UC2-5

State Estimation

1. Description of the Use Case

1.1. Name of the Use Case

IDArea /Domain(s)/Zone(s)Name of the Use Case
1Energy,UC2-5

1.2. Version Management

Version No.DateName of author(s)ChangesApproval status
12021-11-05T00:00:00ICCS,First versionFinal

1.3. Scope and Objectives of Use Case

ScopeGRIDFLEX, X-FLEX platform
Objective(s)None
Related business case(s)None

1.4. Narrative of Use Case

Short description

State Estimation

Complete description

State estimation consists in the solution of an optimization problem that processes the measurements together with the network model in order to determine the optimal estimate of the system state. The output of state estimation is typically the voltage magnitude and phase (phase-to-ground voltage phasors) at all the network buses.

1.5. Key Performance Indicatiors (KPI)

IDNameDescriptionReference to mentioned use case objectives

1.6. Use case conditions

Assumptions
Prerequisites

1.7. Further information to the use case for classification/mapping

Relation to other use cases
Level of depth
Prioritisation
High
Generic, regional or national relation
Nature of the use cases
Further keywords for classification

1.8. General remarks

General remarks

2. Diagrams of Use Case

3. Technical Details

3.1. Actors

Actor NameActor TypeActor DescriptionFurther information specific to this Use Case

3.2. References

No.References TypeReferenceStatusImpact on Use CaseOrganistaor / OrganisationLink

4. Step by Step Analysis of Use Case

4.1. Overview of Scenarios

No.Scenario NameScenario DescriptionPrimary ActorTriggering EventPre-ConditionPost-Condition
1Main pathNoneMain path
2Exception pathNoneException path

Notes

4.2. Steps – Scenarios

Scenario Name:
Main path
Step No.Event.Name of Process/ ActivityDescription of Process/ Activity.ServiceInformation Producer (Actor)Information Receiver (Actor)Information ExchangedRequirements, R-ID
1Acquisition of dataNoneThe measurements devices send dataNone
2State estimation calculationNoneWith the received measurements the state estimation algorithm produces optimal power system dataNone
3Trigger the bad data detectorNoneThe verification of the accuracy and reliability of the estimated state is conducted by interacting with the bad data detectorNone
4Coupling with real-time applicationsNoneThe state estimator forwards its outcome to various real-time applications (UC 2.7)None
Scenario Name:
Exception path
Step No.Event.Name of Process/ ActivityDescription of Process/ Activity.ServiceInformation Producer (Actor)Information Receiver (Actor)Information ExchangedRequirements, R-ID
1Bad data are detectedNoneBased on accuracy bad data are removed and system state is recalculatedNone

5. Information Exchanged

Information exchanged IDName of InformationDescription of Information ExchangedRequirement

6. Requirements (optional)

Category IdentifierNameDescriptionmRID
Req_IDReq_Name‘State Estimation’
IdentifierNameDescriptionmRID

7. Common Terms and Definitions

8. Custom Information (optional)

KeyValueRefers to Section