data dependencies of gis - epri intelligrid information... · cmms functions and benefits functions...

John J. Simmins, Ph.D.Technical Executive

Smart Grid Information CallJune 19, 2014

Data Dependencies of GIS PS161C - Information and Communication Technology

for Distribution Systems

2© 2014 Electric Power Research Institute, Inc. All rights reserved.

Agenda

•Background and Context•Data quality issues and impacts•The process•Status

Identification of Geographic Information System Data Dependencies, PID: 3002001042


Information and Communication Technology for Distribution Systems Research Areas• Geospatial Information System (GIS) Data Management and

Visualization The project will focus on correcting GIS data issues and using GIS as a platform for wide area situational awareness.

• Advanced Distribution Automation Communications The project will report on different communications network technologies to support the requirements of advanced distribution automation.

• Work/Asset Management Standards and IntegrationThis project focuses on accelerating CIM development for work / asset management and making CIM accessible to utilities for near term projects.


• Previous work– Monetizing the GIS– Data dependencies of GIS

• Current year work– GIS as a situational

awareness platform– GIS data quality handbook

• Future work– Future editions of the GIS

quality handbook– Work/asset management

integration with GIS– Data visualization using GIS

GIS Roadmap for ICT for Distribution


Why am I doing this? EPRI’s Standards Strategy• Advancing the standard

– Developing specific models/profiles, addressing gaps (e.g. CIM for Dynamics, GIS, DER, CIM for Environmental Data, Asset

Health modeling)

– Support interoperability testing• Technical Guidance

– CIM maintenance and upgrade strategies– Use Case integration– Tools development

• Education– Provide quality educational material such as CIM Primer


GIS in Context


Data Flow Overview


System Descriptions

• Outage Management System (OMS);

• Distribution Automation (DA);• Geographic Information System

(GIS);• Work Management System (WMS);• Computerized Maintenance

Management System (CMMS);• Advanced Metering Infrastructure

(AMI); and• Meter Data Management (MDM).


GIS Function and Benefits

Functions• Asset Registry• Map creation• Facilities Asset Management• Support for Graphical Design• Facilities Query and Analysis• Support for Engineering Analysis• Support for OMS / DMS

Benefits• Labor productivity• Asset utilization• Reduced field verification travel• Customer service• Regulatory compliance• Inter / intra company

communications

WMSOMS GISGraphical Design CMMSDistribution

AutomationAMI

MDM Communications


Graphical Design Tool Function and Benefits

Functions••

Graphical placement of facilities

•Auto - generation of design figures / drawing

•Enable use Design Templates

•Support use of Construction Units (CUs)Auto enable facility connectivity

Benefits• Design efficiency• Enforce construction standards• Accurate facility placement• Accurate connectivity model• Auto posting of facilities to GIS• Less tedious than WMS design


AutomationAMI

MDM Communications


OMS Function and Benefits

Functions• Outage Prediction, Analysis & Reporting• Switch Order Creation and Management• Trouble Crew Dispatch and Management• Restoration Process Tracking• Switching Control and Safety Tagging• Switching and Operation Logs & Reports

Benefits• Responsive customer service• Higher service reliability• Improved system operator and

dispatcher effectiveness• Better crew efficiency & safety• Proactive customer/public comm.• More effective storm mgmt.


AutomationAMI

MDM Communications


Distribution Automation Function and Benefits

Functions• Real time line re-configuring• Enable Micro Grid operation• Enable FLISR• Enable CVR and VVC• Enable DR and DG control

Benefits• Optimize system capacity• Improve service reliability• Improve power quality• Leverage renewable energy• Reduce system demand and

losses• Promote renewable energy


AutomationAMI

MDM Communications


CMMS Functions and Benefits

Functions• Asset Registry – Non Spatial• Asset maintenance record• Maintenance planning, scheduling and

tracking• Auto generation of maintenance work

order• Asset life cycle costing• Facilitate Reliability Center Maintenance

Benefits• Reliability or logic based

maintenance• Resource optimization• Reduce maintenance life cycle

cost• Identify equipment operating

(failure) trends


AutomationAMI

MDM Communications


WMS Function and Benefits

Functions• Work order Initiation and cost estimating• Work order cycle tracking• Resource Scheduling and Planning• Materials Requisition/Issue/Returns• Time Reporting• As-Built Reporting and Closing• Work order history

Benefits• Labor productivity• Cross resourcing crews• Reduced field verification • Improved customer service• Standards compliance• Inventory reduction• Access to company-wide data


AutomationAMI

MDM Communications


AMI Function and Benefits

Functions• Remote bi direction metering• Load time stamp• Outage communication – Last gasp• Theft detection• Remote service connect / disconnect• Gateway to customer automation• Data management / VEE

Benefits• Improve labor efficiency• Demand reduction• Improve service quality and reliability• Enable dynamic pricing • Enable customer choice• Enable energy efficiency portal• Support renewable energy


AutomationAMI

MDM Communications


Communications Function and Benefits

Functions• Data transport between devices and

applications• WAN and LAN• Provide cyber security for data transport

Benefits• Enable secure bi-directional

flow of information• Enable dispatch of control

commends


AutomationAMI

MDM Communications


GIS: The Value of GIS Data Quality for Electric UtilitiesProduct ID: 1024303

Objectives• Establish the methodology for

assigning monetary value to GIS data• The report provides utilities with an

adaptable template and set of tools that can be used to assess, improve, and ensure ongoing GIS data quality

Assigning a monetary value to GIS errors is the first step in correcting them.

Key Lessons Learned• The costs and benefits of good GIS

data can be quantified• GIS data improvement projects can

be justified using EPRI methodology

How to Apply Results• GIS professionals can use the tools

and concepts in this report to justify a GIS data improvement project


GIS Data Struggles

• Defining data ownership and access rights;

• Understanding touchpoints with other business areas;

• Developing processes and practices to fill current data gaps;

• How to correlate multiple data sources;

• Creating a single source of GIS data;• Reducing duplicate data entry; and• Implementing work process to enable

efficient and accurate data creation, quality control, and maintenance.


Types and Impact of Data Issues - 1

• Data Gaps– Either in initial conversion or through incomplete

maintenance, certain key data is missing from the GIS. – Gaps can be geographic or non-geographic. – Data which have not been collected and therefore limit

the utility’s knowledge of field facilities. • Redundancies with other systems

– Data are captured in many systems by different staff, the likelihood of inconsistency is high.

– Storing similar data in multiple systems require duplicate data entry which is usually inefficient and confusing.



• Lack of currency with system as built– It is extremely common for the utility to experience

deferred data maintenance and update of the GIS. – Although redlines or mark ups have been recorded on

paper field maps, they have not been entered into the GIS and thus, render the GIS data obsolete

– Untimely updates of the GIS are often the result of delayed work order completion and closeout, and also due to inefficient business process and technology alignment.



• Inaccuracies with the field – Data quality also suffers when the GIS has data, but it

does not represent the actual system in the field. – In addition to locational or GPS inaccuracy, these issues

are often the result of misaligned design/ build process and poor communication with field crews

• Inaccurate or unavailable landbase– Not all landbases are created equal. – Commercially-available landbase products may not

adequately represent the entirety of the service territory because the landbase vendors simply do not have access to better data or a sufficient customer base to improve the data themselves.



• Customer connectivity by phase is uncertain– Customer connectivity by phase information is vital to

ensure the proper operations of the smart grid components such as OMS or DMS.

– Although the field decision to connect a service transformer to a different phase of the distribution line may not be arbitrary, that information, or redlines to the construction drawings, are not updated to the GIS.

– Situation exacerbated by the introduction of DER on distribution feeders.


The Process

• Identify architecturally significant use cases

• Create use case• Import use case into EA• Create activity diagram• Create a profile• Create a message


Architecturally Significant Use Cases

Enterprise Integration Bus

DMS Planning DERMS

Meters, Switches, Capacitors, Regulators

DRAS

CIS/MDMS OMS WMS

SOLAR BATTERY PEV

GIS

Loads

• GIS to network operations

• GIS to network calculations

• GIS to network control

• GIS to maintenance and construction

• GIS to customer account management

• GIS to meter data management

• GIS to asset investment planning

• Customer account management to GIS

• GIS to fault location


Use CaseSummary: GINV supplies CTL with feeder, line, and sensor data in an initial update, and on an ongoing basis in incremental updates.

Complete Description: The GINV provides CTL with model data including, assets, and the aggregate of the assets. This data is provided in the form of feeder, device, and sensor data which enables CTL to retain an “as-operated” orthoschematic model of the distribution system.

Actor Name: Actor Type:

GINV Operator Person who helps to manage geospatial data (GIS operator).

CTL Operator Person who operates the CTL.

Geographic Inventory (GINV) Management of geospatial data, typically by utilizing computer graphics technology to enter, store, and update graphic and non-graphic information. Geographic depictions and related non-graphic data elements for each entity are typically stored in some form of a data store. The graphic representations are referenced using a coordinate system that relates to locations on the surface of the earth. Information in the data store can be queried and displayed based upon either the graphic or non-graphic attributes of the entities.1 This includes GIS.

Network Control (CTL) Network control is achieved through decentralized control functions that need to be coordinated at an upper level of the control hierarchy. Local automatic control functions can be performed using only local information and which do not need knowledge of network connectivity. These functions are supported locally by substation control equipment at substation level; Area network control functions coordinate the local functions. These functions are operator-dependent and are provided firstly by the remote control function and secondly through local control which is related to the orders given to field crews through mobile station terminals.

Step No. Event Names of Process / Activity

Description of Process / Activity

Information Producer

Information Receiver

Information Exchanged

1a CTL Update Periodic update GINV notifies CTL that more current “as-operated” information is

GINV CTL Data request (batch file)

1 IEC 61968-1, System Interfaces For Distribution Management – Part 1: Interface Architecture and General Recommendation


Data Exchange CTL Data Dependencies

Data Grouping Data Description Data Attributes

Asset Data

Line Segment Mandatory

Poles Optional

Generating Units Desirable

Circuit breaker, circuit switcher, circuit Recloser, generator (distributed generation), Switch, Fuse, Capacitor, Regulator, etct

Mandatory

Substation Configuration - Bus, transformer / LTC bank, regulator,

capacitor circuit switcher/breaker disconnect switch.

Mandatory

UG StructuresBURD, Enclosure, Hand Hole, Manhole, Pad/Slab, Subsurface Enclosure, Trench, Tunnel, Vault, Pull/Splice Box etc.

Optional

Systems Data Configurations, Connectivity, and parameters:- As designed- As operated (temporary)

Mandatory

Electrical Characteristics- Base Voltage- Voltage Level

Mandatory


Status

2013 work• Established 9 use cases

– Survey– Webcasts

• Created use cases• Determined the data

requirementsNext:• Create profiles• Create messages• Submit to IEC/MultiSpeak• Interoperability test (TBD)


GIS Interest Group Webcast: Geolocating Underground Utility Infrastructure • Date: June 24, 2014 • Time: 10:00 a.m. Eastern/

7 a.m. Pacific• Duration: 60 minutes• Presenter:• Geoff Zeiss, Between the Poles• Abstract:

According to national statistics, in the United States an underground utility line is hit on average every 60 seconds. The total cost to the national economy is estimated to be in the billions of dollars. In most municipalities in North America 2D as-builts of underground infrastructure are notoriously unreliable. The result is that the location of underground utilities is very poorly known. Although a few municipalities in Japan and elsewhere early on realized the importance of accurately geolocating underground utility infrastructure, it is fair to say that this has not been a priority for most municipal governments. However, in the last few years, two high-profile municipalities Milan and Las Vegas have conducted pilot projects that demonstrated the benefits of accurately geolocating underground infrastructure. New technology including ground penetrating radar, BIM, geospatial integration, 3D visualization and virtual reality have reignited the interest in developing models of underground infrastructure. In addition to new technology making it easier to develop these models, there is an important financial motivation as well. A number of studies have concluded that the ROI of improving the accuracy of location of underground infrastructure is significant, with estimates of the benefits ranging as high as $21 for every dollar invested. This webcast will offer an overview of global efforts to improve the reliability of locating underground infrastructure including recent technology advances and developing standards.


PS161C – ICT for Distribution Systems EPRI Team Contacts

• John Simmins– 865-218-8110 (desk)– 301-848-5153 (mobile)– [email protected]

• Don Von Dollen– 650-855-2210– [email protected]

• Matt Wakefield– 865-218-8087– [email protected]

• Christina Huff– (970) 460-9105 – [email protected]

• Tim Godfrey– 650-855-8584– [email protected]

• Ashley Eldredge– 650-855-2063– [email protected]


Together…Shaping the Future of Electricity

data dependencies of gis - epri intelligrid information... · cmms functions and benefits functions...

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