Operational data analysis in distribution grid software

Operational Data Analysis in Distribution Grid

Software app: Time Series Control Center

Comprehensive analysis and precise visualization of all real-time and historical metering data and sensor data

In medium- and low-voltage grids, increasing amounts of measurement devices are being deployed to enhance transparency of the grid’s status. This generates vast amounts of real-time and historical grid data, which contain valuable insights. The challenge is to analyze this data efficiently – particularly when it is stored across different locations and formats – and transform it into useful insights for grid planning and operations.

The Time Series Control Center app was developed to address these challenges. It offers unified analysis and visualization of all operational data, such as substation measurements or data from smart meters. All operational data is linked to specific grid assets and integrated with the grid model, allowing this data to be directly used for grid planning or real-time operations like state estimation.

What you can use Time Series Control Center for:

With the Time Series Control Center, you can consolidate metering data and sensor data from various sources into a central, consistent database. This way you can perform both smart meter data analysis and e.g. substation data analysis in one single tool.

Integration of various measurement parameters for metering data analysis and sensor data analysis

Integration and analysis of various measurement parameters

The app allows the integration of measurement data from different sources and visualizes parameters such as current, voltage, and power for in-depth operational data analysis in your distribution grid. The app supports a wide range of protocols and standard interfaces with established measurement device providers, bringing all metering data and sensor data into one unified location to maximize its value and make it easily accessible for a variety of processes.

The Intelligent Grid Platform (IGP) supports multiple integration approaches. You can choose to store your measurement data in an existing backend or use the Time Series Control Center with TimescaleDB technology for storage. The latter allows to avoid duplicate data storage and enhances the efficiency of operational data management.

Extensive metering data analysis substation data analysis

Trends prediction in your distribution grid through time-series data analysis

The Time Series Control Center allows flexible metering data analysis as well as substation data analysis and visualization over time – whether in real-time or across hours, days, weeks, or even years. You can validate that measurement devices are integrated correctly and that data import is functioning as expected. The analysis of long-term voltage trends or load fluctuations from the metering and sensor data can offer critical insights into when grid expansion might be necessary.

You can investigate real-time shifts in power flows and voltage levels in the grid and take immediate action when needed. The app’s ability to perform extreme value analysis further aids in identifying potential problem areas early on, allowing for targeted action. Data export options are available to conduct further analysis in other systems and maximize the insights gained.

Thus, the app enables trends prediction in your distribution grid, helping you anticipate changes in grid performance and address issues before they become problematic.

Measurement device vidualization in the grid model for better operational data analysis

Grid model integration for better planning and operations

Each measurement device is linked to a specific asset (such as a transformer or line) or a grid connected element such as PV or smart meter within the grid model. This allows metering and sensor data to be directly utilized for grid planning or operational processes. For example, you can easily switch between historical grid data and simulation results to validate your planning assumptions. Alternatively, you can use real-time grid data directly for state estimation or flexibility management and its subsequent processes, such as device control.

The Time Series Control Center also allows users to manage how operational data from measurement devices is incorporated into different applications, improving the quality and relevance of various types of analyses and calculations.

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Not entirely sure yet? Read on!

3 reasons why you will love the Time Series Control Center for operational data analysis

More accurate grid planning

The app makes metering and sensor data from your distribution grid available for comprehensive analysis and grid planning. This allows you to compare real-time and historical grid data with simulation results, ensuring your planning processes are more reliable.

Improved process workflows

All measurement data is visualized in a standardized format, ensuring consistent and easily understandable visualizations. The automated integration with the grid model ensures that the data is ready for downstream processes without additional effort.

Cost savings through
reduced redundancy

The Time Series Control Center helps reduce costs by eliminating the need for a separate measurement data backend such as MDM, EDM or EMS. It integrates all operational data from measurement devices in one central location, removing the necessity for multiple proprietary systems.

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