WP Summaries

WP2: Proactive Maintenance - Summary

PROACT: enabling Pro-Active Maintenance in the grid

A pro-active system solution using PQ data and AI for trend forecasts that can be used to avoid severe disturbances, and a WEB-based visual interface. The solution can be integrated with existing DSO/TSO systems and used for trend forecasting for different KPIs (energy, power and disturbance classification). Used by utilities and industrial facilities this will add value to existing PQ systems that only provide historical data analysis.

Event Ranking Index METU

An Event Ranking Index (ERI) is developed to rank the effects of an event to each customer in a given distribution network. A DSO can use ERI to understand how severely the customers are affected, and take precautions accordingly. Measurement placement for power quality observability and suggestions for reduced cost of installation are given.

WP3: Power Consumption Studies through Pattern Recognition - Summary

Multi-tool visualises grid utilisation rate and consumption patterns

A web-based prototype multi-tool based on PR technology that visualizes and forecasts electrical grid capacities and identifies potential flexibility. Showing the power grid’s various levels, this tool is valuable for network planning, operation and maintenance. Combining with data from other sources increases the value further and enables monitoring of the LV grid, suggest measures, validate data, perform risk analyses and help market actors adhere to regulatory requirements. The tool will also benefit other stakeholders (traders, property owners, aggregators and suppliers) and enable new business models, such as local energy markets.

WP4: Local Energy Systems – Micro Grids - Summary

Micro-grid concept improves solar PV harvesting

A new modular, scalable and flexible micro grid system was developed and demonstrated, where batteries and a smart controller were used to maximise the use of solar energy. Advanced data analysis was used to verify the functionality in addition to identify opportunities for increased harvesting of solar energy. PR of load and solar energy profiles could be used to enhance the power forecasts and hence the utilisation of the battery. A variant of the micro-grid demonstrator has been developed as a product and provided to health clinics in Zimbabwe for the UNDP. EPR developed a method to state the workability of a DC-based PV system, showing strong economic potential but a broader supply of components is required to realise this.

Solar power plant monitoring

EPR compared 2 systems for fault detection and diagnosis of large-scale grid-connected PV systems. By simulating errors, complementary benefits were found using a standard PV monitoring and a PQ monitoring system. Analysis on detection of snow and dust covering of solar PV plant using PR technology showed promising patterns.

WP5: Power Regulation by Voltage Control - Summary

Conservation Voltage Reduction (CVR): a study combining measurement and analysis

A study on possibilities to curtail the power use in a grid by reducing voltage levels. CVR enables peak shaving, increases capacity and optimized operation. This requires increased measurements and communication costs, resulting in reliability risks and risk of violating power quality. Since the effectiveness of CVR is closely related to the type of connected load, the need of predictable load patterns and detailed information about load composition is crucial. Finally, the regulation of voltage needs to be dynamic and close to the loads, e.g. by an online tap-changer at the secondary substation.

WP6: Hosting Capacity - Summary

Improved Hosting Capacity: enabling higher levels of renewables

Creating higher accuracy than regular theoretical calculations used today, EPR improved the tool for grid operators to assess the capacity for hosting renewable energy. Combining power quality measurement with multi-KPI-analysis, a larger amount of renewable generation can be integrated without an increase in costs or risk. Further capacity is possible by accepting a statistical 95% maximum. Adding prediction algorithms to assess future trends enables further optimisation of network planning.

WP7: Inertia evaluation and support - Summary

Inertia support by wind turbines: a study at Bares wind farm

Increasing renewable energy penetration has decreased the grid’s inertia due to the power electronic interface with the grid. In this study, ENERJISA’s BARES wind farm has been modelled in a simulation environment. Each wind turbine stores almost 18 MJ kinetic energy in the rated speed. A part of this kinetic energy is extracted in the frequency decrease instants in order to enable wind turbines to provide inertial support resulting in a lower RoCof and higher frequency nadir in the system.

Managing partner was

Metrum, Sweden

Project Partners were

Eltek, Norway

Rejlers Embriq, Norway

Enerjisa, Turkey

Glava Energy Center, Sweden

MälarEnergi, Sweden

STRI, Sweden

Funding partners were

Smart Grids Plus ERA-Net

Swedish Energy Agency

The Research Council of Norway



Horizon 2020

Other contributing organisations were

- Prediktor
- Municipality of Arvika
- Pöyry
- University of Borås
- University of Dalarna
- Karlstad University


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