Which grid congestion solution suits my company?

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Direct answer

A good grid congestion solution starts with insight into peaks, simultaneity, contracted transport capacity and flexibility. Only then does it become clear whether spreading, smart charging, battery storage, process control, energy hub agreements or contract optimisation is the best route.

  • Analyse peaks
  • Find flexibility
  • Assess smart charging or storage
  • Substantiate growth
Grid congestion solution with capacity analysis and energy data
In practiceGrid congestion solution with capacity analysis and energy data

Quick measure versus data-driven grid congestion solution

Grid congestion rarely calls for a single measure. The right solution depends on the company's profile: when do peaks arise, which processes are controllable, how much growth is needed and which agreements are possible with the grid operator or surroundings.

Key points

First analyse quarter-hourly data, peak moments and available contracted transport capacity.
Look at measures such as spreading, control, storage, smart charging and flexibility.
Combine technical possibilities with costs, operations and growth plans.

Starting point

Traditional approach

Immediately look for a battery or a heavier connection.

Modern approach

First analyse profile, peaks and flexibility.

Choice

Traditional approach

Measure based on assumptions.

Modern approach

Compare scenarios on cost, impact and feasibility.

Result

Traditional approach

Standalone solution without steering information.

Modern approach

Continuous monitoring of capacity and effect.

Which solutions are there?

Think of peak spreading, smart charging, process control, battery storage, CHP flexibility, energy hub agreements, contract optimisation and better planning of electrification.

  • Shift or limit peaks.
  • Distribute charging capacity dynamically.
  • Use the flexibility of processes or assets.
  • Assess scenarios for storage or an energy hub.

When do you know what fits?

You only know that when quarter-hourly data, contracted transport capacity, growth plans and operational constraints are placed side by side.

  • Determine the available grid capacity.
  • Find peak moments and causes.
  • Identify controllable load.
  • Compare the business case per measure.

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Where this adds value directly

Capacity

Determine where grid room gets stuck.

Scenarios

Compare measures on effect and costs.

Flexibility

Find controllable demand or generation.

Frequently asked questions

Practical answers to common questions about this topic.

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Is a battery always the best grid congestion solution?

No. Sometimes spreading, smart charging, contract optimisation or process control is cheaper and faster. It depends on the profile.

Can software solve grid congestion?

Software does not solve the grid physically, but it makes visible which capacity is being used and which control is realistic.

What is the core of grid congestion solution?

A good grid congestion solution starts with insight into peaks, simultaneity, contracted transport capacity and flexibility. Only then does it become clear whether spreading, smart charging, battery storage, process control, energy hub agreements or contract optimisation is the best route.

What data do I need for grid congestion solution?

Start with quarter-hour meter data, invoices, contract data and site characteristics. That makes grid congestion solution concrete, comparable and easier to follow up, rather than just a separate report.

When does this topic become relevant for my organisation?

As soon as it touches costs, grid capacity, reporting or daily operations. Also consider related themes such as grid congestion solution business, resolve grid congestion and grid capacity solution.

Series · Monitoring, grid capacity and value

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