Indian Electricity Market Bidding Data for Transmission Expansion Analysis

Confidential bidding data from India's power market was used by Nicholas Ryan of Yale University to estimate supply costs and simulate market outcomes. Counterfactual simulations show transmission expansion increases market surplus by 22 percent, with one-third of the gain attributed to sellers' responses. The dataset underpins research on the competitive effects of transmission infrastructure.

Use Cases

• Simulating market outcomes with increased transmission capacity based on confidential bidding data.
• Analyzing the relationship between transmission congestion and market competitiveness measures.
• Estimating the costs of power supply using confidential firm-level bid data.
• Evaluating the economic surplus gains from grid integration projects.

Strengths

• Based on confidential, firm-level bidding data from a real-world electricity market.
• Enables counterfactual simulations that quantified a 22 percent market surplus increase from transmission expansion.
• Research authored by an academic from Yale University, suggesting methodological rigor.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and temporal bias inherent to the specific Indian market study.

Provenance

Source

Nicholas Ryan, Yale University

Collection Method

Confidential bidding data from the Indian electricity market.

Geography

India