Capacity planning specialists

EV Capacity Planning & Load Management

The disciplines that determine whether an EV charging installation is economically viable and grid-compliant. MIC optimisation, load management, and demand forecasting.

MIC optimisation DLM expertise Standalone service
The Process
1
Unmanaged peak calculation
2
DLM diversity modelling
3
BESS integration analysis
4
MIC recommendation & application
From Unmanaged Peak to Optimal MIC

The Process Step by Step

Every EV capacity planning engagement follows a clear analytical sequence. Here is exactly what happens at each stage.

1

Maximum Import Capacity: Getting the Number Right

Maximum Import Capacity (MIC) is the agreed maximum rate at which a site can draw power from the grid. Too low and the site pays excess capacity charges for every half-hour period above the limit, potentially making EV charging financially unviable. Too high and the site pays standing charges for unused capacity year after year. The MIC is also a key input to the DNO connection offer: a larger MIC requires more reinforcement, a bigger cable, and a higher connection charge. Getting the MIC right at the first application avoids both the cost of excess demand charges and the cost of renegotiating an over-sized connection. USP's right-sizing analysis determines the technically correct and economically optimal MIC for each project.

2

Dynamic Load Management: More Chargers Behind the Same Connection

Dynamic load management (DLM) is the technology that allows a site to install significantly more charger capacity than the MIC would otherwise accommodate. By monitoring total site consumption in real time and automatically reducing EV charging rates when other loads are high, DLM prevents MIC breaches while maximising charger utilisation. For a public hub with a 40% diversity factor, DLM effectively multiplies the useful charging capacity for a given MIC by a factor of 2.5. For fleet depots with managed charging, the factor can be 2-3x. USP selects the appropriate DLM platform for each project, integrates it with the charger management system, and configures it for the specific load profile and MIC agreed with the DNO.

3

Time-of-Use Tariffs and Demand Shifting

Half-hourly settled electricity tariffs mean that the price paid for each unit of electricity varies throughout the day, with significant price differentials between overnight off-peak periods and daytime peaks. For fleet depots where vehicles dwell overnight, shifting the majority of charging to off-peak hours can reduce energy costs by 30-50%. For public hubs where customers charge at variable times, the EMS can prioritise faster charging when prices are low and throttle when prices spike, reducing average energy cost without significantly degrading customer experience. USP advises on tariff selection and demand-shifting strategy as part of every capacity planning engagement.

4

The Six-Step Right-Sizing Framework

USP applies a consistent six-step framework to every EV capacity planning project. Step one: calculate the theoretical unmanaged peak (charger count multiplied by rated power). Step two: apply DLM diversity to model the managed coincident peak (typically 40-70% of step one for public hubs, 30-50% for fleet). Step three: add base load from non-EV site operations. Step four: subtract BESS peak shaving contribution (typically 20-50% of the managed EV peak for a correctly sized system). Step five: project the demand trajectory over five years as the fleet or hub utilisation grows. Step six: compare the capital cost of a smaller MIC with ongoing BESS running costs against the capital cost of a larger MIC without BESS. The output is a recommended MIC and supporting justification for the DNO application.

Energy management system display showing real-time EV charging load distribution and grid demand monitoring
Technical Expertise

Capacity planning that protects your investment

The right MIC, correctly sized DLM, and the economics of BESS integration. These are the decisions that determine whether an EV installation is profitable or a liability.

500+
EV connections delivered
50
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10+
Industry accreditations
Key Technical Considerations

Technical Specifications

The critical parameters that govern every EV capacity planning engagement.

MIC definition
Agreed maximum demand in kVA or kW. Excess capacity charges apply for every half-hour period above the agreed limit.
DLM diversity (public hubs)
40-70% of theoretical unmanaged peak. Justified by observed utilisation data or DNO regional factors.
DLM diversity (fleet)
30-50% with managed charging. Requires smart charging software and departure schedule integration.
Time-of-use savings
30-50% energy cost reduction with overnight off-peak charging versus daytime peak tariffs. Requires half-hourly settled tariff.
BESS peak reduction
20-50% peak import reduction for a correctly sized BESS. Directly reduces required MIC and associated DNO connection cost.
Standalone service
Capacity planning available as a standalone assessment before site purchase or planning. Covers available grid capacity, MIC, programme, and connection cost estimate.
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Real EV Capacity Planning Work

Why Choose USP

What USP Can Do For You

Expert EV capacity planning from specialists who install what they design.

Full capacity planning analysis as part of every EV project, including unmanaged peak calculation, DLM diversity modelling, BESS economic analysis, and demand trajectory over five years.
DLM system selection and integration, with configuration for the specific load profile and MIC, ensuring the system is correctly commissioned and not just installed.
BESS economic modelling per site, with payback analysis based on the specific tariff structure, peak demand profile, and connection cost alternative.
Diversity factor justification for NGED bespoke applications, backed by observed utilisation data or published DNO regional factors, reducing the risk of application rejection.
Standalone capacity planning service for feasibility assessments before site purchase or planning commitment, with full written report and programme risk assessment.
Certified Provider

Fully Accredited & Committed to Safety

Every EV project we deliver meets the highest industry standards. Worker safety, public safety, environmental responsibility, and project compliance from planning to sign-off.

WaterSafe accredited
WIAPS accredited
LRQA WIRS certified
LRQA NERS certified
LRQA GIRS certified
ISO 9001 certified
Achilles UVDB Silver Plus
Constructionline member
SSIP accredited
Acclaim accredited
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EV Capacity Planning FAQs

Frequently Asked Questions

Maximum Import Capacity (MIC) is the agreed maximum rate at which a site can draw power from the grid, measured in kVA or kW and set in the connection agreement with the Distribution Network Operator. If consumption exceeds the MIC, the DNO applies excess capacity charges, which are typically applied to every half-hour period above the agreed limit. Right-sizing the MIC is therefore critical: too small and you pay excess charges or cannot charge all vehicles; too large and you pay standing charges for capacity you never use. USP's capacity planning service determines the optimal MIC for each site.
Dynamic load management (DLM) is a system that monitors total site electricity consumption in real time and automatically reduces EV charging rates when other loads are high, preventing the MIC from being breached. DLM allows more chargers to be installed behind the same connection than would otherwise be possible. For a public hub with 40% diversity (meaning not all chargers are simultaneously at full power), DLM effectively allows the MIC to be sized at 40% of the theoretical unmanaged peak while still enabling all bays to charge simultaneously at reduced rates, or a proportion at full rates. USP selects and integrates DLM systems as part of every EV charging project.
In many cases, yes. The payback case depends on three factors: the time-of-use tariff spread (the difference between peak and off-peak electricity prices), the peak demand reduction achievable (which reduces standing MIC charges), and the cost of the BESS versus the cost of a larger grid connection without it. For sites with half-hourly settled tariffs and significant demand peaks, a BESS can deliver payback in 3-6 years. USP provides site-specific BESS economic modelling as part of the capacity planning service.
A diversity factor is the ratio of the actual coincident peak demand to the theoretical maximum demand if all loads operated simultaneously at full rated power. For public EV charging hubs, DNOs typically apply a diversity factor of 40-70%, meaning the connection is sized at 40-70% of the theoretical maximum. For fleet depots with managed charging, the effective diversity factor can be 30-50%. The diversity factor is a key input to the right-sizing framework and must be justified in the DNO application. USP prepares and defends diversity factor assumptions for every bespoke connection application.
Yes. USP offers capacity planning as a standalone service for developers, investors, and operators evaluating site feasibility before purchase or planning commitment. The assessment covers available grid capacity at the proposed location, estimated connection cost and lead time, MIC right-sizing for the proposed use case, DLM and BESS options, and a programme risk assessment. This information is often the difference between a viable and an unviable project, and obtaining it early avoids abortive expenditure on sites that cannot be connected at viable cost.
The principles are the same but the inputs differ significantly. For residential developments, the key variables are dwelling count, EV adoption trajectory, smart charging diversity, DNO regional diversity factors, and the interaction with other building loads such as heat pumps. For public hubs, the key variables are charger power levels, expected utilisation patterns, time-of-use tariff structure, BESS opportunity, and the DNO network capacity at the proposed point of connection. USP applies the same six-step right-sizing framework to both, adjusted for the specific characteristics of each project type.
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