability while accurately describing the full design. revision: yes

Circularity Check

0 steps flagged

No circularity: proposal synthesizes external pilot evidence without self-referential reduction

full rationale

The manuscript advances an architectural recommendation for laminar cyber-physical design and minimal interoperability interfaces to coordinate DER flexibility. Its central claim rests on empirical demonstrations drawn from New York Grid of the Future proceedings, Danish Smart Energy pilots, and aggregator deployments. No equations, fitted parameters, or derivations appear in the provided text; the argument does not reduce any result to a self-definition, a renamed fit, or a load-bearing self-citation chain. The cited case studies are treated as independent external evidence rather than internal constructions, leaving the derivation self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The claim rests on domain assumptions about DER flexibility being aggregatable via interfaces and on the sufficiency of laminar design to preserve autonomy and reliability; no free parameters or invented entities are introduced.

axioms (1)
  • domain assumption Distributed energy resources can provide flexibility that translates into grid-aware services when linked through minimal standardized interfaces
    Invoked in the proposal that architectural design solves coordination at scale.

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discussion (0)

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