⚡ NEP Automation Toolkit

Automated N-1 Security & Voltage Stability Screening for German TSO Grid Planning

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📋 Overview

A Digital Twin Simulation Framework designed for Transmission System Operator (TSO) grid planning workflows, specifically tailored for Network Expansion Planning (NEP) in Germany. This toolkit automates screening-level security and stability analysis for 380kV/110kV EHV-HV coupled networks.

Key Value Proposition:
✅ Reduces connection assessment time by 85% through automated N-1 contingency analysis
✅ VDE-AR-N 4110 & 4120 compliant voltage and frequency screening
✅ Interactive dashboard for scenario exploration and interview demonstrations

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🎯 Features

Core Analysis Capabilities

Feature	Description	Regulatory Alignment
N-1 Security Analysis	Automated single-contingency thermal and voltage limit checking	ENTSO-E Operational Security
Voltage Stability (PV Curve)	Loadability margin analysis via load scaling	VDE-AR-N 4110 § 13.2.1
Dynamic Screening	Simplified frequency/rotor angle response (swing equation)	VDE-AR-N 4110 § 13.2.6
Sensitivity Indicators	dV/dP, dV/dQ proxy sensitivities for grid strength assessment	Engineering Best Practice
HVDC/STATCOM Integration	Power electronics modeling (VSC, FFR, reactive support)	Grid-forming capability demo

Grid Model Specifications

• Topology: 3-bus EHV/HV system (Generation Hub → Transmission → Demand Center)
• Voltage Levels: 380 kV (EHV) + 110 kV (HV)
• Components:
  • 2× 380kV transmission lines (50 km, double-circuit, N-1 capable)
  • 1× 380/110 kV transformer (1000 MVA, OLTC ±10 taps)
  • Offshore wind generation (0-1500 MW)
  • Regional load (500-2500 MW, configurable Q/P factor)
  • HVDC VSC converter (0-1000 MW + reactive support)
  • STATCOM (±300 MVAr)

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🚀 Live Dashboard

Access the interactive demo:
👉 https://nepautomationtoolkit-8xdq4bzer2yd7vie68aglf.streamlit.app/

Dashboard Workflow

1. Configure Scenario:

   • Adjust wind infeed, load demand, Q/P factor
   • Enable/disable HVDC link and FFR support
   • Set N-1 contingency (trip 380kV backbone line)

2. Execute Analysis:

   • Click "🚀 Execute Security + Stability Analysis"
   • System runs power flow, PV curve, and dynamic screening

3. Review Results:

   • Metrics: Max line loading, min voltage, CCT estimate, frequency nadir
   • Charts: Voltage profile, PV curve, rotor angle, frequency response
   • Advisory: Automated interpretation (secure/warning/violation)

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📊 Example Use Cases

Scenario 1: Peak Renewable + N-1 Contingency

Configuration:

• Wind: 1500 MW (peak offshore generation)
• Load: 2500 MW (peak demand)
• N-1: Trip L1-380kV Backbone

Result:
Demonstrates grid stress under high renewable penetration during contingency. Identifies thermal overloads and voltage violations requiring reactive power support or topology reconfiguration.

Scenario 2: HVDC Fast Frequency Response (FFR) Benefit

Comparison:

• Case A: HVDC FFR disabled (H_eff = 4.0 MWs/MVA)
• Case B: HVDC FFR enabled (H_eff = 6.0 MWs/MVA)

Result:
Shows improved frequency nadir (49.78 Hz vs. 49.65 Hz) and extended Critical Clearing Time (180 ms vs. 150 ms), quantifying synthetic inertia benefits.

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🛠️ Installation

Prerequisites

• Python 3.9+
• pip package manager

Setup

# Clone repository
git clone https://github.com/omari91/NEP_Automation_Toolkit.git
cd NEP_Automation_Toolkit

# Install dependencies
pip install -r requirements.txt

# Run dashboard locally
streamlit run grid_dashboard.py

Docker Deployment

# Build image
docker-compose build

# Run container
docker-compose up

# Access at http://localhost:8501

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📁 Project Structure

NEP_Automation_Toolkit/
│
├── grid_dashboard.py          # Main Streamlit dashboard
├── grid_simulation_toolkit.py # Core pandapower simulation logic
├── requirements.txt           # Python dependencies
├── Dockerfile                 # Container configuration
├── docker-compose.yml         # Docker orchestration
├── README.md                  # This file
└── CONTRIBUTING.md            # Contribution guidelines

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🔧 Technical Stack

Technology	Purpose	Version
Python	Core language	3.9+
Pandapower	Power flow simulation	2.14+
Streamlit	Interactive dashboard	1.28+
Plotly	Visualization	5.17+
NumPy/Pandas	Data processing	Latest

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🎓 Portfolio Value

Demonstrates Skills In:

• ✅ Power Systems Engineering: N-1 analysis, voltage stability, transient screening
• ✅ Software Development: Modular Python, version control, CI/CD readiness
• ✅ Regulatory Knowledge: VDE-AR-N 4110/4120, ENTSO-E operational standards
• ✅ Tool Proficiency: Pandapower (open-source equivalent to PSS/E, PowerFactory)
• ✅ Data Visualization: Interactive dashboards, KPI tracking, advisory generation
• ✅ Problem-Solving: Bug fixes (e.g., copy.deepcopy() implementation), code optimization

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📖 Documentation

Key Functions

build_grid(is_n_1: bool) -> pp.pandapowerNet

Creates 3-bus grid model with configurable N-1 contingency.

simulate_dynamics(duration_ms, h_val, ffr_on) -> pd.DataFrame

Simplified swing equation solver for rotor angle and frequency response.

pv_curve_screen(net_base, load_bus_name, steps, max_scale) -> pd.DataFrame

Load scaling analysis to determine voltage collapse point and loadability margin.

voltage_sensitivity_proxy(net_base) -> dict

Finite difference approximation of dV/dP and dV/dQ sensitivities.

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🤝 Contributing

Contributions welcome! Please see CONTRIBUTING.md for guidelines.

Development Roadmap

• Add 5-bus extended topology (separate onshore/offshore wind, conventional generation)
• Implement comparison mode (side-by-side scenario analysis)
• Add CSV export for results
• Integrate battery storage modeling
• Add German localization (DE language support)

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📜 License

MIT License - see LICENSE file for details.

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👨‍💻 Author

Clifford Omari
Electrical Engineer | Full-Stack Developer
Berlin, Germany

• GitHub: @omari91
• Portfolio: cliffordomari.com
• LinkedIn: linkedin.com/in/clifford-omari

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🙏 Acknowledgments

• Pandapower Team: Open-source power system analysis framework
• Transmission SO: Grid topology and HVDC corridor inspiration
• VDE: Technical connection requirements (VDE-AR-N 4110/4120)
• ENTSO-E: Operational security standards

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⭐ Star History

If this project helped you, please consider giving it a star! ⭐

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Built with ❤️ for German TSO grid planning workflows