The startup develops a solar management system that employs machine learning algorithms to analyze solar farm operations and predict optimal power output. This technology enhances grid stability and power regulation, enabling clients to achieve maximum performance from their solar assets even during periods of high solar penetration.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AIDEUDFounders
Product
Problem
Solar power generation is inherently intermittent due to partial shading and changing weather conditions, leading to lost generation during curtailment and potential non-compliance with grid requirements. Inaccurate data reporting and poor curtailment response further exacerbate these issues, resulting in revenue loss for solar asset operators.
Solution
Latimer Controls offers an on-site Flexible Solar Management System (FSMS) that integrates directly with the power plant controller to dynamically manage power output. The FSMS employs novel control algorithms to orchestrate PV system inverters, ensuring grid power signals are met with high accuracy, typically over 95%. By estimating and reporting reserve power with machine learning, the system enables compliance with evolving grid requirements and recovers 10-20% of PV curtailment annually. The FSMS maximizes solar grid integration while optimizing profit by providing real-time solar HSL calculation and curtailment response.
Target Audience
The primary customers are utility-scale PV operators, Independent Power Producers (IPPs), and vertically-integrated utilities seeking to reduce PV asset curtailment, comply with PV control and data reporting requirements, and increase PV utilization.
Features
- On-site software deployment that integrates with the power plant controller
- Dynamic control algorithms for real-time power output management
- Machine learning-based estimation and reporting of reserve power
- High accuracy in meeting grid power signals (over 95%)
- SCADA integration for real-time data acquisition from inverters (DC Current, DC Voltage, AC power)
- Calculation of potential at each inverter to allocate setpoints for maximizing generation under curtailment
- Plantwide generation potential (PHL) sent to the grid operator to inform power generation requests