PandaPower Support & Consulting
PandaPower consulting and support for automated power system grid studies and production deployment.
Kickstage provides PandaPower support and consulting for power system teams that need reliable grid studies, scalable automation, and production-ready integration. We help you build and maintain PandaPower-based tooling—from rapid prototypes in Python/Jupyter to robust services integrated into your operational environment...
Whether you’re validating network models, automating large batch studies, or connecting grid analytics to dashboards, our engineers combine deep power-system knowledge with software engineering expertise to deliver results that are accurate, maintainable, and easy to operate.
What we do with PandaPower
PandaPower is a powerful foundation for fast, accurate grid simulations across distribution and transmission networks. We support your team end-to-end: from modeling and validation to pipelines, automation, and integration with modern grid data standards and tools.
What we help you achieve
- Faster, repeatable grid studies (power flow, short-circuit, time series)
- Automated pipelines for scenario & variant analysis
- Clean CGMES import/export + validation for interoperable modeling
- Operational-ready analytics: results stored in PostgreSQL/TimescaleDB and visualized in Grafana
- A codebase your team can maintain (tests, docs, handover)
Who this is for
- TSOs & DSOs modernizing grid analytics and operational tooling
- Energy consultancies running repeatable studies across multiple customers
- OEMs / vendors building grid-facing products and analytics modules
- Research and innovation teams moving prototypes into stable, production-grade tooling
- Utilities bridging planning studies into operational systems
Deliverables
Grid studies & analytics
- Load flow studies (power flow)
Build and validate workflows for planning, operations, and scenario evaluation. - Short-circuit analysis
Implement calculations and reporting aligned with your study requirements. - Time-series simulations
Automate runs for renewable integration, load/production profiles, and sensitivity analysis.
Automation & reliability
- Study automation at scale
Batch execution, parameter sweeps, contingency sets, and repeatable pipelines—optimized for throughput and reliability. - Model validation & data quality
Consistency checks, boundary validation, topology sanity checks, and reproducible model transformation.
Integration & deployment (where Kickstage differentiates)
- Integration & deployment
Turn notebooks into dependable services: APIs, job runners, schedulers, logging, monitoring, and scalable execution. - Productionization
Convert Python/Jupyter workflows into maintainable software components, containerized execution (Docker/Kubernetes if needed), and robust operations. - 24/7 operational on-call support
For mission-critical environments, we can provide 24/7 on-call support with agreed response times, escalation paths, and incident handling—so your pipelines and services stay reliable in production
Example use cases
- CGMES → PandaPower pipeline with validation
Import CGMES, validate models, transform into PandaPower network models, and standardize study inputs/outputs. - Automated batch studies for planning & stability work
Run large sets of scenarios (variants + time series) with consistent reports for engineering and decision makers. - Results → TimescaleDB → Grafana dashboards
Persist KPIs and time series outputs for benchmarking, monitoring, and stakeholder dashboards. - Hybrid toolchain workflows
Benchmark against DIgSILENT PowerFactory® or complement with PowSyBl where it fits best.
Tooling and integrations
We integrate PandaPower into real-world energy environments, including:
- CGMES data exchange pipelines and model validation
- PowSyBl for complementary analyses and CGMES workflows
- DIgSILENT PowerFactory® for benchmarking and advanced studies
- Python & Jupyter Notebooks for transparent engineering and fast iteration
- PostgreSQL & TimescaleDB for structured + time-series storage
- Grafana for real-time and offline study visualization
- Kubernetes for reliable execution at scale (where required)
- Field protocols (when needed): IEC 60870-5-104, TASE.2/ICCP, OPC UA, Modbus
How we work
- Short discovery to define datasets, goals, and success metrics
- Prototype or audit (quick wins within your constraints)
- Implementation (workflows, automation, integrations, deployment)
- Handover (documentation, tests, runbooks, enablement session)
- Ongoing support (agreed response times for active engagements
FAQ
Yes—workshops for PandaPower workflows, model validation, and building maintainable pipelines.
Yes. We can adapt to restricted environments and controlled access. Kickstage is based in Europe. For projects that require German security clearance (SÜ2), we can staff engagements with team members who are eligible and can complete the SÜ2 process as required by the client.
Time & materials, fixed-scope packages (e.g., CGMES pipeline + load flow automation), or support retainers.
Yes.We deliver production-ready code with automated tests, clear documentation, and a structured handover. On request, we also provide SBOMs, run security audits and hardening reviews, and support alignment with ISO 27001, NIS2, KRITIS, and the Cyber Resilience Act requirements relevant to your environment.
Ready to operationalize PowSyBl?
If you want to build reliable CGMES pipelines, automate contingency studies, or integrate PowSyBl into production systems with storage and dashboards, Kickstage can help, contact us for more information .
