Remote power control
for PV power plants

Convert market signals, grid constraints, and operator instructions into executed actions across your PV portfolio

Automate the response

Without a single operational layer, teams face delays, errors, and uncertainty over whether the action was actually completed as intended

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No single place to coordinate control 

Commands and statuses scattered across emails, phone calls, and local tools make it difficult to manage control across the portfolio.

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Manual execution increases the risk of errors

Every additional manual handoff creates another opportunity for delay or misinterpretation.

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Hard to confirm execution

Without a shared status view, teams cannot immediately confirm whether the event was completed as planned.

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Portfolio scaling becomes costly

As the number of sites and stakeholders grows, teams quickly become overloaded without a centralized operational layer.

How does it work?

From signal to executed action

One platform connects the incoming signal, control logic, execution,
and confirmation - closing the loop from decision to action

SIGNAL

Control events are triggered by negative prices, grid constraints, trading decisions, or operator instructions.

CONTROL
LOGIC

The platform applies the right schedule, curtailment level, and execution parameters.

EXECUTION

Solar Spy sends remote control commands to the site and executes the planned operational action.

CONFIRMATION

Your team sees the event status, duration, reason, and execution history in one place.

Everything you need to execute
remote power control

Solar Spy gives your team one environment to manage curtailments,
schedule control events, and verify execution - from the portfolio level down to each individual event

Portfolio readiness view

Portfolio readiness view See where curtailments are active, which sites are ready for command execution, and where your team needs to intervene.

Control parameters from one place

Set active power limits and selected operating parameters without jumping between fragmented systems and local tools.

Event scheduling that keeps execution organized

Time-based control scheduling keeps actions consistent, reduces manual coordination, and gives teams better control over operations.

Full status and context for every event

Every event includes its reason, duration, status, and history, so your team sees not only the command, but also whether it was actually executed.

How it works in a
distributed PV portfolio?

Nordic Solar implemented Solar Spy as the central
operational layer for a 117-site portfolio in Poland

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117 plants under one operating standard

Solar Spy connected trading decisions with the physical operation of PV plants. The entire portfolio was connected to the system in just 2 months.

We turned a distributed, manual process into a centrally managed operating model that knows when to curtail production and how to execute that decision across the portfolio.

What remote power control gives you ?

Less manual coordination, faster execution,
and greater control over your entire PV portfolio

Faster response to market signals

Curtail production when market conditions or trading strategy require it.

Consistent execution across sites

One control logic works across the portfolio, without manually forwarding commands to each site.

Full visibility into event status

See which operations are scheduled, active, completed, or cancelled.

Better alignment between trading and operations

Turn market decisions directly into operational execution.

Fewer operational errors

Automation reduces the risk of mistakes caused by manual curtailment workflows.

Built to scale

The same approach works for individual PV plants and distributed portfolios.

Frequently Asked Questions

What is Solar Spy's remote power control for photovoltaic farms?

It’s a system that translates market signals, grid restrictions, and operator commands into actually executed operational actions. Instead of manually passing commands to each farm individually, the team manages power control from one centralized place.

Four main ones: no single place to coordinate control (commands and statuses scattered across emails, phone calls, and local tools), manual execution of commands increasing the risk of errors, difficulty confirming whether a curtailment was executed correctly, and costly scaling to many farms and stakeholders without a centralized operational layer.

The process has four steps: signal (resulting from negative prices, grid restrictions, trading arrangements, or an operator command), control logic (the platform assigns the schedule, curtailment scope, and execution parameters), execution (Solar Spy remotely transmits control to the site), and confirmation (the team sees the event status, duration, reason, and execution history in one place).

It shows where curtailments are active, which sites are ready to execute commands, and where the team needs to step in – all in one place, at the level of the entire portfolio.

The team sets active power limits and selected operating parameters directly in Solar Spy, without having to switch between scattered systems and local tools for each site.

Scheduling control over time helps keep actions consistent, reduces manual coordination, and gives better control over how operations play out across every site in the portfolio.

Nordic Solar deployed Solar Spy as the central operational layer for a portfolio of 117 sites in Poland, connecting the world of trading with the physics of photovoltaic farms. The entire portfolio was connected to the system within 2 months, turning a scattered, manual process into a centrally managed model that knows when to curtail production and how to enforce the decision across the whole portfolio.

No. Solar Spy offers automation with an optional manual oversight, so the team keeps control and can step in when needed, while still benefiting from consistent execution of operational actions across multiple locations.

Six main ones: faster response to market signals, consistent execution across multiple sites without manually passing commands to each one, full visibility into event status (scheduled, active, completed, or canceled), better alignment between trading and operations, fewer operational errors, and a model ready to scale – from a single farm to a distributed portfolio.