Excessive Transmission Congestion Costs from Inadequate Capacity
Definition
Transmission congestion in US RTOs forces reliance on higher-cost generation when low-cost power cannot flow due to grid limits, resulting in elevated real-time energy payments. Costs rose 100% from 2020 to 2021, indicating systemic inefficiency in congestion management. These recurring costs are passed to consumers via higher electricity prices.
Key Findings
- Financial Impact: $ billions annually across US RTOs (e.g., 5% increase 2019-2020, 100% increase 2020-2021)
- Frequency: Daily
- Root Cause: Insufficient transmission capacity and suboptimal pricing mechanisms failing to signal timely grid expansions
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Electric Power Transmission, Control, and Distribution.
Affected Stakeholders
Transmission System Operators (ISOs/RTOS), Grid Planners, Utility Executives
Deep Analysis (Premium)
Financial Impact
$1-10M annually per renewable developer (estimated 2-5% of revenue lost to settlement disputes and inefficient curtailment) β’ $1-10M annually renewable-wide (estimated 1-5% revenue loss from contested curtailment charges and regulatory penalties) β’ $1-2B annually (estimated 5-10% of renewable generation blocked during peak periods in congested regions)
Current Workarounds
Analyst manually extracts data from 2-4 RTO portals; consolidates in Excel; identifies missing/disputed charges via spot checks; negotiates corrections via email β’ Coordinator manually monitors SCADA alarms and RTO alerts; initiates manual reconfigurations via phone/email coordination; tracks response via log sheets; manual documentation of incident β’ Coordinator manually reviews outage calendar in Excel; estimates congestion impact via tribal knowledge or manual load flow study; coordinates delays/reschedules via email; documents via spreadsheet
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Evidence Sources:
Related Business Risks
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