Use case identification
ID | Area /Domain(s)/Zone(s) | Name of the Use Case |
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UC-GR-1 | Area: Energy systemDomains: Distribution, DER, Customer PremisesZones: Station, Operation | Functions of SE tool given conventional measurements |
Version management
Version No. | Date | Name of author(s) | Changes | Approval status |
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0.1 | 17th June 2020 | Themistoklis Xygkis, Panagiotis Pediaditis, Stavroula Tzioka, Eleni Daridou, Dimitris Stratogiannis | Initial creation | Draft |
Scope | The scope of the UC is to investigate whether a high quality estimative of the network state will be acquired via the state estimation tool in real-time conditions under various network operating scenarios. The estimated network state will be used as an input to distribution management applications. |
Objective(s) | *To improve confidence in actual measurement data obtained throughout the network as well as available load forecasts. *To capture the real-time operational network state. |
Related business case(s) | add text |
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Short description The UC investigates the capability of the state estimation tool to filter the available measurement data, comprising actual measurements obtained from active metering devices and pseudo-measurements, i.e. data derived from load forecasting or RES scheduling for network observability accomplishment, in order to identify measurements with gross errors (bad data), to suppress measurement errors, to reconcile inconsistent data and, ultimately, to estimate the actual operational network state.
Complete description The DSO operates the distribution network. A measurement set, composed of actual and historical measurement data obtained from the dispersed metering devices (AMR, GIS, SCADA) installed throughout the network, is available for real-time operation purposes. The related measurements refer to power flows and voltage magnitudes at the top of distribution feeders, power injections from distributed generation units, and load pseudo-measurements for aggregated consumer demand at MV/LV transformer level. Given that the network model (topology) is known with a good degree of certainty, the state estimation tool ensures that the network is observable based on the available measurement set and, subsequently, calculates the estimated state vector, that is, the voltage magnitudes and angles of all network buses.
ID | Name | Description | Reference to mentioned use case objectives |
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Assumptions | Prerequisites |
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The network model (topology) is known with a good degree of certainty, DSO systems (e.g.AMR, GIS, SCADA) being operational |
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Actor Name | Actor Type | Actor Description | Further information specific to this Use Case |
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AMR | System | Automatic Meter Reading system | |
DMS | System | Distribution Management System | |
DSO | Person | Distribution System Operator, the entity responsible for the safe and secure operation and management of the distribution system; for data management associated with the use of the distribution system; for procurement of flexibility services using optimization algorithms and the DSO Technical Platform. | |
DSO Data Server | System | Database containing data from AMR, DMS & SCADA | |
DSOTP | System | DSO Technical Platform | |
GIS | System | Geographical Information System | |
SCADA | Device | Supervisory Control And Data Acquisition system |
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No. | References Type | Reference | Status | Impact on Use Case | Organistaor / Organisation | Link |
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No. | Scenario Name | Primary Actor | Triggering Event | Pre-Condition | Post-Condition |
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1 | Attainment of quality state estimation using accurate pseudo-measurements or indicating new measured points. | SCADA | State estimation accuracy below predefined threshold | State vector with relatively low accuracy | High-accuracy state vector |
2 | Fulfillment of observability using additional/alternative data to substitute for the missing ones. | SCADA | Initially missing or inconsistent measurements | Unobservable network | High-accuracy state vector |
Notes This part describes the possible scenarios of the use case. The scenarios should comply with the sequence diagrams in Sect. 2 of the template, so that every step describes one part of a communication or action. Apart from a normal success scenario, different failure scenarios or alternatives can be included to describe situations where preconditions are not satisfied or unwanted states are attained.
Scenario Name: No. 1 - Attainment of quality state estimation
Step No. | Event. | Name of Process/ Activity | Description of Process/ Activity. | Service | Information Producer (Actor) | Information Receiver (Actor) | Information Exchanged | Requirements, R-ID |
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1 | Measurements from the Distribution Network | Data Aquisition | Various field measurements that reflect the network state are communicated | REPORT | SCADA,DMS,GIS,AMR | DSO Data Server | I-01 | |
2 | Measurements from the Distribution Network | Data Aquisition | Various field measurements that reflect the network state are communicated | REPORT | DSO Data Server | BAP | I-01 | |
3 | Measurements from the Distribution Network | Data Verification | All data received gets verified and secured via blockchain technology | EXECUTE | BAP | BAP | ||
4 | Measurements from the Distribution Network | Data Acquisition | Verified and secured data is delivered to the DSOTP | REPORT | BAP | DSOTP | I-03 | |
5 | Measurements from the Distribution Network | Observability assessment | A numerical observability method is used in order to determine observability status | EXECUTE | DSOTP | I-03 | ||
6 | Measurements from the Distribution Network | Calculation of state vector | State estimation algorithm is carried out | EXECUTE | DSOTP | DSOTP | I-02 | |
7 | State vector with low accuracy | Data Aquisition | New measurements/pseudo-measurements integrated in the State Estimation tool | CHANGE | DSO Data Server | DSOTP | I-01 | |
8 | Measurements from the Distribution Network | Calculation of state vector | State estimation algorithm is carried out | EXECUTE | DSOTP | DSOTP | I-02 | |
9 | Measurements from the Distribution Network | Output of State Estimation tool | Estimated state vector is communicated | REPORT | DSOTP | DSO | I-02 |
Scenario Name: No. 2 - Fulfillment of observability
Step No. | Event. | Name of Process/ Activity | Description of Process/ Activity. | Service | Information Producer (Actor) | Information Receiver (Actor) | Information Exchanged (IDs) | Requirements, R-ID |
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1 | Measurements from the Distribution Network | Data Aquisition | Various field measurements that reflect the network state are communicated | REPORT | SCADA,DMS,GIS,AMR | DSO Data Server | I-01 | |
2 | Measurements from the Distribution Network | Data Aquisition | Various field measurements that reflect the network state are communicated | REPORT | DSO Data Server | BAP | I-01 | |
3 | Measurements from the Distribution Network | Data Verification | All data received gets verified and secured via blockchain technology | EXECUTE | BAP | BAP | ||
4 | Measurements from the Distribution Network | Data Acquisition | Verified and secured data is delivered to the DSOTP | REPORT | BAP | DSOTP | I-03 | |
5 | Measurements from the Distribution Network | Observability assessment | A numerical observability method is used in order to determine observability status | EXECUTE | DSOTP | I-03 | ||
6 | Lack of observability | Data acquisition | Additional/alternative data to substitute for missing or inconsistent measurements, are integrated in the State Estimation tool | CHANGE | DSO Data Server | DSOTP | I-01 | |
7 | Measurements from the Distribution Network | Observability assessment | A numerical observability method is used in order to determine observability status | EXECUTE | DSOTP | I-03 | ||
8 | Measurements from the Distribution Network | Output of State Estimation tool | Estimated state vector is communicated | REPORT | DSOTP | DSO | I-02 |
Notes This part describes the possible scenarios of the use case. The scenarios should comply with the sequence diagrams in Sect. 2 of the template, so that every step describes one part of a communication or action. Apart from a normal success scenario, different failure scenarios or alternatives can be included to describe situations where preconditions are not satisfied or unwanted states are attained.
Information exchanged ID | Name of Information | Description of Information Exchanged | Protocol |
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I-01 | Measurements | Measurements from the Distribution Network (voltage magnitudes, active and reactive power injections/flows) | TCP/IP, IP over GPRS |
I-02 | State Vector | Voltage magnitudes and angles of all network buses | |
I-03 | Observability status | The result of the observability assessment of the Distribution Network, i.e.whether the state estimation problem can be resolved or not |
Notes
Term | Definition |
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Pseudo-measurement | An injection whose value is obtained either from bus load forecasts or generation schedules. It is used as a substitute for a missing measurement in order to restore observability. |
State vector | Voltage magnitudes and angles of all network buses |
Key | Value | Refers to Section |
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