Posted in | News | Renewable Energy | Wind Power

Princeton Power Systems Receives Funding to Speed Up Power Flow Control Technologies

Princeton Power Systems (PPS) declared that it has received a $1.8M funding from Oak Ridge Office Xlerator program of US Department of Energy.

The funding is granted to speedup the progress of its Distributed Generation Transformer and E-QUAD Power Flow Control technologies meant for applications in large wind turbines.

PPS has found out that by mixing the topology of a megawatt-scale converter with a high-frequency nanocrystalline-core transformer and silicon switching gadgets, an exclusive power converter can be created. The exclusive power converter can manage the functions of the generator, stipulate the grade of power and change it to a kind of voltage suitable for transmission as a single package. Such an introduction will drastically cut down the over all size of the power conditioning systems and their cost of production while continuing to improve their conversion efficiency.

In addition to this, the multi-port E-QUAD Power Flow Control structural design can include an energy storage facility to offer grid sustaining functions which includes low-voltage ride-through, frequency regulation thus enabling the wind power generating farms to reach their maximum production capability. More over the new technology when introduced will cut down the spending on plant components such as transformers and will allow the quicker penetration of new generator technology into the market. The technology was originally developed during the initial stages of wave power and tidal power productions but can be efficiently utilized in the existing large sized wind farms.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.