Grid Operations

Comprehensive grid operator analysis (installations, feed-in, redispatch)

Deep-dive analysis of grid operator network including all connected installations, redispatch potential, feed-in patterns, and grid stress points. Essential for DSO/TSO network planning and investment prioritization.

Analysis Components:

  1. Connected Installations (from MaStR registry):

    • Total count by technology type (PV, wind, storage, biomass, CHP)
    • Installed capacity breakdown (MW by voltage level: NS/MS/HS)
    • Geographic distribution (identify concentration hotspots)
    • Commissioning trends (year-over-year growth)

  2. Redispatch Potential (Redispatch 2.0 eligible installations ≥100 kW):

    • Eligible installations count and capacity
    • By technology (wind=highest curtailment risk, solar=seasonal)
    • By location (identify congestion-prone areas)
    • Cost exposure estimation (€/MWh curtailment * at-risk capacity)

  3. Feed-in Patterns (hourly/seasonal analysis):

    • Peak feed-in times (solar: 11-14h, wind: variable)
    • Simultaneity factors (critical for grid dimensioning)
    • Voltage rise risk assessment (high PV density areas)
    • Reverse power flow analysis (substation overload risk)

  4. Capacity Distribution Map:

    • Hotspot identification (streets/transformers with high concentration)
    • Grid stress visualization (utilization >85% = investment priority)
    • White spot analysis (areas with expansion potential)
    • Transformer capacity vs. connected load

Use Cases:

  • Network Planning: Identify investment needs (transformers, lines, substations)
  • Risk Assessment: Redispatch cost exposure, voltage stability, overload risk
  • Investment Prioritization: ROI-driven CAPEX allocation, NEST project justification
  • Regulatory Compliance: Redispatch 2.0, §14a EnWG controllable devices
  • Strategic Planning: Expansion areas, smart grid solutions, §11 EnWG grid optimization

Critical Success Factors:

  • Update monthly (MaStR registry changes frequently)
  • Focus on MS/NS boundary (highest stress points)
  • Prioritize prosumer-dense areas (highest grid impact per km²)
  • Combine with dynamic tariffs (§14a EnWG) for CAPEX reduction
post/api/grid-operations/operator-analysis

Request

  • Base URL: https://api.cernion.de
  • URL: https://api.cernion.de/api/grid-operations/operator-analysis
  • Auth: none declared

Query parameters

tokenstring

Optional Cernion MCP token as URL query parameter. If provided, it overrides CERNION_TOKEN for this request. Prefer Authorization Bearer header in production to reduce token exposure in URLs/logs.

Request body

gridOperatorstring

Grid operator name (fuzzy matching)

gridOperatorIdstring

MaStR Netzbetreiber-ID (SNB/GNB...)

gridOperatorBdewCodestring

BDEW code (resolved to MaStR Netzbetreiber)

datestring

Optional: Specific date for analysis

includeRedispatchboolean

Include redispatch potential analysis

includeFeedInPatternsboolean

Include feed-in pattern analysis

includeCapacityMapboolean

Include capacity distribution map

tokenstring

Optional Cernion MCP token for this request. Overrides CERNION_TOKEN when provided.

Example request

{
  "gridOperator": "Stadtwerke München",
  "gridOperatorId": "SNB935578300972",
  "gridOperatorBdewCode": "9900992720003",
  "date": "2026-02-01"
}

Response

Successful response

object required

Changes

No recorded changes to this operation across all 2 revisions of this API.