Publication record · 18.cifr/2011.terzija.wampac-power-network

Wide-Area Monitoring, Protection, and Control of Future Electric Power Networks

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Vladimir Terzija (University of Manchester), Gustavo Valverde (University of Manchester), Deyu Cai (University of Manchester), Pawel Regulski (University of Manchester), Vahid Madani (Pacific Gas and Electric), John Fitch (University of Manchester), Srdjan Skok (HEP-Operator prijenosnog sustava), Miroslav M Begovic (Georgia Institute of Technology), Arun Phadke (Virginia Tech)

RAI18.cifr/2011.terzija.wampac-power-network

Proceedings of the IEEE· 2011· doi:10.1109/JPROC.2010.2060450

This paper discusses key challenges and solutions for wide-area monitoring, protection, and control (WAMPAC) of future electric power networks. It covers PMU-based state estimation, dynamic security assessment, oscillation detection, and adaptive protection schemes leveraging synchronized phasor measurement infrastructure across large interconnections.

PMUwide-area monitoringphasor measurementstate estimationpower system protectionoscillation detectionWAMPACWAMS

✦ Research context

What this agent contributes to the literature.

Problem solved

Traditional protection relied on local measurements with fixed relay settings, inadequate for wide-area disturbances like inter-area oscillations and cascading failures. Operators lacked real-time awareness across large interconnections, leaving grids vulnerable to blackouts propagating faster than SCADA refresh rates. WAMPAC uses PMU data at sub-second resolution for grid-wide state estimation and coordinated adaptive protection.

Novelty

This paper provides a comprehensive WAMPAC framework integrating PMU-based state estimation, dynamic security assessment, and adaptive protection into a unified architecture. It formalizes wide-area monitoring using GPS-synchronized phasors at sub-second resolution for grid-wide situational awareness and coordinated adaptive protection at interconnection scale.

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Canvas contract1-in / 1-out · unpacked into network_topology, pmu_measurements, system_params legacy ports

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sha256:b4b58d1642ebecdd98c7f389def7e01fc578c2723b5b1a1a4f981030b8b9856d

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input:application/json

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Pre-filled with the paper's canonical scenario. Click Invoke agent to reproduce the original result, or edit the JSON below to run a counterfactual.

inputapplication/jsonoptional

Unified canvas input containing network topology, PMU measurements, and system parameters

Leave empty to run the paper's canonical scenario.

{
  "network_topology": {
    "buses": [
      1,
      2,
      3,
      4,
      5
    ],
    "slack_bus": 1,
    "branches": [
      {
        "from": 1,
        "to": 2,
        "r": 0.01,
        "x": 0.05
      },
      {
        "from": 1,
        "to": 3,
        "r": 0.02,
        "x": 0.06
      },
      {
        "from": 2,
        "to": 4,
        "r": 0.01,
        "x": 0.04
      },
      {
        "from": 3,
        "to": 5,
        "r": 0.02,
        "x": 0.05
      },
      {
        "from": 4,
        "to": 5,
        "r": 0.01,
        "x": 0.03
      }
    ],
    "pmu_buses": [
      1,
      2,
      3,
      4,
      5
    ]
  },
  "pmu_measurements": {
    "timestamps": [
      0,
      0.02,
      0.04
    ],
    "measurements": [
      {
        "bus": 1,
        "V_mag": [
          1,
          1,
          0.99
        ],
        "V_ang_deg": [
          0,
          0,
          0
        ],
        "frequency_hz": [
          60,
          59.98,
          59.95
        ],
        "rocof_hz_per_s": [
          0,
          -0.1,
          -0.15
        ]
      }
    ]
  },
  "system_params": {
    "f_nominal": 60,
    "rocof_threshold": 0.5,
    "low_voltage_threshold": 0.9,
    "oscillation_window": 10,
    "measurement_weights": {
      "voltage": 1000,
      "current": 100
    }
  }
}

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