---
title: "Comprehensive grid operator analysis (installations, feed-in, redispatch)"
method: POST
path: "/api/grid-operations/operator-analysis"
tags: ["Grid Operations"]
---

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

`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

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

## Query parameters

- `token` string

## Request body

- object
  - `gridOperator` string: Grid operator name (fuzzy matching)
  - `gridOperatorId` string: MaStR Netzbetreiber-ID (SNB/GNB...)
  - `gridOperatorBdewCode` string: BDEW code (resolved to MaStR Netzbetreiber)
  - `date` string: Optional: Specific date for analysis
  - `includeRedispatch` boolean: Include redispatch potential analysis
  - `includeFeedInPatterns` boolean: Include feed-in pattern analysis
  - `includeCapacityMap` boolean: Include capacity distribution map
  - `token` string: Optional Cernion MCP token for this request. Overrides CERNION_TOKEN when provided.

## Response `200`

Successful response

- object

---

[API](https://skmtc.dev/cernion/apis/cernion-energy-tools-api.md) · [All operations](https://skmtc.dev/cernion/apis/cernion-energy-tools-api/llms.txt) · [OpenAPI document](https://skmtc.dev/cernion/apis/cernion-energy-tools-api/revisions/cdb94473b538?raw)