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Grid capacity assessment

Grid capacity assessment is the practical evaluation of how much electrical power a site can supply (kW/kVA) to new loads, such as EV chargers, without exceeding technical limits (transformers, feeders, voltage drop, protection) or contractual limits (connection agreement). It is often the first step before a full grid capacity analysis and is used to decide whether a project can proceed on existing supply or requires upgrades and controls.

What Is a Grid Capacity Assessment?

A grid capacity assessment is typically a structured “go / conditional go/upgrade required” evaluation that answers:
– How much spare capacity exists today at the site connection and internal distribution
– What charger power and quantity are feasible under current constraints
– What constraints are binding (main breaker, transformer, feeders, voltage, fault level)
– Whether dynamic load management is required to stay within limits
– What DNO/DSO engagement is needed for capacity increase or approvals

Why Grid Capacity Assessments Matter for EV Charging

EV charging adds high continuous loads that can quickly exceed available headroom.
– Prevents installation failures such as trips and undervoltage
– Improves cost estimation by identifying upgrade scope early
– Supports phased rollouts and future-proofing infrastructure
– Improves DNO discussions by providing realistic load numbers and profiles
– Helps select the right charging approach (more AC vs more DC) based on constraints

What’s Included in a Typical Assessment

Site supply and constraints

– Incoming supply type (single/three-phase), voltage, main fuse/breaker rating
– Transformer capacity (if private) or service capacity (if utility-owned)
– Available spare ways and thermal limits in distribution boards and feeders
– Earthing system type (TT/TN) and protection strategy implications

Demand data review

– Historical demand (ideally 15-minute intervals) and current peak
– Seasonal impacts (winter HVAC, refrigeration, process loads)
– Planned building expansion loads that may reduce headroom

EV charging load estimate

– Charger type and power (AC vs DC) and expected simultaneity
– Duty cycle assumptions for fleets (arrival/departure times, dwell windows)
– Worst-case peak demand estimate and recommended site power cap

Preliminary risk and mitigation options

– Feasible charger count under current supply with load management
– Upgrade options if needed (larger feeder, new DB, transformer upgrade)
– DER options (PV, BESS) for peak shaving where relevant
– Phasing plan and trigger points for capacity increase

Key Outputs

A grid capacity assessment typically provides:
– Estimated available headroom (kW/kVA) and key limiting constraints
– Recommended charger quantity/power for Phase 1
– Recommended dynamic load management approach and site cap
– Upgrade scope outline with rough order cost drivers
– Next steps for DNO/DSO application if capacity increase is required

Common Pitfalls

– Using average building load instead of true peak intervals
– Ignoring internal distribution constraints even when the DNO connection seems sufficient
– Overestimating diversity at depots without enforceable controls
– Not accounting for DC charger peak behavior (dominates site demand)
– Skipping future loads (heat pumps, building expansion) that consume reserved headroom

Grid capacity
Grid capacity analysis
Grid connection
Distribution Network Operator (DNO)
Capacity reservation planning
Future load reservation
Dynamic load management
Duty cycle analysis
Network reinforcement