{
  "annotation_id": "d9bfd616-80dd-4930-acc9-5e7e7e88c92c",
  "date_created": "2026-02-17T05:53:11.279000Z",
  "date_modified": "2026-02-17T05:53:11.279000Z",
  "file_hash": "6846cf702c4d3cdeb6f0ed02c835b5a346c6b7218eb966bc9d038eaa47f0f3eb",
  "private": false,
  "record": {
    "abstract": "This paper presents preliminary results toward a conceptual foundation for Next Generation Grid Codes (NGGCs) based on decentralized stability and performance certification for dynamic ancillary services. The proposed NGGC framework targets two core outcomes: (i) guaranteed closed-loop stability and (ii) explicit performance assurances for power-system frequency and voltage dynamics. Stability is addressed using loop-shifting and passivity-based methods that yield local frequency-domain certificates for individual devices, enabling fully decentralized verification of the interconnected system. Performance is characterized by deriving quantitative bounds on key time-domain metrics (e.g., nadirs, rate-of-change-of-frequency (RoCoF), steady-state deviations, and oscillation damping) through frequency-domain constraints on local device behavior. The framework is non-parametric and model-agnostic, accommodating a broad class of device dynamics under mild assumptions, and provides an initial unified approach to stability and performance certification without explicit device-model parameterization. As such, these results offer a principled starting point for the development of future grid codes and control design methodologies in modern power systems.",
    "arxiv_id": "2601.07090",
    "authors": [
      "Verena H\u00e4berle",
      "Kehao Zhuang",
      "Xiuqiang He",
      "Linbin Huang",
      "Florian D\u00f6rfler"
    ],
    "categories": [
      "eess.SY",
      "cs.SY"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "Next-Generation Grid Codes: Toward a New Paradigm for Dynamic Ancillary Services",
    "url": "https://arxiv.org/abs/2601.07090",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "cf1e83eb-7a63-4c4f-9f94-4e143fd8fce6",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}