Optimal TCSC Allocation for Congestion Management in IEEE and Indian Power Networks

A research paper proposes a method for managing transmission line congestion in electricity markets. The method uses line flow sensitivity factors and particle swarm optimization to find the optimal location and parameter setting for a Thyristor Controlled Series Capacitor (TCSC). The proposed method is tested on the IEEE 30-bus system, IEEE 118-bus system, and a 33-bus Indian network.

Use Cases

• Benchmarking congestion management algorithms based on the described IEEE and Indian test systems.
• Training machine learning models for optimal FACTS device placement based on line flow sensitivity factors.
• Simulating the impact of TCSC installation cost on congestion relief strategies.
• Validating particle swarm optimization techniques for power system parameter tuning.

Strengths

• Methodology validated on three established power system models: IEEE 30-bus, IEEE 118-bus, and a 33-bus Indian network.
• Proposes a concrete two-part method involving optimal location and parameter setting for a TCSC device.
• Includes consideration of real-world economic factors like minimum installation cost.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

Paper authored by Md Sarwar from Jamia Millia Islamia, hosted on Papers with Code.

Collection Method

Likely contains simulation results and optimization parameters from the described research methodology.

Geography

Includes a 33-bus Indian network alongside standard IEEE test systems.