Modern EMS Solutions - ipcgrid.ece.msstate.edu · -Topology-based Network Sensitivities (similar to...
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Confidential. Not to be copied, distributed, or reproduced without prior approval. Modern EMS Solutions Anil Jampala, Manu Parashar GE Grid Solutions I-PCGRID workshop March 29, 2018
Transcript of Modern EMS Solutions - ipcgrid.ece.msstate.edu · -Topology-based Network Sensitivities (similar to...
Confidential. Not to be copied, distributed, or reproduced without prior approval.
Modern EMS SolutionsAnil Jampala, Manu ParasharGE Grid Solutions
I-PCGRID workshopMarch 29, 2018
Confidential. Not to be copied, distributed, or reproduced without prior approval.
What’s in a Name?
March 29, 2018
Journey vs Destination
• “Modern EMS” Solutions OR “Modern” EMS Solutions?• Looking back at our 2011 I-PCGRID Presentation
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Journey
March 29, 2018
“Modern” EMS Solutions
• From DEMONSTRATION projects to Deploymentprojects
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Operationalizing Synchrophasors for Enhanced Grid Reliability and Asset UtilizationDOE FOA Number: DE-0001492Award Number: DE-OE0000858
March 29, 2018
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Acknowledgments
• This material is based upon work supported by the US Department of Energy under Award Number DE-OE0000858, titled, “Operationalizing Synchrophasors for Enhanced Grid Reliability and Asset Utilization”
• Project Partners:
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Real-Time Synchrophasor Applications Hierarchy
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Project OverviewTotal Funding: $4M, Duration: 2 years (Jan. 2017 to March 2019)
Two phases: Phase I: R&D Phase II: Factory Acceptance Testing and Field
Demonstration
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Project Objectives
• Develop and demonstrate multiple synchrophasor applications that will enhance power system operations and planning by leveraging existing grid infrastructure.
• The applications are designed to enhance grid reliability and asset utilization through utilization of WAMS infrastructure along with EMS applications available at control rooms.
• Project includes product deployment and field demonstration at multiple utility locations.
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SCOPE 1: Planning ToolsImprove Dynamic Models using SynchrophasorsCompliance with NERC Reliability Standards on Model ValidationMOD‐026‐1: Verification of Models and Data for Generator Excitation Control SystemMOD-033‐1: Steady‐State and Dynamic System Model Validation
BENEFIT: More economical, timely and accurate approach than taking a power plant offline for performance testing.
SCOPE 2: Control Room SolutionsBetter Asset Utilization using Synchrophasors
Demonstrate utilization of PMU angle information to better manage the Voltage Stability-limited corridors (e.g., MISO’s Minnesota-Wisconsin Exchange: Renewables Integration)
BENEFIT: Raising the transmission line operating capacity closer to limits without risking blackouts.
δ
MWEX Corridor
Transient Stability
High-level Scope
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1. Planning Tools: Model Validation and CalibrationFor Improving Planning Models
ConceptLeverage observations from high resolution PMU measurements to validate and calibrate power plant dynamic models.
Benefit Better model grid assets and their interactions, thereby improving
grid reliability Synchrophasor-based model validation is more economical, timely
and accurate than validation methods that take a generator offline for performance testing.
Allows asset owners to continue operating the plant and realizing revenue without stopping operations
Cost-effective way for Generator Owners and Transmission Operators to satisfy NERC Reliability Standards
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March 29, 2018Presentation Title 11
Why do it? – Regulation… leads to business opportunity!• NERC mandates Generator owners to maintain accurate models • Current practice: shut down power plant, experts perform experiments• Automatic calibration = cost savings for customers
Automatic Model Calibration ToolPMU Data: GE Grid Software Solutions’ e-terraphasoranalytics assimilates PMU data
Model (Simulation Engine):GE Energy Consulting’s PSLFPowertech Inc.’s TSAT
Algorithms
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Model Calibration AlgorithmUKF/Optimization based parameter estimation
Parameter Identifiability Analysis AlgorithmDetermine most identifiable set of parameters across all events of interest
Event Analysis AlgorithmDetermine if event is qualitatively different from previous events
Model ValidationCompare measurements to default model response
Playback SimulationRun PSLF/TSAT using default model parameters
Disturbance DataV, f, P, Q PMU data at POI
End, if response matches with measurements
Key elements being developed on the project
Disturbance based Model Validation/Calibration
Report estimated parameter values, confidence metrics and error in model response vs. measurements
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Example Result: Hydro Power Plant Model Calibration
PMU data based dynamic model calibration for a Hydro power plant using NERC data set and GE PSLF simulation engine
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2. Control Room Solution: Angle–based Voltage Stability ManagementFor Transmission Corridors
ConceptTruly ‘Hybrid’ - Measurement and Model based approach that:• utilizes angle measurements from PMUs to monitor proximity to
voltage stability limits.• Leverages near-realtime model-based sensitivities to predict
margin changes in faster timescales (seconds/sub-seconds).
Benefit• Can detect increase/decrease in system loading with respect to
base case in real time (seconds / sub-seconds) much before a periodically running online voltage stability tool can detect such a condition.
• Dynamically adjust optimal monitoring points to accommodate changing stress patterns.
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CONCEPT USED- Topology-based Network Sensitivities (similar to LODF)
Realtime Post-CTG Angle Difference Prediction for a Source-Sink Pair based on present PMU measurements & Topology
Post-CTG Angle Difference & Post-CTG % Loading
Angle Limits Dynamically Updated based on DSA-VSAT
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Realtime Post-CTG Angle Difference Correction for a Source-Sink Pair based on present PMU measurements & Topology
CONCEPT USED- Topology-based Network Sensitivities (similar to LODF)
Post-CTG Angle Difference Control Sensitivities (Relative)
Enhanced Blackstart & Restoration Management
Real-time applications for the Control Room
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Realtime Detection & Identification of the Location of Islanding Events
KEY BENEFIT- Gives a good visibility to the operator in identifying the cause of island formation
Cause & Location of Islanding Event
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Realtime Monitoring of the Resources Available in each of theIslands
KEY BENEFIT- Gives a good visibility to the operator regarding the generation & load in each island
Contribution of Each Generator to the Total Generation in Island
Contribution of Each Load to the Total Load in Island
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Realtime Monitoring of the Interfaces of each Island & the Conditions needed for Resynchronization
KEY BENEFIT- Gives a good visibility to the operator regarding the paths available for merging islands
Interface (Synchronization Path) between Two Islands
Conditions for Island Resynchronization
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Realtime Detection & Identification of the Location of Island Resynchronization Events
KEY BENEFIT- Gives a good visibility to the operator in identifying the restoration action taken
Cause & Location of Island Resynchronization
Enhanced Disturbance Management
Real-time applications for the Control Room
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Realtime Detection, Monitoring & Characterization each Disturbance
KEY BENEFIT- Gives a good visibility to the operator about the event – Characterization &
Localization
Cause & Location of the Disturbance
PMU closest to the Disturbance
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Realtime Disturbance Detection
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Realtime Disturbance Detection
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Latest Event Detection & Description
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Disturbance Impact at PMU Locations
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Chronological Event History Archiving For
Post-Event Analysis
Dynamic Dispatcher Training Simulator
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EMS Platform
Integrated Dispatcher Training System:• Real-time simulator based
on Powertech TSAT• Simulated data is fed
directly into PP as C37.118 streams
• Data is also downsampledand sent to the EMS & DSA Tools
• EMS integrated with PhasorPoint and DSA tools
PhasorPointTraining Server
Central PDC
ApplicationServices
Data Services
Load Flow Simulation
Dispatch Control ETV Engine
DynamicGrid Simulator
Control RoomTraining Environment
Operator in Training
Downsamplingalarms
Simulated C37.118 Data
Powertech TSATEnvironment
Dynamic Training Environmente-terrasimulator
Dynamic Dispatcher Training Simulator (DTS) utilizing Transient Stability Engine (PowerTech TSAT).
Shaping the next-generation DTS/OTS
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In summary
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Our Modern EMS Solutions address common needs identified:Data Quality: Ability to detect and repair corrupt data or data gaps.
Operator Guidance: Need to provide corrective actions on synchrophasor-based monitoring.
Operator Training: Need for a training environment to familiarize operators/dispatchers on synchrophasor apps.
Engineering Applications: Provide offline analysis tools for operating engineers and planners, to effectively support real-time operations.
Scalability: Next-gen architectures will need to handle 1000s PMUs (e.g. URTDSM, India & ONS, Brazil)
Extensibility: Need to support new, not yet thought of applications as well as 3rd party apps.
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