Work Package reports:

WP2: Proactive Maintenance

WP3: Power Consumption Studies through Pattern Recognition

WP4: Local Energy Systems – Micro Grids

WP5: Power Regulation by Voltage Control

WP6: Hosting Capacity

WP7: Inertia evaluation and support



Thesis works (masters):

Feasibility of DC microgrids for rural electrification

DC system and DC microgrids are gaining popularity in recent times. This thesis suggests a method to state the workability of a DC based PV system using the softwares Simulink, PVsyst and HOMER. The aims of this project include suggesting a DC based architecture, finding out the performance ratio and a cost analysis. The advantages of the DC based system, the cost benefits associated with it and its performance will determine its feasibility. Read more...

Krishna Prasad Vijayaragavan, Dalarna University and Glava Energy Center

Testing of Apis System Platform in Grid-Connected Photovoltaic System and Comparison with Metrum for Fault Detection and Diagnosis

A real time data management web-based software-platform for PV plant monitoring called Apis was tested for fault detection and diagnosis of large scale grid-connected photovoltaic systems. This method was compared with Metrum system which is also another web based monitoring system used in grid connected PV systems. Read more...

Getu Temasgen Yeneneh, Dalarna University and Glava Energy Center


CIRED Reports:

Performance indicators for quantifying the ability of the grid to host renewable electricity production

This paper proposes a comprehensive set of performance indicators that should be used when evaluating the hosting capacity of a system. Descriptions are given for the most relevant phenomena and how they should be quantified and measured. The suggested time resolution for the data has been 1 hour, 10 min and 3 s, based on what is available already in standard meters. The use of 100, 99 or 95-percentile values have an impact on the hosting capacity, and there is a need for further discussion with regards to the selection of statistical limits. - Read report...

Oscar Lennerhag, Gustavo Pinares och Math HJ Bollen, STRI AB samt Georgios Foskolos och Tokhir Gafurov, Mälarenergi AB

Using measurements to increase the accuracy of hosting capacity calculations

This paper has compared 5 different methods for calculating the hosting capacity in a distribution grid. The results show a large difference in the obtained hosting capacity depending on the method used. It was found that the use of measurements in the calculations greatly increases the hosting capacity, compared to when using assumptions based on a “worst case scenario”, without increasing the risk for the network operator or other customers. It was also found that the statistical index used (i.e. 100, 99 or 95%) has a large impact on the calculated hosting capacity. - Read report...

Oscar Lennerhag, Susanne Ackeby och Math HJ Bollen, STRI AB samt Georgios Foskolos och Tokhir Gafurov, Mälarenergi AB


Other Presentations (pdf)

In English

In Swedish

Broschure: "Pattern recognition technology enables higher levels of renewables in the grid"

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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