Special Assessments for Power system analysis
Focusing on geomagnetic disturbance analysis, harmonic modeling, electromagnetic transient studies, and sub-synchronous oscillation analysis for transmission systems.
Research and Development Challenges
Given the unprecedented changes in power systems driven by ascendance of large loads, inverter-based resources, power electronics-based transmission technologies, as well as increased vulnerabilities due to extreme events, transmission planners need to perform studies that are beyond traditional power flow and stability analyses. These studies, broadly referred to as "special studies", require tools, models and methods that are not commonly used by planners, and there is in general a lack of expertise in the industry. However, there is a growing need for performing these studies to ensure system reliability as well as ability to withstand extreme events.
In the years to come, we plan to:
- Provide models, planner guidance (including AI use), and mitigation examples at grid and inverter plant levels; improve equipment models for harmonic studies.
- Issue AI guidelines for EMT modeling, screening tools with defaults, and capabilities for lightning/ switching and transformer inrush analysis; continue advancing EMT study tools.
- Investigate small signal/impedance and eigenvalue-based methods; develop/maintain Impedance scanning tool [ZSCAN] (positive sequence and EMT), Signal Damping Analysis Tool (SDAT) for damping/modal analysis, and an impedance repository for Power electronics-based loads.
Related Deliverables
Modeling Transmission Equipment for Harmonic studies
3002032868
Presents a methodology for developing harmonic models for common transmission equipment.
AI for EMT Modeling
3002034148
Presents ideas and prototyping for an AI-powered assistant designed to streamline the development of EMTP® scripts.
Protection for SSO
3002032995
Describes protection options to reduce the risk or asset damage or system collapse due to SSO.
Pulsating AI Training Impact on Grid
3002034099
Examines the emerging risks associated with subsynchronous torsional interactions (SSTI) between turbine-generator shafts and the variable, high-power loads produced by AI data centers.
Area Leads