GIS Data Assessment for DMS and Smart Grid Implementation

Transcription

1 GIS Data Assessment for DMS and Smart Grid Implementation John Dirkman, P.E. Telvent Esri EGUG 11 October /3/2011 1

2 Agenda 1. Determining your Distribution Management System and Smart Grid Drivers 2. Source Data Preparation 3. Communications and Security Where are you going? How do you get there? How do you survive the trip?

3 Smart Grid Drivers Where are you going? 11/3/2011 3

4 Key Business Problems for Utilities Reliability of service Peak demand reduction Utility cost savings Conservation voltage reduction Customer demand response Sustainability Renewable energy Electric vehicles Customer Choice Other, please specify Source: TUG 2011 Survey

5 Projects Under Consideration Distribution Automation (field automated switching) Automated Volt/Var Control Intelligent field devices and sensors OMS and DMS as one combined solution Customer Demand Response Customer Energy Portal Distributed Generation Electric Vehicles Predictive maintenance Other Source: TUG 2011 Survey

6 DMS and SG Benefits (10-15%) Technical Commercial (5-8%) Cause Theft and Unmeasured Energy (3-5%) Meter System (1-2%) Billing System (1%) Substation HV/MV (1%) Dist transform MV/LV (1-1.5 %) MV network (1-3%) LV network (1-3%) Improvement methods (using DMS) Control of measurement devices and connections Anonymous denunciation DMS - Location of Commercial Losses Gauging, new meters and MDMS Improvement of reading and billing system DMS - Optimal Network Reconfiguration DMS - Volt/VAR Control DMS - Network Development and Reconstruction DMS - Load Shedding DMS - FLISR DMS - Low Voltage Analysis

7 DMS Applications Basic Mandatory 1. Network Model 2. Topology Analyzer 3. State Estimation 4. Load Flow Calculation 5. Performance Indices Dispatching 1. Fault Location 2. Fault Isolation 3. Supply Restoration 4. Large Area Restoration 5. Switching Sequence Management 6. Under Load Switching 7. Return to Normal State 8. Temporary Elements 9. Work Order/Switching Proc Mgmt 10. Incident Management 11. Load Shedding 12. Thermal Monitoring 13. Short-Term Operation Simulation 14. Low Voltage Analysis Operations 1. Voltage Control 2. VAR Control 3. Volt/VAR Control (Closed Loop) 4. Voltage/Power Reduction 5. Optimal Network Reconfiguratn 6. Near-Term Load Forecasting 7. Short-Term Load Forecasting 8. Load Management 9. Operation Improvement 10. PHEV Management Analysis 1. Energy Losses 2. Operational Losses 3. Reliability Analysis 4. Fault Calculation 5. Relay Protection 6. Breaker/Fuse Capacity 7. Contingency/Security Assessmnt 8. Motor Start 9. Harmonic Analysis 10. Historical Analysis Planning 1. Medium Term Load Forecasting 2. Long Term Load Forecasting 3. Network Planning 4. Network Automation 5. Capacitor Placement 6. RTU/Sensor Placement 7. Network Reinforcement 8. Voltage Regulator Placement 9. Asset Management 10. DG Monitoring and Control 11. Network Scanner Training 1. Dispatcher Training Simulator Additional Functions 1. Peer-to-Peer FLISR 2. Meshed Low Voltage Networks 3. DMS Mobile SSM

8 DMS Applications Basic Mandatory 1. Network Model 2. Topology Analyzer 3. State Estimation 4. Load Flow Calculation 5. Performance Indices Dispatching 1. Fault Location 2. Fault Isolation 3. Supply Restoration 4. Large Area Restoration 5. Switching Sequence Management 6. Under Load Switching 7. Return to Normal State 8. Temporary Elements 9. Work Order/Switching Proc Mgmt 10. Incident Management 11. Load Shedding 12. Thermal Monitoring 13. Short-Term Operation Simulation 14. Low Voltage Analysis Operations 1. Voltage Control 2. VAR Control 3. Volt/VAR Control (Closed Loop) 4. Voltage/Power Reduction 5. Optimal Network Reconfiguratn 6. Near-Term Load Forecasting 7. Short-Term Load Forecasting 8. Load Management 9. Operation Improvement 10. PHEV Management Analysis 1. Energy Losses 2. Operational Losses 3. Reliability Analysis 4. Fault Calculation 5. Relay Protection 6. Breaker/Fuse Capacity 7. Contingency/Security Assessmnt 8. Motor Start 9. Harmonic Analysis 10. Historical Analysis Planning 1. Medium Term Load Forecasting 2. Long Term Load Forecasting 3. Network Planning 4. Network Automation 5. Capacitor Placement 6. RTU/Sensor Placement 7. Network Reinforcement 8. Voltage Regulator Placement 9. Asset Management 10. DG Monitoring and Control 11. Network Scanner Training 1. Dispatcher Training Simulator Additional Functions 1. Peer-to-Peer FLISR 2. Meshed Low Voltage Networks 3. DMS Mobile SSM Match Business Drivers with Project Drivers and DMS Applications

9 Source Data Preparation How do you get there? 11/3/2011 9

10 GIS Readiness ESRI survey of 226 utility companies on Smart Grid Readiness Lag between work completion and GIS Age of oldest outstanding work order Recommendation: Use GIS-based design and mobile GIS: Designer, ArcFM Mobile

11 GIS Readiness GIS data completeness GIS data accuracy Recommendation: Use a systematic process to improve accuracy and completeness

12 Increased Importance of Quality Smart Grid applications assume data from the GIS is complete, correct, and current

13 GIS Data Quality Problems 1. Transformer/customer connectivity 2. Phase mismatches: a. where phase changes between conductors (e.g. A to B, etc.) b. devices/conductors where phase is null c. devices and conductors that are in unintentional loops or multi-feeds

14 GIS Data Quality Problems 3. Voltage mismatches: a. where conductor voltage changes without a tap or transformer b. devices/conductors where voltage is null c. devices that have a different voltage than their connected conductors 4. Devices with null or duplicate ID s (switches especially) 5. Disconnected devices or conductors

15 GIS Readiness Find Disconnected Trace Feeder Manager Phase Mismatch Labeltext Expression:

16 The Geometric Network Must be a geometric network with accurate connectivity You can get business value from a Geodatabase without a complete or accurate network You can t get value from supporting Smart Grid apps without a complete and accurate network

17 Types of Errors Invalid feature geometries Multi-part geometries Closed polylines Self-intersecting polylines Rebuild Connectivity Repair Connectivity Verify Connectivity Verify Network Feature Geometry

18 Types of Errors Invalid Network Configurations Islands Loops Multi-feeds

19 Types of Errors Invalid Feature Attributes Phase Inconsistency Voltage Inconsistency 12.5kV Step Step XFR XFR HV 12.5 kv LV Unk 4.16 kv 120/240 v Distribution XFR HV 4.16 kv LV Unk

20 ArcFM Autoupdaters ArcFM Auto Phase Assign Returns a phase designation for a point feature when placed within a search tolerance of a conductor or when the point feature is updated. ArcFM Length Double Updates the Measured Length field with the value in the Shape.Len field. 20

21 ArcFM Autoupdaters ArcFM Connect Network Feature Connects a point feature to the network when it is not currently part of the network and is moved to snap to another network feature. ArcFM Inherit Operating Voltage Populates the operating voltage field of the incoming object with the value of the feature to which the object is connecting. All Feeder Manager Autoupdaters ArcFM Phase Swap can be used to correct phase data 21

22 ArcFM Validation Rules Electric Connectivity This object validation rule ensures that electric features are properly connected. For example, transformers and other devices must be connected to conductors or busbars and service points must be connected to secondary conductors. Conductors should be connected to other conductors. Feeder Info and Trace Weight Comparison This object validation rule compares the trace weight value to the Feeder Info field setting to verify that both fields have the same phases energized. Phase on Transformer Bank This field validation rule ensures that the phase value of a transformer is a subset of a connected primary conductor. 22

23 QA with Geodatabase Manager QA can also be invoked as a action within an application like Geodatabase Manager

24 DMS Data Import QA/QC Device connectivity Voltage inconsistencies Phase inconsistencies Invalid catalog data Zero-length conductors Devices at three-way intersections Incomplete data - missing required attributes Example error messages: ERROR: Phases of transformer (FacilityID= '520309') are inconsistent with phases of its associated primary lines ERROR: Equipment is not connected to the network. Equipment: Transformer, FacilityID= ') ERROR: Type of switch (FacilityID= ') is null 24

25 DMS Internal QA/QC DMS is then used for further data validation: Data within expected ranges Overloaded devices Low voltages Errors due to phase imbalance, incorrect connectivity, or incorrect conductor lengths Expected results from running DMS functions 25

26 Required DMS Data 26

27 Catalog Data

28 Equipment Catalog Examples: Transformers Fuses Switchs Capacitors Dynamic Protective Devices Conductors BankDevice + ObjectID: Integer + FeederID: String + FacilityID: String + Phase: PhaseDomain + <other attributes> GIS Model 1 Unit + ObjectID: Integer + BankOID: Integer + Phase: PhaseDomain + Mfg: String + Model: String + <other attributes> *

29 Equipment Catalog DMS Model Device + InstanceID: String * + FeederID: String + FacilityID: String + Phase: String + CatID: String GIS Model BankDevice + ObjectID: Integer + FeederID: String + FacilityID: String + Phase: PhaseDomain + <other attributes> 1 1 Catalog + CatID: String + <properties> Determine where to store the Catalog ID Multispeak: use EquipmentID ArcFM: use CatalogID Unit + ObjectID: Integer + BankOID: Integer + Phase: PhaseDomain + Mfg: String + Model: String + <other attributes> *

30 Catalog ID Option 1 1 DMS Model Device * Catalog + CatID: String + <properties> + InstanceID: String + FeederID: String + FacilityID: String + Phase: String + CatID: String GIS Model BankDevice + ObjectID: Integer + FeederID: String + FacilityID: String + Phase: PhaseDomain + CatID: String + <other attributes> Add Catalog ID attribute to GIS device classes Define as default value associated with a subtype Maintain with edit events (auto-updaters) 1 Unit + ObjectID: Integer + BankOID: Integer + Phase: PhaseDomain + Mfg: String + Model: String + <other attributes> *

31 Catalog ID Option 2 DMS Model Device * + InstanceID: String + FeederID: String + FacilityID: String + Phase: String + CatID: String GIS Model BankDevice + ObjectID: Integer + FeederID: String + FacilityID: String + Phase: PhaseDomain + <other attributes> 1 1 Catalog + CatID: String + <properties> Correspondence + CatID: String + DeviceType: String + <Attr1>: String + <AttrN>: String Correspondence Table And custom interface code Unit + ObjectID: Integer + BankOID: Integer + Phase: PhaseDomain + Mfg: String + Model: String + <other attributes> *

32 Consumer Groups Consumer loads aggregated into groups per transformer Groups can be generated from load data or tied to SCADA or AMI

33 Expectations about States DMS will need to track soon to be constructed/ energized features Energization can occur in DMS

34 DMS Model Promotion 34

35 Substation Internals 35

36 Weather Intelligence for SG Weather imposes the largest external impact on the Smart Grid Demand, renewable energy supply, and outages are heavily influenced by weather Intelligent weather integration is the key factor in efficient Smart Grid management Load Forecasting 90% of demand variation due to weather Transmission Temperature, humidity and wind impact line capacity Distribution Weather is largest cause of outages (lightning, high winds, ice, transformer failures due to high load, etc.) Wind Power Highly variable, difficult to predict. Causes increases in spinning reserve generation and risk of grid instability Trading Improved prediction of load and renewable energy contribution improves trading decisions Distributed Generation Home solar contributions can cause system instability due to rapid cloud cover changes

37 Communications and Security How do you survive the trip? 11/3/

38 Communications Networks Substation Distribution Generation Transmission/ Subtransmission AGC EMS Energy Trading DMS/SCADA DA AMI Energy Control Center Distribution Operations Center Digital Network

39 Communications Requirements Utilities must collect the data and timing requirements: 1. Determine data and timing requirements 2. Data for analysis, forecasting, control 3. Monitor data - manage data - act on data 4. Factor in security requirements and security overhead 5. Determine requirements to support bidirectional power flow Capgemini Feb 24, SmartGridNews

40 Communications Selection Drivers Availability of public/private wireless networks Funding Application requirements Utility maintenance and support capabilities Time to implement Substations Leased Circuits Licensed Radio Fiber Optics Satellite (V-SAT) Field Devices Licensed Radio Unlicensed Radio Point to Point Wireless Mesh Satellite (LEOS) Meters Cellular Dial-up Handheld Wireless Drive-by Wireless

41 Security Security planning and hardening is essential Collaborate on security Many devices, many protocols, many vendors Many system integrations different security requirements different levels of integration Many standards NISTIR 7628 (Sep 2009, 278 pgs) Technical and Prescriptive Goal: Security Strategy for Prevention, Response, and Recovery NERC CIP IEEE IEC

42 Summary Determine your Smart Grid and DMS Business Drivers Work to improve quality and timeliness of GIS data Prepare additional data sources Determine methods for communications and security 42

43 Questions? Thank You! John Dirkman, P.E. Telvent Esri EGUG 11 October /3/