SOCL-GR-01
Enhanced Active/Reactive Power Management for TSO-DSO coordination
1. Description of the Use Case
1.1. Name of the Use Case
| ID | Area /Domain(s)/Zone(s) | Name of the Use Case |
|---|
| 1 | Greece, | SOCL-GR-01 |
1.2. Version Management
| Version No. | Date | Name of author(s) | Changes | Approval status |
|---|
| 3 | 2021-08-21T00:00:00 | Nenad Sijakovic, Aleksandar Terzic, | None | None |
1.3. Scope and Objectives of Use Case
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| Scope | Improved identification of the available flexibility resources, focused on a DSO voltage level, together with the improved identification of the power system flexibility needs, focused on a TSO voltage level grid, on a longer time span and wider geographical scope than the one being utilised today, through a simultaneous DSO and TSO and grid simulations backed up by AI based calculation engines. |
| Objective(s) | Frequency stability |
| Load flow and contingency monitoring and predictions | |
| Predictive congestion management for maintaining secure and stable power system operation | |
| Cost-effective operation of the system | |
| Early warning on a hazardous power system regimes, | |
| Better FSPs planning and managing flexibility resources. | |
| Better energy predictions and power system state predictions | |
| Improved identification of the available flexibility resources on all power system levels. | |
| Improved prediction of the system flexibility needs. | |
| Related business case(s) | None |
1.4. Narrative of Use Case
Short description
Identification of the available flexibility resources, from residential prosumers to the centralised WPPs and SPPs connected to the distribution grid or any local micro-grid (local energy community), through improved predictions and forecasting efficiency from increased spatial resolution NWPs and AI integration and its presentation with the improved observability on a higher operational control and monitoring levels, including regional, RSC level. In parallel an improved power system state estimation will be developed in order to better predict system flexibility needs, with the wider geographical observability and longer “look into the future”.
Complete description
F-channel application, that will be developed under WP8 - southern cluster (Greece) will be capable of identifying flexibility resources more precisely and simultaneously for both DSO and TSO grid levels, mainly under OneNet focusing on the lover voltage levels prosumers, that are usually not being covered with that detailed energy predictions, as well as identifying the power system state (the need for the flexibility services) in a much more precise manner and longer time horizons than it is being done today, covering wider geographical scope than it is being covered today by national control centres, and/or RSCs… The aim is to improve a production/consumption predictions for a different voltage level entities, from residential prosumers to the centralized WPPs and SPPs connected to the distribution grid or any local micro grid (local energy communities), through improved forecasting efficiency from increased spatial resolution NWPs and AI integration into the short to mid-term power system planning simulations.
• Improved identification of the available flexibility resources.
• Improved prediction of the system flexibility needs.
The application itself will not depend on the exact product being utilized within the market, or the market model itself (it will be possible to use it for different services and products, and different market models). It will focus on a predictive management of a products and need for those products. Possibility for products from a micro grid and DSO levels to be recognised and available for utilisation on higher voltage levels (TSOs, RSCs…) as well as on the administrative aggregator’s level:
• improved system oriented predictions and forecasting efficiency ->limit the volume of flexibility needs,
• identification of the flexibility resources to procure grid services, and
• better FSPs planning and managing flexibility resources.
The main foreseen benefits/functionalities related to this particular business case (Enhanced Power Management for TSO-DSO coordination) are as follows:
• Identification of the available flexibility resources from DSO and microgrid voltage levels
• DSO, DG and micro grid POI management (Point of Interest updates, technical data, historic data, forecasted data…)
• Change View - different aggregation level simulations (Energy predictions and system state predictions for different aggregation levels of DSO grid and local micro grid: unit level (distributed gen. unit, OHL tower/section), plant level (solar park, wind park, OHL, substation), local micro grid level (part of the DSO grid), DSO/TSO grid level calculations.)
• Improved congestion management process on TSO and RSC side (Improved short term forecasts, contingency analysis and capacity calculations through utilisation of the information from DSO and/or local micro grid operators.)
• Improved frequency control on TSO side
• Improved Voltage control on DSO and TSO side
• Improved System adequacy on DSO and TSO side
• Improved Islanded operation on DSO and TSO side
| ID | Name | Description | Reference to mentioned use case objectives |
|---|
| None | Energy production prediction error | None | Frequency stability |
| Load flow and contingency monitoring and predictions | | | |
| Predictive congestion management for maintaining secure and stable power system operation | | | |
| Early warning on a hazardous power system regimes, | | | |
| Better FSPs planning and managing flexibility resources. | | | |
| Better energy predictions and power system state predictions | | | |
| Improved identification of the available flexibility resources on all power system levels. | | | |
| Improved prediction of the system flexibility needs., | | None | Load prediction error |
| Load flow and contingency monitoring and predictions | | | |
| Predictive congestion management for maintaining secure and stable power system operation | | | |
| Early warning on a hazardous power system regimes, | | | |
| Better FSPs planning and managing flexibility resources. | | | |
| Better energy predictions and power system state predictions | | | |
| Improved identification of the available flexibility resources on all power system levels. | | | |
| Improved prediction of the system flexibility needs., | | None | Load flow prediction error |
| Load flow and contingency monitoring and predictions | | | |
| Predictive congestion management for maintaining secure and stable power system operation | | | |
| Early warning on a hazardous power system regimes, | | | |
| Better FSPs planning and managing flexibility resources. | | | |
| Better energy predictions and power system state predictions | | | |
| Improved identification of the available flexibility resources on all power system levels. | | | |
| Improved prediction of the system flexibility needs., | | None | Capacity prediction error |
| Predictive congestion management for maintaining secure and stable power system operation, | | None | Transmission losses prediction error |
| Predictive congestion management for maintaining secure and stable power system operation | | | |
| Early warning on a hazardous power system regimes, | | None | Contingency identification rate |
| Predictive congestion management for maintaining secure and stable power system operation | | | |
| Early warning on a hazardous power system regimes, | | | |
1.6. Use case conditions
| Relation to other use cases |
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| Level of depth |
| Prioritisation |
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| Generic, regional or national relation |
| Use case can be implemented in any geographical region on local, national, or regional level. |
| Nature of the use cases |
| Business Use Case |
| Further keywords for classification |
| Predictive congestion management, Power system forecasts, Energy predictions, Load forecast, Flexibility resources identification, Flexibility system needs predictions |
2. Diagrams of Use Case
3. Technical Details
3.1. Actors
| Actor Name | Actor Type | Actor Description | Further information specific to this Use Case |
|---|
| Weather forecast provider | Information provider | Unit inside the TSO/DSO, or contracted outsourced weather forecast provider company responsible for weather forecasts for selected weather parameters and selected locations in the grid. | |
| Load Forecasting operator (DSO/Micro-grid operator) | Information provider | DSO/Short term planning department load forecasting operator is responsible for consumption short term, mid term and long term forecasts, later on used for TSO level modelling under f-channel platform coordination: IGM updates, DACF and 2DACF procedures, Contingency Analysis and Capacity Calculations. | |
| Production Forecasting operator (TSO/Aggregator) | Information receiver/provider | TSO/Aggregator Short term planning department production forecasting operator is responsible for wind, solar and hydro, short term, mid term and long term production forecasts, later on used for TSO level modelling under f-channel platform coordination: IGM updates, DACF and 2DACF procedures, Contingency Analysis and Capacity Calculations. | |
| Load Forecasting operator (TSO/Aggregator) | Information receiver/provider | TSO/Aggregator Short term planning department load forecasting operator is responsible for consumption short term, mid term and long term forecasts, later on used for TSO level modelling under f-channel platform coordination: IGM updates, DACF and 2DACF procedures, Contingency Analysis and Capacity Calculations. | |
| Flexibility Register Operator (FRO) | Information receiver | None | |
| Production scheduling operator (market operator) | Information receiver | None | |
| DACF operator (TSO and corresponding expert in DSO) | Information receiver/provider | An expert from TSO/Short term planning department, responsible for day ahead congestion forecast simulation and analysis which as an output gives the list of critical elements and critical outages with the list of possible mitigation measures. If the DACF is performed by a national TSO than targeted, analysed system is usually only a national power system and first neighbouring systems. | |
| 2DACF operator (TSO and corresponding expert in DSO) | Information receiver/provider | The same as previous | |
| IGM manager (TSO and corresponding expert in DSO) | Information receiver/provider | TSO/Short term planning department Expert/s responsible for development, maintenance and regular updates of a Individual Grid Models containing: consumption nodes (active and reactive power), production nodes (active power and voltage set), overall voltage profile, assumed power exchanges with the neighbouring systems. IGM models are further used by DACF, 2DACF and ATC calculator for further simulations, calculations and analysis. | |
| ATC calculator (TSO and RSC) | Information receiver/provider | TSO Operational personnel working on intraday - real time power system control and operations in a dispatching room, using DACF, 2DACF, Outage schedules, production schedules and Contingency Analysis outputs that are prepared on a 2day-ahead, or day-ahead basis. Also, these experts are using SCADA/EMS in order to perform intraday 5-15 min simulations and contingency analysis in order to update of the same analysis in a real time. | |
| Power system control expert (TSO/DSO) | information receiver | TSO Operational personnel working on intraday - real time power system control and operations in a dispatching room, using DACF, 2DACF, Outage schedules, production schedules and Contingency Analysis outputs that are prepared on a 2day-ahead, or day-ahead basis. Also, these experts are using SCADA/EMS in order to perform intraday 5-15 min simulations and contingency analysis in order to update of the same analysis in a real time. | |
| Balancing mechanism operator (TSO) | information receiver | None | |
| RES Scheduling operator (TSO based) | information receiver | None | |
| Losses calculator (TSO) | information receiver | Improved forecasting of grid losses and available future capacities | |
| Regional DACF operator (RSC) | information receiver | An expert from RSC-Regional Security Center, responsible for day ahead congestion forecast simulation and analysis which as an output gives the list of critical elements and critical outages with the list of proposed mitigation measures. If the DACF is performed by a RSC than targeted, analysed system is usually regional, CCR based network model (CGM - Common Grid Model). | |
| Regional 2DACF operator (RSC) | information receiver | the same as previous | |
| CGM manager (RSC) | information receiver | TSO/Short term planning department or and RSC’s Expert/s responsible for development, maintenance and regular updates of a Common Grid Models containing: consumption nodes (active and reactive power), production nodes (active power and voltage set), overall voltage profile, assumed power exchanges with the neighbouring systems…CGM models are further used by DACF, 2DACF and ATC calculator for further simulations, calculations and analysis. | |
3.2. References
| No. | References Type | Reference | Status | Impact on Use Case | Organistaor / Organisation | Link |
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4. Step by Step Analysis of Use Case
4.1. Overview of Scenarios
| No. | Scenario Name | Scenario Description | Primary Actor | Triggering Event | Pre-Condition | Post-Condition |
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| 1 | Contingency identification and mitigation | Potential contingencies are identified up front (predicted) in the distribution and transmission grids via improved power system state prediction tools. The flexible resources are coordinated by the DSO and TSO to provide active power regulation services in order to relieve the local contingency of the grid. The flexible resources participating in this scenario have already been awarded by the market (declaring their availability through bids) and their bids have been pre-qualified by the DSO or TSO in order to participate to the Predictive short-term local active product.Provide/absorb of a certain amount MWh in specific timeframes in local distribution grid. This CM product will be automatically activated, and the flexibility resource will provide peak shaving services to the distribution grid when needed. The resources could be connected to both transmission or distribution grid. The activation time could be from 15 minutes to 1 hour. | | Contingency identification and mitigation | | |
| 2 | Coordinated voltage control | Potential overvoltage or under voltage severe states are identified, predicted up front. This are the states that can endanger overall power system voltage stability. In case of voltage instability, the DSO will coordinate the flexible resources to provide reactive power flexibility. The flexible resources participating in this scenario have already been awarded by the market (declaring their availability through bids) and their bids have been pre-qualified by the DSO in order to participate to the reactive power compensation. It is also possible to use the reactive power from a TSO level through the interconnection transformers with the TAP change possibility.In the occurrence of a predicted overvoltage or under voltage severe state that can endanger overall power system voltage stability. Provide/absorb of a certain amount MVarh in specific timeframes in local distribution grid through optimized coordinated tap change control on TSO-DSO interface, through an improved forecasts of the power system state on both TSO and DSO voltage levels. It can be used to regulate voltage and reduce energy losses in distribution grid and is linked with the voltage control. The reactive support product will be automatically activated, and the flexibility resource will provide reactive compensation to the distribution grid when needed. The activation time could be from 15 minutes to 1 hour. | | Coordinated voltage control | | |
| 3 | Improved power regulation through mFRR and RR | Provide identification of flexibility resources (primary, secondary and available tertiary reserve) more precisely, as well as identification of the flexibility needs in a more precise manner and longer time horizon than it is being done today. The activation time could be from 15 minutes to 1 hour. | | Improved power regulation through mFRR and RR | | |
Notes
4.2. Steps – Scenarios
| Scenario Name: |
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| Contingency identification and mitigation |
| Step No. | Event. | Name of Process/ Activity | Description of Process/ Activity. | Service | Information Producer (Actor) | Information Receiver (Actor) | Information Exchanged | Requirements, R-ID |
|---|
| 1.1 | Weather predictions | Trigger of the scenario | Unit inside the TSO/DSO, or contracted outsourced weather forecast provider company responsible for weather forecasts for selected weather parameters and selected locations in the grid is providing us with the high resolution NWP. | CREATE | Weather forecast provider | | | I1-01 |
| 1.2 | Energy predictions | Calculation of energy production and consumption | DSO/TSO Short term planning department production forecasting operator is responsible for wind, solar and hydro, short term, mid term and long term production forecasts, later on used for TSO level modelling under f-channel platform coordination: IGM updates, DACF and 2DACF procedures, Contingency Analysis and Capacity Calculations. | CREATE | | | | I1-02 |
| 1.3 | IGM updates | Updating the individual Grid Models | TSO/DSO Short term planning department Expert/s responsible for development, maintenance and regular updates of a Individual Grid Models containing: consumption nodes (active and reactive power), production nodes (active power and voltage set), overall voltage profile, assumed power exchanges with the neighbouring systems…IGM models are further used by DACF, 2DACF and ATC calculator for further simulations, calculations and analysis. | CREATE | | | | I1-03 |
| 1.4 | Contingency predictions | Contingency analysis and identification of the problems in the system | An expert from TSO/DSO Short term planning department, responsible for day ahead congestion forecast simulation and analysis which as an output gives the list of critical elements and critical outages with the list of possible mitigation measures. If the DACF is performed by a national TSO than targeted, analysed system is usually only a national power system and first neighbouring systems. Based on energy production and consumption predictions, grid simulation models are formed in order to be able to perform contingency analysis and identify potential contingencies in the grid. | REPORT | | Power system control expert (TSO/DSO) | | I1-04 |
| 1.5 | Mitigation measure identification | Identification of the list of potential mitigation measures | An expert from TSO/DSO Short term planning department, responsible for day ahead congestion forecast simulation and analysis which as an output gives the list of possible mitigation measures. | REPORT | | Power system control expert (TSO/DSO) | | I1-05 |
| 1.6 | FSP response | Evaluation of the available responsiveness of the flexible resources | Monitoring of the responsiveness of the flexible resources by the TSO and DSO in order to evaluate whether the flexible resources have the proper response to the event. The evaluation report is provided to the market operator. | EXECUTE | | | | I1-06 |
| Scenario Name: |
|---|
| Coordinated voltage control |
| Step No. | Event. | Name of Process/ Activity | Description of Process/ Activity. | Service | Information Producer (Actor) | Information Receiver (Actor) | Information Exchanged | Requirements, R-ID |
|---|
| 2.1 | Weather predictions | Trigger of the scenario | Unit inside the TSO/DSO, or contracted outsourced weather forecast provider company responsible for weather forecasts for selected weather parameters and selected locations in the grid is providing us with the high resolution NWP. | CREATE | Weather forecast provider | | | I2-01 |
| 2.2 | Energy predictions | Calculation of energy production and consumption | DSO/TSO Short term planning department production forecasting operator is responsible for wind, solar and hydro, short term, mid term and long term production forecasts, later on used for TSO level modelling under f-channel platform coordination: IGM updates, DACF and 2DACF procedures, Contingency Analysis and Capacity Calculations. | CREATE | | | | I2-02 |
| 2.3 | IGM updates | Updating the individual Grid Models | TSO/DSO Short term planning department Expert/s responsible for development, maintenance and regular updates of a Individual Grid Models containing: consumption nodes (active and reactive power), production nodes (active power and voltage set), overall voltage profile, assumed power exchanges with the neighbouring systems…IGM models are further used by DACF, 2DACF and ATC calculator for further simulations, calculations and analysis. | CREATE | | | | I2-03 |
| 2.4 | Voltage condition prediction | Load flow and voltage profile calculation | Voltage profile for all power system substations that are in operation. | REPORT | | | | I2-04 |
| 2.5 | Mitigation measure identification | Identification of the list of potential mitigation measures | Identification of a FSPs that can contribute to the resolution of the identified over or under voltage in the system. | REPORT | | | | I2-05 |
| 2.6 | Provision of reactive power flexibility services | Maintain proper and efficient grid operation | The flexible resources regulate their reactive power injection to the grid to relieve congestion, improve voltage stability and power factor, and symmetrize the grid loading condition. These services are provided according to the DSO coordination set points. The provision of the services is reported back to the DSO. | EXECUTE | | | | I2-06 |
| Scenario Name: |
|---|
| Improved power regulation through mFRR and RR |
| Step No. | Event. | Name of Process/ Activity | Description of Process/ Activity. | Service | Information Producer (Actor) | Information Receiver (Actor) | Information Exchanged | Requirements, R-ID |
|---|
| 3.1 | Weather predictions | Trigger of the scenario | Unit inside the TSO/DSO, or contracted outsourced weather forecast provider company responsible for weather forecasts for selected weather parameters and selected locations in the grid is providing us with the high resolution NWP. | CREATE | | | | I3-01 |
| 3.2 | Energy predictions | Calculation of energy production and consumption | DSO/TSO Short term planning department production forecasting operator is responsible for wind, solar and hydro, short term, mid term and long term production forecasts, later on used for TSO level modelling under f-channel platform coordination: IGM updates, DACF and 2DACF procedures, Contingency Analysis and Capacity Calculations. | CREATE | | | | I3-02 |
| 3.3 | mFRR and RR activation necessary | Trigger of the scenario | TSO needs to activate secondary or tertiary reserve in order to maintain the frequency in the system and maintain the active power exchange on its borders like scheduled. | CREATE | | | | I3-03 |
| 3.4 | Active power support | Provision of active power support | The flexible resources (FSP, aggregators, prosumers) provide active power support to the system. The flexible resources report to the TSO and DSO their activation. | EXECUTE | | | | I3-04 |
| 3.5 | Supervision of the active power support product | Evaluation of the proper responsiveness of the flexible resources | Monitoring of the responsiveness of the flexible resources by the TSO and DSO in order to evaluate whether the flexible resources have the proper response to the event. The evaluation report is provided to the market operator. | REPORT | | | | I3-05 |
| Information exchanged ID | Name of Information | Description of Information Exchanged | Requirement |
|---|
6. Requirements (optional)
| Category Identifier | Name | Description | mRID |
|---|
| Req_ID | Req_Name | ‘Enhanced Active/Reactive Power Management for TSO-DSO coordination’ | |
| Identifier | Name | Description | mRID |
|---|
| I1-01 | Weather forecast REPORT | Weather forecast vendor provides json files with the high resolution weather forecast for the predefined Points of Interest. | I1-01 |
| I1-02 | Energy production and load forecast REPORT | DSO and TSO operator is performing energy production and load forecast using f-channel in built AI calculation engines. | I1-02 |
| I1-03 | Updating the INDIVIDUAL Grid Models | IGM is being updated with the current energy and production forecast. | I1-03 |
| I1-04 | Contingency analysis REPORT | Contingencies are identified and registered | I1-04 |
| I1-05 | List of potential mitigation measures REPORT | Mitigation measures identified | I1-05 |
| I1-06 | Report | List of available FSPs. | I1-06 |
| I2-01 | Weather forecast REPORT | Weather forecast vendor provides json files with the high resolution weather forecast for the predefined Points of Interest. | I2-01 |
| I2-02 | Energy production and load forecast REPORT | DSO and TSO operator is performing energy production and load forecast using f-channel in built AI calculation engines. | I2-02 |
| I2-03 | Updating the INDIVIDUAL Grid Models | IGM is being updated with the current energy and production forecast. | I2-03 |
| I2-04 | Load flow and voltage profile REPORT | Over and under voltages are identified and registered | I2-04 |
| I2-05 | List of potential mitigation measures REPORT | Mitigation measures identified. | I2-05 |
| I2-06 | Report | DSO/TSO report to the market operator the evaluation report for the reactive power flexibility services provided by the flexible resources. | I2-06 |
| I3-01 | Weather forecast REPORT | Weather forecast vendor provides json files with the high resolution weather forecast for the predefined Points of Interest. | I3-01 |
| I3-02 | Energy production and load forecast REPORT | DSO and TSO operator is performing energy production and load forecast using f-channel in built AI calculation engines. | I3-02 |
| I3-03 | None | Communication between the flexible resources and the power system operators | I3-03 |
| I3-04 | None | Communication between the flexible resources and the power system operators | I3-04 |
| I3-05 | None | Communication between TSO, DSO and the Market Operator | I3-05 |
7. Common Terms and Definitions
| Key | Value | Refers to Section |
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