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November, 2015
Smart Grids

Optimized energy - key figures for optimal grid utilization

The purpose has been by integrating various available measurement collection systems, at the power grid companies, can you get an overall picture of what the energy and power flow looks like at different points in the network. The purpose with the preliminary study has consequently been to compile data that can be used at an integration and further development of the electricity quality and measurement collection systems independent of system supplier. The intention has also been to identify and recommend new key figures that can be helpful to the power grid companies when the conditions for the operation of the electricity grid change.

Participant: Metrum Sweden AB,  Embriq AS, Falbygdens Energi Nät AB, Mälarenergi Elnät AB and Seniorit AB. Project manager: Pia Borg, Sciotech AB. 



The need for intelligent solutions for monitoring and control in the electrical grid is increasing. Climate change, electrical vehicles, solar and wind renewable energy production are a few areas which affect the power quality, energy flow and power variations in the grid. The continuous change in the grid push the need for KPIs (Key Performance Indicators) and analysis tools which can assist in achieving energy efficiency and maintaining security of supply in the local electrical grids. Some of the KPIs proposed in the report will be available in measurement systems already during 2016.

 The purpose of the pre-study project Optimized Energy has been to compile data which can be used in the integration and development of supplier independent power quality- and AMR (Automatic Meter Reading) systems. The intention has also been to identify and recommend new KPIs which can be included in analysis reports. The main purpose of the new recommended KPIs is to be a tool to monitor the electrical grids for the electrical grid owners, when planning, making investment decisions and when reporting to the authorities.

The result from the pre-study show that is technically possible to use the existing systems and to also integrate systems at the electrical grid owners to calculate the KPIs Capacity, Flexibility and Amount of Renewable Energy. It also show that the KPIs can be calculated for different levels of the grid, but it will require some minor software development in the existing system who should provide these KPIs, since it does not exist today.

The project show that there are a few KPIs which can be provided with the existing systems. KPIs for incentives in the new draft regulation can be shown on a summary level. Therefore in addition to the Swedish Energy Markets Inspectorate proposed KPIs, it is also possible to recommend the KPIs Voltage Variations, Efficiency, Load Factor, Losses, Interruption Statistics and Available Measurement Data to follow up the performance of the grid on the level chosen.

The new recommended KPIs for Harmonics related to rated power, Load (related to average and max load), Voltage Increase related to time as well as Voltage & Power Correlation can be added in the power quality systems, but can also be retrieved through integration of the existing systems. Several of the suggested power quality KPIs can most likely also be provided by the future energy meters and therefore also provide this information down to customer level. Using new smart energy meters for example makes it possible to measure SAIDI and SAIFI directly instead of being calculated as it is done today.

Except the proposal of KPIs, the report also include a short summary of the driving forces and challenges facing the electrical grids. A short summary of the workshop conducted with the grid owners and a mailing send out. An investigation of the legal regulations which include power quality and energy measuring. The report also include an example on how you can integrate the power quality systems with the revenue systems, including a proposal of an analysis report.

With energy and power analysis the belief is that in the next steps this can lead to large improvements and a more efficient and environment friendly use of energy as well as a more efficient grid operation, which will benefit both the end customer and the society in large. The pre-study recommend the usage of the KPIs which can be retrieved through minor system integrations since the cost of the implementation is small comparing to the benefits they can give.