Periodic Reporting for period 2 - RESPONDENT (Renewable Energy Sources Power FOrecasting and SyNchronisation for Smart GriD NEtworks MaNagemenT)
Okres sprawozdawczy: 2024-05-01 do 2025-04-30
As sustainable and abundant renewable energy generation is highly weather-dependent and variable, RES produce significant fluctuations in the generated output power. These power fluctuations can cause an inherent integration difficulty in legacy power supply and distribution networks. Despite the advent of smart power grids, that offer more efficient and automated power distribution, metering, control and security, which contribute to solving the seamless integration of RES into the power network, issues such as synchronisation and supply/demand balancing still exist. Being able to predict the amount of power generated, according to local weather and environmental conditions contributes to the seamless integration of RES. Accurate power demand forecasting allow the power network operators to achieve efficient and balanced system operation.
The EU’s Copernicus EO Programme offers advanced capabilities for the estimation of the local weather/climate parameters, which affect the power generation performance of the climate-dependent RES. The same parameters also provide information on the consumers’ demands.
Furthermore, the seamless and efficient integration of RES into the smart grid requires the effective monitoring of the grid, which in turn rely on Phasor Measurement Units, whose function is to perform electric signal measurements with precise timing and synchronisation.
RESPONDENT addresses and mitigates these issues pertaining to seamless and efficient clean integration of RES into smart grid power networks, by providing power generation and demand forecasting, and smart grid timing and synchronisation.
The EU’s Copernicus EO Programme offers advanced capabilities for the estimation of the local weather/climate parameters, which affect the power generation performance of the climate-dependent RES. The same parameters also provide information on the consumers’ demands.
Furthermore, the seamless and efficient integration of RES into the smart grid requires the effective monitoring of the grid, which in turn rely on Phasor Measurement Units, whose function is to perform electric signal measurements with precise timing and synchronisation.
RESPONDENT addresses and mitigates these issues pertaining to seamless and efficient clean integration of RES into smart grid power networks, by providing power generation and demand forecasting, and smart grid timing and synchronisation.
WP3 RES Power Generation Forecasting:
Beganin Month 6 and was successfully concluded by Month 21 of the project. During the final reporting period, the main activity focused on Task 3.5 – Power Generation Forecasting Module.
This task involved the completion and final validation of the Power Generation Forecasting Module, including the implementation of the user dashboard. 16 additional PV parks were added to the solution in order to enhance the algorithm training, and incorporate additional tests related to intra and inter PV park forecastings. The development work was finalised in the 7th quarter, marking the official closure of WP3.
These outputs confirm that WP3 objectives were fully met. The forecasting module was integrated into the RESPONDENT platform and deployed/demonstrated in Pilot 1 (WP6).
WP4 Power Demand Forecasting:
Began in Month 7 and concluded in Month 20 of the project timeline. The final reporting period focused on the completion of Task 4.3 – Power Demand Forecasting Module.
This task involved finalising the development and internal validation of the Power Demand Forecasting Module, including the user dashboard. The algorithms developed in the previous tasks were deployed to provide results online in real-time. Drift detection algorithms were also implemented to ensure that the accuracy of the developed algorithms always comply with the requirements specified in D2.1. The work culminated in the 7th quarter, marking the official completion of WP4.
The successful delivery of these outputs signified that the objectives of WP4 were met. The module was integrated into the overall RESPONDENT solution suite and demonstrated in Pilot 2 (WP6).
WP5 Smart Grid Galileo-Based Synchronisation and Monitoring:
Began in Month 6 and concluded in Month 21. This work package focused on the development and validation of Galileo-enabled synchronization technologies and their integration into the RESPONDENT platform.
Historical SCADA data from the grid was collected and reviewed, which served to define the operational baseline and topology displayed on the dashboard. Software enhancements to the SCADA system and MQTT infrastructure were undertaken to support real-time topology updates and data publication. Furthermore, data from the grid PMU was also collected and pre-processed. Following these, tests of the Galileo-based synchronisation features and data integration into the dashboard were conducted.
The synchronisation capabilities were demonstrated in the Pilot 2
WP6 RESPONDENT Suite, Demonstration and Validation
Began in Month 13 and was completed in Month 29, following a one-month extension to accommodate the second pilot. This work package focused on the integration of RESPONDENT’s core modules into a unified solution suite.
With all individual RESPONDENT modules delivered and validated under their respective work packages, the system integration phase was successfully completed. This resulted in a functional RESPONDENT platform combining power generation forecasting, power demand forecasting, and smart grid monitoring via Galileo-enabled synchronsation.
Pilot 1 – Athens
The first RESPONDENT pilot was conducted on 15 October 2024 in Athens, Greece. It focused on showcasing the Power Generation Forecasting Module (PGFM). All PGFM components were successfully installed, tested, and demonstrated in a live operational environment. The pilot event included a user engagement session (under WP7) and a site visit to KIEFER’s photovoltaic park in Artemida, where end users were introduced to the system’s capabilities in real-time solar forecasting and dashboard visualisation.
Pilot 2 – Barcelona
The activities leading up to the second pilot included the definition of the installation scheme and the commissioning plan, followed by a series of site visits to assess the feasibility of the selected substation. Once confirmed, all necessary materials were ordered and delivered. The physical installation and configuration of the PMU and associated hardware were then carried out, culminating in the system’s final integration with the RESPONDENT dashboard and communications infrastructure. In parallel, a Hardware-in-the-Loop (HIL) testing environment was set up to validate the PMU’s performance under simulated conditions, ensuring its reliability prior to field deployment. Prior to the deployment, several substations were assessed for PMU installation feasibility. Constraints such as underground placement, limited space, and poor satellite visibility were considered. Ultimately, the E.R. PUNSIC substation was selected as the most suitable location.
The pilot was successfully completed and was accompanied by a site visit, allowing stakeholders to observe the integration of real-time grid monitoring with forecasting and synchronsation functionalities.
Beganin Month 6 and was successfully concluded by Month 21 of the project. During the final reporting period, the main activity focused on Task 3.5 – Power Generation Forecasting Module.
This task involved the completion and final validation of the Power Generation Forecasting Module, including the implementation of the user dashboard. 16 additional PV parks were added to the solution in order to enhance the algorithm training, and incorporate additional tests related to intra and inter PV park forecastings. The development work was finalised in the 7th quarter, marking the official closure of WP3.
These outputs confirm that WP3 objectives were fully met. The forecasting module was integrated into the RESPONDENT platform and deployed/demonstrated in Pilot 1 (WP6).
WP4 Power Demand Forecasting:
Began in Month 7 and concluded in Month 20 of the project timeline. The final reporting period focused on the completion of Task 4.3 – Power Demand Forecasting Module.
This task involved finalising the development and internal validation of the Power Demand Forecasting Module, including the user dashboard. The algorithms developed in the previous tasks were deployed to provide results online in real-time. Drift detection algorithms were also implemented to ensure that the accuracy of the developed algorithms always comply with the requirements specified in D2.1. The work culminated in the 7th quarter, marking the official completion of WP4.
The successful delivery of these outputs signified that the objectives of WP4 were met. The module was integrated into the overall RESPONDENT solution suite and demonstrated in Pilot 2 (WP6).
WP5 Smart Grid Galileo-Based Synchronisation and Monitoring:
Began in Month 6 and concluded in Month 21. This work package focused on the development and validation of Galileo-enabled synchronization technologies and their integration into the RESPONDENT platform.
Historical SCADA data from the grid was collected and reviewed, which served to define the operational baseline and topology displayed on the dashboard. Software enhancements to the SCADA system and MQTT infrastructure were undertaken to support real-time topology updates and data publication. Furthermore, data from the grid PMU was also collected and pre-processed. Following these, tests of the Galileo-based synchronisation features and data integration into the dashboard were conducted.
The synchronisation capabilities were demonstrated in the Pilot 2
WP6 RESPONDENT Suite, Demonstration and Validation
Began in Month 13 and was completed in Month 29, following a one-month extension to accommodate the second pilot. This work package focused on the integration of RESPONDENT’s core modules into a unified solution suite.
With all individual RESPONDENT modules delivered and validated under their respective work packages, the system integration phase was successfully completed. This resulted in a functional RESPONDENT platform combining power generation forecasting, power demand forecasting, and smart grid monitoring via Galileo-enabled synchronsation.
Pilot 1 – Athens
The first RESPONDENT pilot was conducted on 15 October 2024 in Athens, Greece. It focused on showcasing the Power Generation Forecasting Module (PGFM). All PGFM components were successfully installed, tested, and demonstrated in a live operational environment. The pilot event included a user engagement session (under WP7) and a site visit to KIEFER’s photovoltaic park in Artemida, where end users were introduced to the system’s capabilities in real-time solar forecasting and dashboard visualisation.
Pilot 2 – Barcelona
The activities leading up to the second pilot included the definition of the installation scheme and the commissioning plan, followed by a series of site visits to assess the feasibility of the selected substation. Once confirmed, all necessary materials were ordered and delivered. The physical installation and configuration of the PMU and associated hardware were then carried out, culminating in the system’s final integration with the RESPONDENT dashboard and communications infrastructure. In parallel, a Hardware-in-the-Loop (HIL) testing environment was set up to validate the PMU’s performance under simulated conditions, ensuring its reliability prior to field deployment. Prior to the deployment, several substations were assessed for PMU installation feasibility. Constraints such as underground placement, limited space, and poor satellite visibility were considered. Ultimately, the E.R. PUNSIC substation was selected as the most suitable location.
The pilot was successfully completed and was accompanied by a site visit, allowing stakeholders to observe the integration of real-time grid monitoring with forecasting and synchronsation functionalities.
WP3:
- Weather forecasting algorithm incorporating correlated in-situ IoT WS and COPERNICUS EO data sets.
- Power forecasting algorithm based on a hybrid multiple-model combination approach, providing higher accuracy compared to the individual models.
WP4:
- Development of a rule-based classification for distinguishing different types of consumers. Rule-based classification algorithms offer several advantages, including interpretability, ease of understanding, and transparency. T
- Development of the Power Demand Forecasting models, specific for the different consumers.
- Development of a data-driven simulator for Power Demand, able to capture complex interactions, being adaptable to real new data, and easily scalable.
WP5:
- GNSS-based grid timing and synchronization enhanced with EGNSS (Galileo).
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- Weather forecasting algorithm incorporating correlated in-situ IoT WS and COPERNICUS EO data sets.
- Power forecasting algorithm based on a hybrid multiple-model combination approach, providing higher accuracy compared to the individual models.
WP4:
- Development of a rule-based classification for distinguishing different types of consumers. Rule-based classification algorithms offer several advantages, including interpretability, ease of understanding, and transparency. T
- Development of the Power Demand Forecasting models, specific for the different consumers.
- Development of a data-driven simulator for Power Demand, able to capture complex interactions, being adaptable to real new data, and easily scalable.
WP5:
- GNSS-based grid timing and synchronization enhanced with EGNSS (Galileo).
-