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RESOLVD Objectives are design, develop and test a new power electronic device, resilient and efficient operation of the LV grid, LV network observability and forecasting, potential new business models and regulations

to improve the efficiency and the hosting capacity of distribution networks, in a context of highly distributed renewable generation by introducing flexibility and control in the low voltage grid

Project Overview

RESOLVD is a 36 months (01/10/2017-30/09/2020) RIA project

To contribute to setting the next generation of competitive technologies and services for smart grids addressed in the topic LCE-01-2016-2017 (Area: 4- Intelligent electricity distribution grid). European Union’s Horizon 2020.

RESOLVD proposes hardware and software technologies

To improve low voltage grid monitoring with wide area monitoring capabilities and automatic fault detection and isolation

The enhanced observability of RESOLVD

Provided through cost-effective PMUs and state-of-the-art short-term forecasting algorithms that predict demand and renewable generation, will permit a reduction of uncertainty in grid operation and an increased efficiency

DSO as a facilitator

The integration of these technologies, allowing interoperability with legacy systems and third parties in a cyber secure way, envisions new business models that will be analysed during the project.

News&Events

INTRACOM TELECOM Presented During ENERGYCON 2018 Conference

INTRACOM TELECOM presented during ENERGYCON 2018 conference

Last week our project partner INTRACOM Telecom gave a presentation entitled: “Digitization era for the smart…

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ComSensus: Enabling Real-time Distribution Grid Observability

ComSensus: enabling real-time distribution grid observability

ComSensus is a technology and innovation SME based in Slovenia, focused on the development of…

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Partners

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RESOLVD Project

Renewable penetration levered by Efficient Low Voltage Distribution grids

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 773715

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