Schneider Electric, profile picture
Uploaded bySchneider Electric
PDF, PPTX3,590 views

Trends in Distribution Automation

Optimizing distribution network operations involves leveraging leading industry trends such as platform consolidation, IT/OT convergence, big data analytics, and distributed energy resource management. An advanced distribution management system (ADMS) provides a comprehensive network management solution that can integrate monitoring, analysis, control, optimization, planning and training tools on a common infrastructure. Utilities are adopting solutions that leverage internet of things connectivity between intelligent field devices to provide layers of information exchange and control. Distributed energy resources like solar, wind, storage and microgrids can provide utilities alternatives to building new generation and transmission assets when used for peak relief, voltage support and grid resiliency.

Embed presentation

Download as PDF, PPTX
Optimizing Distribution Network Operations Ron Chebra– Principal, Utility Consulting Services
Leading Industry Trends ● Consolidation of software platforms GIS, Planning, DMS, SCADA, OMS, EMS ● Convergence of IT & OT Corporate IT and Operations IT silos ● Enterprise integration and Mobility Sharing data throughout the enterprise and field ● Big data (from several new sources) and Analytics More intelligent devices, smart meters, data warehouse ● Operational asset management and optimization Leveraging new techniques for efficient use of assets ● Energy efficiency throughout the value chain Network optimization, power control, demand response ● Managing distributed renewable energy (DER) Increase in wind and solar with high intermittency Today’sDiscussionFocus
SCADA Alarming, Tagging, Trending, Monitoring & Control OMS Incident, fault, customer call, switching, and crew mgmt and reporting DMS Network automation, FLISR, VVO, Energy Losses, Relay Protection EMS Transmission & Generation, AGC, Economic dispatch, Unit commitment DERMS Distributed Energy Resource Management, Load & power forecasting Geographic Information Systems, Common Infrastructure, Data Model, Security, History, User Interface ADMS is a comprehensive network management solution with monitoring, analysis, control, optimization, planning and training tools sharing a common infrastructure, data model, and user experience Platform Consolidation is happening Platform Consolidation
Geographic Information System (GIS) is a “core” building block ● Initial layout and design ● Model Feeder topology by phase ● CIM Adapter ● Graphic Work Design integrated with WMS and EAM ● Web, Desktop, Mobile ● Engineering Validation ● Supposed to eliminate “Overbuild” to save costs Platform Consolidation
SCADA, Telemetry and Control ADMS – Enhanced SCADA. New or traditional displays Platform Consolidation
Outage Management - OMS ADMS – OMS, AMI and IVR Integration, Prediction Platform Consolidation
Platform Products Service Infrastructure Distribution Power Applications – Function Execution ADMS – DMS functionality with list of power applications Platform Consolidation
Energy Management Systems Automatic Gen Control Scheduling Scheduling Visualization Platform Consolidation
Distributed Energy Resource Management (DERMS) Platform Consolidation DERMS is a software-based solution that increases an operator’s visibility in near real time into its underlying distributed resource capabilities distributed generation including renewables, distributed storage, load actions and resource management, demand response, etc. Through such a system, distribution utilities have heightened control and flexibility necessary to more effectively manage the technical challenges posed by an increasingly distributed grid assets and their operating characteristics.
Microgrid Controller & Event Management Reactive DER management Ensures microgrid real time stability & reliability Manage of connect/disconnect from the grid Optimize energy production & use StruxureWare Demand Side Operation Microgrid Controller Demand response requests Energy market pricing Weather forecast Client Constraints Predictive DER management Forecast when to produce, store or sell energy Interface with energy markets Accessible from anywhere DER Box Platform Consolidation
Demand-Side Operations - DSO 1 2 3 DER Box Customer constraints Weather forecast DR request 1 2 3 Platform Consolidation $ Market prices
StruxureWare™ Demand Side Operation • Cloud based platform for managing Microgrid Distributed Energy Resources • SW DSO collects • Microgrid energy data • Weather forecasts (DTN) • Market based energy pricing • Manages DER to optimize: • Demand-response programs • Tariff-based incentives • Self consumption • Coordinates communication with the smart grid • Demand response requests • Acknowledge, accept, reject • Confirmation of action, payments, verification Advanced algorithms help making fast decisions about cost-saving opportunities Battery Charging and Discharging Optimization based on Demand Relief and Economic Conditions Platform Consolidation
Realtime Bus Advanced Distribution Management System DMSSCADA OMS EMS DERMSMWFM OAM Feeder AutomationSubstation Automation Enterprise Bus ERP Energy Market GIS Network Mgmt AMI Weather MDM Behind theMeter Common Platform UI Model SecurityHistoryData Utility IT/OT Solution DER/Microgrid Automation IT/OT Convergence
Utilities are adopting solutions that leverage the connectedness of “things” (IoT, or Grid of Things GoT) 14 Smart Field Controllers Advanced Distribution Management Systems PQ meters Remote Terminal Units Faulted Circuit Indicators Relclosers Making greater use of intelligent end devices (IED) Leveraging more and greater field intelligence Deploying communication networks that link devices to devices and to control systems Integrating self-healing distribution networks Providing layers of information interchange at the control room and in the field Intelligence, Communication and Control are essential elements of the solution to provide the service required IT/OT Convergence
An Example of Grid of Things Challenges Focus Areas Integrated Solutions Devices and Tools 15Source: Schneider Electric IT/OT Convergence
Voltage Profile – Power at substation diminishes over distance Lower Regulatory Limit 114v Upper Regulatory Limit 126v VVO and Capacitors flatten profile allowing voltage reduction Existing Flattened Profile after VVO Lower Voltage to Reduce MWs CVR/VR FeederVoltage Feeder Length Voltage and VAR Control ADMS+Capacitors and LTC Efficiency leveraging the value chain
Recloser 3 Recloser 4 2D Feeder Recloser 2 2B 2A 1A Recloser 2 1D 1B Feeder Recloser 1 2C 1C B Recloser executes a trip and goes to lockout. Feeder Recloser Trips and Locks Open Closed Tripped Switchgear Live Dead Line Modbus Trip Request Roles Change, Protection Groups and “Direction of flow” Tie Recloser Modbus Close Request Recloser 1 B+SS BB+SS Substation 1 Appropriate Reclosing Tie Point is Closed. Now a Recloser in scheme Loop Automation Activation Delay timers start due to a loss of supply. > Fault isolated, with capacity check > Power restored to unfaulted sections in less than 1 minute > No operator intervention Safety: No re-energizing into fault Distribution Automation - Switching and Reclosing Substation 2 Recloser Efficiency leveraging the value chain
Confidential Property of Schneider Electric Efficiency leveraging the value chain
From a Utility Perspective, Distributed Resources may be any one of these, regardless of size and scale • Non Renewable Predictable and Controllable Distributed Generation Resources (DG) - Microturbines, CHP, Fuel Cells, etc. that have know ramp times, capacity and availability – Key Characteristic – They can be located remotely and placed near loads • Wild Distributed Energy Resources Renewable (wDERr)– Solar or Wind Farms that leverage natural resources to generate energy – Key Characteristic – Intermittent and Variable due to natural conditions • Tamed Distributed Energy Resources Renewable (tDERr)– Solar or Wind Farms that are augmented with energy storage to mitigate intermittency – Key Characteristic – Smoothing may be limited to storage type, AH capacity, and cycling • Microgrids (MG)- “A group of interconnected loads and distributed energy resources (DER) with clearly defined electrical boundaries that acts as a single controllable entity with respect to the grid [and can] connect and disconnect from the grid to enable it to operate in both grid-connected or island mode.” - Department of Energy – Key Characteristic – Operate in either grid connected or islanded mode depending on conditions or situations Distributed Resources
Minutes Seconds Distributed Resources Asset run time and fuel source make these assets very useful for many applications; however ramp time and other factors, such as EPA restrictions many limit their use
Wild Distributed Energy Resources- Renewables Distributed Resources
Wild DER + Storage = Tamed DER Distributed Resources
Source: Adapted from EPRI Institutional campus e.g. university, hospitals >20 MW ~5 to 15 MW ~2 to 5 MW ~ 10K to 2 MW Communities tied to the larger utility grid Microgrids Distributed Resources
What are some of the components of a typical MicroGrid? 24 Gen Set Micro- Turbine Battery Storage Wind Turbine PV Panel Arrays DC/AC Inverters DC/AC Inverters Battery Charging Systems Controller Controller Micro Grid Controller Intelligent Switch Power Status Command Control PCC Point of Common Coupling Schneider Electric Components Distributed Resources
DER and Microgrid: Utility Adoption Rationale and Applicability Rationale DG ($-$$$) Wild DER- R ($) Tamed DER ($$) M Grid ($$$) 1. Alternative to new centralized peak generation plant 2. Alternative to new sub-transmission lines or stations 3. Alternative to new Distribution Substations 4. Distribution Grid Resiliency 5. Distribution Grid Stability 6. Meeting Renewables Mix Objectives 7. Support Economic Development 8. PUC Regulatory Political Anticipation 9. Customer Retention – Avoid Defection 10. New Business Expansion for Utility SCALE Most Applicable Likely Applicable Partially Applicable Least Applicable Distributed Resources
Confidential Property of Schneider Electric Utility DER as…. 1) Alternative to new centralized peak generation plant > Drivers – Green Alternative to boost your mix of clean energy – Fuel Diversity – Locate power close to loads – Multiple small scale source vs. one large source – Supply can be aligned with load requirements and scale – Does not involve additional (sub)transmission connections – Connects to MV Distribution System – Alternative to Centralized VVO/CVR-type Optimization > Examples > LIPA/PSE&G power service for peak relief at end of Long Island > California AB-2514 PUC energy storage mandate to manage the “duck curve” demand ramp > Key Requirements: > Dispatch controllable, predictable, AGC > Anywhere where peak service or relief of asset overloading is required
Confidential Property of Schneider Electric Utility DER as…. 2) Alternative to new sub-transmission lines or stations > Drivers – Green Alternative – Supply a seasonal or transient peak for a targeted area – Supply a area of demand growth – May be much more economical than building new Transmission lines/stations/connections – Fewer permits and ROWs – Anywhere where peak service or relief of asset overloading is required – DR+ instead of DR- = greater control • Examples – LIPA/PSE&G power service for peak relief at end of Long Island • Key Requirements – Base and Peak Demand – Peak Energy Need – Localized and Distributed – Voltage and Frequency Support
Confidential Property of Schneider Electric Utility DER or Microgrid as…. 3) Alternative to new Distribution Substations > Drivers – Green Alternative – Right size supply needs where needed on distribution system – Does not require transmission tap – Installs where needed, on distribution system near loads – Easier to install and operate – Reduce overloading during peaks – Connects to MV Distribution System – Alternative to Centralized VVO/CVR-type Optimization – DR+ instead of DR- = greater control and revenue • Examples – ConEdison BQM Load Relief • Key Requirements – Base and Peak Demand – Localized and Distributed – Voltage and Frequency Support – Controllable and Reliable – Supply and Island
Confidential Property of Schneider Electric Utility Microgrid as…. 4) Distribution Grid Resiliency > Drivers – High availability resource to recover – Community/Emergency Services • Fire, Police, Pharm, Food, Fuel, Communications – Utility supports important to constituents/municipalities – Grid Hardening – Black Start Support of Distribution System – Ability to supply Islands within the distribution system • Examples – Department of Energy and Environmental Protection (DEEP) – Connecticut Microgrid Funding – NY Prize Program • Key Requirements – Island and Black Start
Confidential Property of Schneider Electric Volt/VAR Response Source: SWIG Report 1/2014 Utility DER or Microgrid as…. 5) Distribution Grid Stability > Drivers – Distribution Frequency Support – Distribution Voltage Support – Distribution VAR Support – Alternative to Capacitors and Voltage Regulation (which require work now) – Storage + DER can smooth variable supply of renewable sources – Can supply Islands in the distribution system during a macro disruption • Examples – Commonwealth Edison – Shedd Aquarium – Puerto Rico • Key Requirements – VAR Injection – Voltage Support – Fast Frequency Support Frequency Ride Through Source: SWIG Report 1/2014 Voltage Ride Through
Confidential Property of Schneider Electric Utility DER or Microgrid as…. 6) Meeting Renewables Mix Objectives > Drivers – Political and Regulatory bodies will drive States which will drive Utilities to reduce traditional carbon-based resources and increase renewables • EPA, State, PUC, City Council…. – EPA Clean Power Plan • Sweeping reductions by 2030 – RPS Renewable Portfolio Standard • Typically 20-30% for variable renewables – Progressive image for Utility or offer new programs (community solar) • Examples – Southern California Edison – Preferred Resources Program (100MW) – Massachusetts DOER Renewable Energy Portfolio programs • Key Requirements – Regulatory – Support Planet-Climate Change – Holistic optimization and control of DERs
Confidential Property of Schneider Electric Utility DER or Microgrid as…. 7) Support Economic Development > Drivers – Basis for Smart Cities – Socially Responsible Development – Support the Prosumer – Leverage additional funding channels • Developer Investment • Municipal Investment • Private Equity funding of CHP/MG/DER – Provide right amount of power now, with scalable future – Green and Progressive Image for Coop, Muni or IOU – Make your system attractive to new or expanding industry • Examples – Hoboken NJ, – Philadelphia Navy Yard, – Brooklyn Army Terminal, – BGE support of municipals, others • Key Requirements – Meet system growth demands – Meet Sustainability – Utility able to absorb operation into their business process (DERMS) – Good management tools and processes
Confidential Property of Schneider Electric Utility DER or Microgrid as…. 8) PUC Regulatory Political Anticipation > Drivers – Pilot or Demonstration Program conducted ahead of regulatory mandates or drivers – Gain Experience and Lessons – Prove operational concept with utility control center, load operators and field operations – Validate Infrastructure required to support • Technology • Personnel • Operational Processes • Examples – NY REV – Oncor (MicroGrid Demo Center) – Duke (COWI and II) – CPS Energy (VIP) • Key Requirements – Prove Storage application on distribution system – Integration with existing systems – Use of new communications Architectures – Ability to test and simulate
Confidential Property of Schneider Electric Utility DER or Microgrid as…. 9) Customer Retention – Avoid Defection > Drivers – Customers are going to choose MG/DER alternatives for themselves – Provide more reliable, resilient power – Add new revenue stream, within regulatory constraints – Make it happen vs. What happened? – Utility in Control of technologies – Optimize Rate Structures (TOU vs. Flat Rate) – Avoid loss of revenue from customers going “off grid” as well as “out of grid” • Examples – Shedd Aquarium – Walmart • Key Requirements – Supply close to load – Co-Ownership – New PPAs – New SLAs – New Partners
Confidential Property of Schneider Electric Utility DER or Microgrid as…. 10) New Business Expansion for Utility > Drivers – Un-Regulated side of IOU. Marketplace not constrained to regulated business areas – Community Microgrid/DER at Muni or Coop – Utility has skills and tools to manage this better than 3rd party – Consumers “trust” utility to manage power systems • Examples – Duke Engineering Services (non-reg side) – Expansion of previous “Back Up Gen” services into Microgrids • Key requirements – Utility willingness to pursue new business areas – Regulation supports these “expansions” of the distribution system
Now that utilities increasingly using Distributed Energy Resources, as “grid assets”, the use of “traditional” DA techniques must now be modified to include these elements and their capabilities to optimize the performance and fault management of feeders. Recloser Reclosers Feeder Recloser 1 Tie Recloser Recloser Feeder Recloser Recloser Cap Bank Cap Bank Voltage Reg Voltage Reg Cap Bank Substation Transformer, Capacitor Bank, Voltage Regulator MicroGrid Wild DER Advanced DMS/PCS Storage
 A given feeder (e.g. 101) serves residential and commercial customers, who have Advanced Metering Infrastructure (AMI)  There is a community area that is operating as a MicroGrid,  The utility has customers subscribed to a demand response program that can provide emergency load reduction  The feeder is configured in a “loop” with a Tie switch that can connect an alternate feeder (e.g. 212) for supply  This feeder is equipped with remotely controllable cap banks, midpoint switches and reclosers  The utility has an Advanced Distribution Management System (ADMS) and all devices are connected to a network Situation: Example: Feeder with a community that is a MicroGrid How can information, access and centralized operation along with a neighborhood microgrid, improve the operation of Fault Location, Isolation and Supply Restoration (FLISR) on a distribution feeder?
Confidential Property of Schneider Electric Our Feeder is configured in a loop with alternate supply. It also has a Community based Microgrid along with Demand Response Subscribers. R S S T R S S Feeder 212 Feeder 101 “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 5 MW Need 4 MW produced locally S 10 MW18 MW 6 MW Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Normal Conditions 30 MW 34 MW
Confidential Property of Schneider Electric Assume a Permanent Fault occurs in section “A” R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 5 MW Need 4 MW produced locally S 10 MW18 MW 6 MW Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO FAULT Feeder 212 Feeder 101 30 MW 34 MW
Confidential Property of Schneider Electric Recloser locks out after multiple attempts – sections A B and C are without power, AMI last gasp verifies outage in impacted areas; Microgrid is isolated; all status is communicated to Headend R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 5 MW Need 4 MW produced locally S 10 MW18 MW 6 MW Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Fault Conditions Feeder 212 Feeder 101 0 MW 34 MW
Confidential Property of Schneider Electric The Community, under DSO control, reduces non critical loads to balance supply and demand; Fault is isolated to section A, capacity is checked at feeder 212 R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 5 MW Load 4 MW produced locally S Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Fault Conditions Feeder 212 Feeder 101 0 MW 10 MW18 MW 6 MW 34 MW 4 MW Load
Confidential Property of Schneider Electric R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 4 MW Load 4 MW produced locally S Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Fault Conditions However, feeder 212 needs to reduce its load by 3 MW in order to also serve the load on B and C, so the ADMS does a DR call to reduce loads on X; Y and Z Feeder 212 Feeder 101 0 MW 10 MW 18 MW 6 MW 34 MW
Confidential Property of Schneider Electric R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 4 MW Load 4 MW produced locally S Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Fault Conditions ADMS Verifies load reduction on Feeder 212 through AMI and sensing at the switches; protection settings on Tie and switches and the recloser on Feeder 212 are changed Feeder 212 Feeder 101 0 MW 9 MW17 MW 5 MW 31 MW
Confidential Property of Schneider Electric S T R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 4 MW Need 4 MW produced locally S 9 MW17 MW 5 MW Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Feeder 212 Feeder 101 0 MW 45 MW ADMS Closes Tie Switch and energizes healthy section B and C; Community remains Islanded; restoration of section B and C is verified through AMI messages Partial Restoration
Confidential Property of Schneider Electric Fault is cleared - Tie opened, Feeder 101 Recloser and switch restored, all DR events are cancelled, Protection schemes restored, Restoration verified by AMI, DSO Restores Normal Conditions with MicroGrid R S S T R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 5 MW Need 4 MW produced locally S 10 MW18 MW 6 MW Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Normal Conditions Feeder 212 Feeder 101 30 MW 34 MW
Summary of events Recloser quickly isolates faults; Community is islanded AMI verifies fault location via “last gasp” and by switch information ADMS verifies capacity to switch load, since more supply is needed, a DR call is made to Feeder 212 AMI verifies load reduction on Feeder 212 Tie switch is energized to supply un-effected segments Fault is more quickly fixed Normal service is restored AMI meters are “pinged’ to verify no nested outages exist after restoration Fewer customers impacted by a fault, the community remains light through islanding and reconfiguration happens in minutes Circuit is protected from back feed Since the fault is isolated to smaller area, restoration happens faster Crews do not have to be re- dispatched to field
Questions? Page 47 Confidential Property of Schneider Electric |
Thank You Page 48 Confidential Property of Schneider Electric | Ron Chebra Ron.Chebra@Schneider-Electric.com +1 609-865-0166
Trends in Distribution Automation

More Related Content

PPTX
Design of substation
bySayanSarkar55
 
PPTX
Types of cables
byPreetshah1212
 
PDF
Presentation on 132/33KV BSPTCL(Bodhgaya Substation)
byRahul Prajapati
 
PPTX
power quality improvement by using DVR
bySumanth Prince
 
PDF
Design of substation (with Transformer Design)
bySayanSarkar55
 
PPTX
Poles and towers
byGas & Oil Pakistan Ltd.
 
DOCX
Solar power bank
byArpanJain63
 
PPTX
Types Of Substations
bysapna186
 
Design of substation
bySayanSarkar55
 
Types of cables
byPreetshah1212
 
Presentation on 132/33KV BSPTCL(Bodhgaya Substation)
byRahul Prajapati
 
power quality improvement by using DVR
bySumanth Prince
 
Design of substation (with Transformer Design)
bySayanSarkar55
 
Poles and towers
byGas & Oil Pakistan Ltd.
 
Solar power bank
byArpanJain63
 
Types Of Substations
bysapna186
 

What's hot

PDF
An overview of FACTS devices
byIndian Institute of Technology Guwahati
 
PPTX
Control of dvr with a bess
byKrishna Kilari
 
PPTX
132KV SUBSTATION UPPTCL
byAman Rajput
 
PPT
Dynamic voltage restorer (dvr)2
byLakshmana Rao Polimera
 
PDF
IRJET - Wireless Charging of Electric Vehicle
byIRJET Journal
 
PPT
HVDC vs HVAC ppt
bySameer Gupta
 
PPTX
MPPT
byMANISH BARTHWAL
 
PDF
IEEE substation design
byVincent Wedelich, PE MBA
 
PPT
OPTIMAL PLACEMENT AND SIZING OF CAPACITOR BANKS BASED ON VOLTAGE PROFILE AND ...
byPrashanta Sarkar
 
PPTX
Seminar on load scheduling and load shedding
byBIJAY NAYAK
 
PDF
Cable sizing to withstand short-circuit current - Example
byLeonardo ENERGY
 
PPTX
Protection and control of Microgrid
byAmarjeet S Pandey
 
PDF
SUB-STATION DESIGN AND PROTECTION (AN OVERVIEW)
byAmeh Messiah Edache
 
PPT
Plcc ppt1
bySunny Gupta
 
PPTX
PPT ON 33/11KV SUBSTATION
byRavi Phadtare
 
PPTX
HVDC & FACTS
byBrunda R
 
PPTX
Grid Interconnection of Renewable Energy Sources at the Distribution Level Wi...
byPradeep Avanigadda
 
PPT
Smart grid
byPraneeth Reddy
 
PPTX
A mini project on the transmission tower
bynaqeeb04
 
PPTX
Measurenments of DC Resistivity
byEngr Muhammad Imran
 
An overview of FACTS devices
byIndian Institute of Technology Guwahati
 
Control of dvr with a bess
byKrishna Kilari
 
132KV SUBSTATION UPPTCL
byAman Rajput
 
Dynamic voltage restorer (dvr)2
byLakshmana Rao Polimera
 
IRJET - Wireless Charging of Electric Vehicle
byIRJET Journal
 
HVDC vs HVAC ppt
bySameer Gupta
 
MPPT
byMANISH BARTHWAL
 
IEEE substation design
byVincent Wedelich, PE MBA
 
OPTIMAL PLACEMENT AND SIZING OF CAPACITOR BANKS BASED ON VOLTAGE PROFILE AND ...
byPrashanta Sarkar
 
Seminar on load scheduling and load shedding
byBIJAY NAYAK
 
Cable sizing to withstand short-circuit current - Example
byLeonardo ENERGY
 
Protection and control of Microgrid
byAmarjeet S Pandey
 
SUB-STATION DESIGN AND PROTECTION (AN OVERVIEW)
byAmeh Messiah Edache
 
Plcc ppt1
bySunny Gupta
 
PPT ON 33/11KV SUBSTATION
byRavi Phadtare
 
HVDC & FACTS
byBrunda R
 
Grid Interconnection of Renewable Energy Sources at the Distribution Level Wi...
byPradeep Avanigadda
 
Smart grid
byPraneeth Reddy
 
A mini project on the transmission tower
bynaqeeb04
 
Measurenments of DC Resistivity
byEngr Muhammad Imran
 

Viewers also liked

PPT
05 ptcc automation overview
byduytn1
 
PDF
Energy Management in the era of Internet of Things - Εκδήλωση "Connect to Suc...
bySchneider Electric
 
PPT
Paul Hamilton, Schneider Electric: Lean and Clean: Equipping Modern Manufactu...
byguest3e1229f
 
PDF
Safety and Cybersecurity Roadshow US 2016
bySchneider Electric
 
PDF
How Row-based Data Center Cooling Works
bySchneider Electric
 
PDF
Water solution delivers an affordable upgrade and future-proof control
bySchneider Electric
 
PDF
Arc Flash Considerations for Data Center IT Space
bySchneider Electric
 
PDF
Accelerate Mining Operations Excellence
bySchneider Electric
 
PPTX
Underground Electric Distribution System
byCity of College Station
 
PDF
How Data Center Infrastructure Management Software Improves Planning and Cuts...
bySchneider Electric
 
PDF
Industrial Automation Press Conference Hannover Messe
bySchneider Electric
 
PDF
Nigeria's blueprint for a brighter tomorrow
bySchneider Electric
 
PDF
Augmenting engagement value through communities - Schneider Electric - APQC K...
byLouis-Pierre Guillaume
 
PDF
Cyber Security resilience - what's in a number? The real threat to industrial...
bySchneider Electric
 
PDF
Foxboro Evo DCS - Εκδήλωση Explore Innovation - Αθήνα, Ιούνιος 2016
bySchneider Electric
 
PPTX
Distributech 2015 taking interoperability to the next level
bySchneider Electric
 
PDF
IIoT and how Smart Machines help shape the future
bySchneider Electric
 
PPTX
Aged Data Center Infrastructure.pptx
bySchneider Electric
 
05 ptcc automation overview
byduytn1
 
Energy Management in the era of Internet of Things - Εκδήλωση "Connect to Suc...
bySchneider Electric
 
Paul Hamilton, Schneider Electric: Lean and Clean: Equipping Modern Manufactu...
byguest3e1229f
 
Safety and Cybersecurity Roadshow US 2016
bySchneider Electric
 
How Row-based Data Center Cooling Works
bySchneider Electric
 
Water solution delivers an affordable upgrade and future-proof control
bySchneider Electric
 
Arc Flash Considerations for Data Center IT Space
bySchneider Electric
 
Accelerate Mining Operations Excellence
bySchneider Electric
 
Underground Electric Distribution System
byCity of College Station
 
How Data Center Infrastructure Management Software Improves Planning and Cuts...
bySchneider Electric
 
Industrial Automation Press Conference Hannover Messe
bySchneider Electric
 
Nigeria's blueprint for a brighter tomorrow
bySchneider Electric
 
Augmenting engagement value through communities - Schneider Electric - APQC K...
byLouis-Pierre Guillaume
 
Cyber Security resilience - what's in a number? The real threat to industrial...
bySchneider Electric
 
Foxboro Evo DCS - Εκδήλωση Explore Innovation - Αθήνα, Ιούνιος 2016
bySchneider Electric
 
Distributech 2015 taking interoperability to the next level
bySchneider Electric
 
IIoT and how Smart Machines help shape the future
bySchneider Electric
 
Aged Data Center Infrastructure.pptx
bySchneider Electric
 

Similar to Trends in Distribution Automation

PDF
[Webinar Slides] Advanced distribution management system integration of renew...
bySchneider Electric
 
PDF
Day7_SGT_Distributed Management System.pdf
bydebidasimohanty1
 
PPT
Power related issues requiring SmartGrids solutions
byEOI Escuela de Organización Industrial
 
PDF
Smart Energy Systems of Future
bySchneider Electric India
 
PPTX
De Martini DOE EAC mtg 032615
byPaul De Martini
 
PDF
Grid Protection Systems - New Technologies
byIPPAI
 
PPTX
5.3_Helping Customers Make the Most of their Energy_Barton_EPRI/SNL Microgrid
bySandia National Laboratories: Energy & Climate: Renewables
 
PDF
Smart energy summit 2019
byMoustafa Shahin
 
PDF
ADMS (Advanced Distribution Management System)
bySchneider Electric
 
PPTX
Tia summit anil kadam schneider_ smart energy solutions
byvarunmatj
 
PPT
“Head of real time and back office systems in operation”
byIMDEA Energia
 
PDF
Managing Grid Constraints with Active Management Systems
bySmarter Grid Solutions
 
PDF
The Advanced Distribution Management System (ADMS)
bySchneider Electric
 
PPTX
ABB in microgrid - Infoavond Howest - Voka - Kortrijk
byHowest_ENM
 
PDF
Digital Grid Technologies for Smooth Integration of Renewable Energy Resources
byMoustafa Shahin
 
PPTX
schneider-electric-storage.pptx
byPoooi2
 
PPTX
Automated Network Management Solution
byLandis+Gyr
 
PDF
Preparing for Distributed Energy Resources
bySchneider Electric
 
PPTX
10.6_Utility Microgrids_Reid_EPRI/SNL Microgrid Symposium
bySandia National Laboratories: Energy & Climate: Renewables
 
PDF
Martinot_Kristov_Erickson_2015
byDave Erickson
 
[Webinar Slides] Advanced distribution management system integration of renew...
bySchneider Electric
 
Day7_SGT_Distributed Management System.pdf
bydebidasimohanty1
 
Power related issues requiring SmartGrids solutions
byEOI Escuela de Organización Industrial
 
Smart Energy Systems of Future
bySchneider Electric India
 
De Martini DOE EAC mtg 032615
byPaul De Martini
 
Grid Protection Systems - New Technologies
byIPPAI
 
5.3_Helping Customers Make the Most of their Energy_Barton_EPRI/SNL Microgrid
bySandia National Laboratories: Energy & Climate: Renewables
 
Smart energy summit 2019
byMoustafa Shahin
 
ADMS (Advanced Distribution Management System)
bySchneider Electric
 
Tia summit anil kadam schneider_ smart energy solutions
byvarunmatj
 
“Head of real time and back office systems in operation”
byIMDEA Energia
 
Managing Grid Constraints with Active Management Systems
bySmarter Grid Solutions
 
The Advanced Distribution Management System (ADMS)
bySchneider Electric
 
ABB in microgrid - Infoavond Howest - Voka - Kortrijk
byHowest_ENM
 
Digital Grid Technologies for Smooth Integration of Renewable Energy Resources
byMoustafa Shahin
 
schneider-electric-storage.pptx
byPoooi2
 
Automated Network Management Solution
byLandis+Gyr
 
Preparing for Distributed Energy Resources
bySchneider Electric
 
10.6_Utility Microgrids_Reid_EPRI/SNL Microgrid Symposium
bySandia National Laboratories: Energy & Climate: Renewables
 
Martinot_Kristov_Erickson_2015
byDave Erickson
 

More from Schneider Electric

PPTX
Secure Power Design Considerations
bySchneider Electric
 
PPTX
Digital International Colo Club: Attracting Investors
bySchneider Electric
 
PPTX
32 phaseo power supplies and transformers briefing
bySchneider Electric
 
PDF
Key Industry Trends, M&A Valuation Trends
bySchneider Electric
 
PPTX
EcoStruxure™ for Cloud & Service Providers
bySchneider Electric
 
PPTX
Magelis Basic HMI Briefing
bySchneider Electric
 
PPTX
Zelio Time Electronic Relay Briefing
bySchneider Electric
 
PPTX
Spacial, Thalassa, ClimaSys Universal enclosures Briefing
bySchneider Electric
 
PPTX
Relay Control Zelio SSR Briefing
bySchneider Electric
 
PPTX
Magelis HMI, iPC and software Briefing
bySchneider Electric
 
PPTX
Where will the next 80% improvement in data center performance come from?
bySchneider Electric
 
PDF
EcoStruxure for Intuitive Industries
bySchneider Electric
 
PDF
Systems Integrator Alliance Program 2017
bySchneider Electric
 
PDF
EcoStruxure, IIoT-enabled architecture, delivering value in key segments.
bySchneider Electric
 
PDF
It's time to modernize your industrial controls with Modicon M580
bySchneider Electric
 
PPTX
A Practical Guide to Ensuring Business Continuity and High Performance in Hea...
bySchneider Electric
 
PPT
Connected Services Study – Facility Managers Respond to IoT
bySchneider Electric
 
PDF
Telemecanqiue Cabling and Accessories Briefing
bySchneider Electric
 
PDF
Telemecanique Photoelectric Sensors Briefing
bySchneider Electric
 
PDF
Telemecanique Limit Switches Briefing
bySchneider Electric
 
Secure Power Design Considerations
bySchneider Electric
 
Digital International Colo Club: Attracting Investors
bySchneider Electric
 
32 phaseo power supplies and transformers briefing
bySchneider Electric
 
Key Industry Trends, M&A Valuation Trends
bySchneider Electric
 
EcoStruxure™ for Cloud & Service Providers
bySchneider Electric
 
Magelis Basic HMI Briefing
bySchneider Electric
 
Zelio Time Electronic Relay Briefing
bySchneider Electric
 
Spacial, Thalassa, ClimaSys Universal enclosures Briefing
bySchneider Electric
 
Relay Control Zelio SSR Briefing
bySchneider Electric
 
Magelis HMI, iPC and software Briefing
bySchneider Electric
 
Where will the next 80% improvement in data center performance come from?
bySchneider Electric
 
EcoStruxure for Intuitive Industries
bySchneider Electric
 
Systems Integrator Alliance Program 2017
bySchneider Electric
 
EcoStruxure, IIoT-enabled architecture, delivering value in key segments.
bySchneider Electric
 
It's time to modernize your industrial controls with Modicon M580
bySchneider Electric
 
A Practical Guide to Ensuring Business Continuity and High Performance in Hea...
bySchneider Electric
 
Connected Services Study – Facility Managers Respond to IoT
bySchneider Electric
 
Telemecanqiue Cabling and Accessories Briefing
bySchneider Electric
 
Telemecanique Photoelectric Sensors Briefing
bySchneider Electric
 
Telemecanique Limit Switches Briefing
bySchneider Electric
 

Recently uploaded

PPTX
Aix-Marseille Université Diploma
by美国加利福尼亚州立理工大学波莫纳分校学位证书补办【Q微号:1954 292 140】CPP毕业证购买
 
PPTX
Network intrusion detection system .pptx
byvenomghost09082000
 
PPTX
22PEOIT4C Session 1 Introduction to AI and intelligent agents.pptx
bymailmegokilavani
 
PPTX
The Complete Guide to Energy Audits_ Unlocking Savings, Sustainability, and P...
bygreentechnexus2024
 
PDF
Nostr : A protocol for freedom of speech
byEmre YILMAZ
 
PPTX
Track & Monitor Preventive Maintenance — Best Practices with MaintWiz CMMS
byMaintWiz Technologies Private Limited
 
PPTX
22PEOIT4C Session 4 Breath First Search & Depth First Search.pptx
bymailmegokilavani
 
PPTX
Engineering Economics CHAPTER 4.pptx - R
byMisgnaArefe
 
PDF
Sensor & Instrument MODULE 3 REVISION PPT.pdf
by26dsyogam
 
PPTX
Industrial Smart Ventilation system.pptx
byfsanjay42
 
PDF
Hybrid Anomaly Detection Mechanism for IOT Networks
byIJCNCJournal
 
PPTX
Introduction to Civil Engineering-Defination, Branches of civil engineering a...
byvidyanand kadam
 
PPTX
22PEOIT4C Session 7 A searching algorithm.pptx
bymailmegokilavani
 
PDF
chapter 30 inductance chương trình tiên tiến bách khoa.pdf
byconbohai1500
 
DOCX
Project Management(BOE 070) notes Unite 4 AKTU
by26dsyogam
 
PPTX
MODULE 1-UNIT_1.pptx MODULE 1-UNIT_1.pptx MODULE 1-UNIT_1.pptx
bypavanscholar123
 
PPTX
UNIT -3 -DIGITAL AND MOBILE FORENSICS FORENSIC READINESS-.pptx
byjemimaa3
 
PDF
3rd International Conference on AI & Civil Engineering (AICiViL 2025)
byieijjournal
 
PPTX
Optimizing Operations: Key Elements of a Successful Plant Maintenance Plan — ...
byMaintWiz Technologies Private Limited
 
DOCX
Buy Facebook Ads Accounts_ Boost Your Professional ....docx
bytopusapro.com
 
Aix-Marseille Université Diploma
by美国加利福尼亚州立理工大学波莫纳分校学位证书补办【Q微号:1954 292 140】CPP毕业证购买
 
Network intrusion detection system .pptx
byvenomghost09082000
 
22PEOIT4C Session 1 Introduction to AI and intelligent agents.pptx
bymailmegokilavani
 
The Complete Guide to Energy Audits_ Unlocking Savings, Sustainability, and P...
bygreentechnexus2024
 
Nostr : A protocol for freedom of speech
byEmre YILMAZ
 
Track & Monitor Preventive Maintenance — Best Practices with MaintWiz CMMS
byMaintWiz Technologies Private Limited
 
22PEOIT4C Session 4 Breath First Search & Depth First Search.pptx
bymailmegokilavani
 
Engineering Economics CHAPTER 4.pptx - R
byMisgnaArefe
 
Sensor & Instrument MODULE 3 REVISION PPT.pdf
by26dsyogam
 
Industrial Smart Ventilation system.pptx
byfsanjay42
 
Hybrid Anomaly Detection Mechanism for IOT Networks
byIJCNCJournal
 
Introduction to Civil Engineering-Defination, Branches of civil engineering a...
byvidyanand kadam
 
22PEOIT4C Session 7 A searching algorithm.pptx
bymailmegokilavani
 
chapter 30 inductance chương trình tiên tiến bách khoa.pdf
byconbohai1500
 
Project Management(BOE 070) notes Unite 4 AKTU
by26dsyogam
 
MODULE 1-UNIT_1.pptx MODULE 1-UNIT_1.pptx MODULE 1-UNIT_1.pptx
bypavanscholar123
 
UNIT -3 -DIGITAL AND MOBILE FORENSICS FORENSIC READINESS-.pptx
byjemimaa3
 
3rd International Conference on AI & Civil Engineering (AICiViL 2025)
byieijjournal
 
Optimizing Operations: Key Elements of a Successful Plant Maintenance Plan — ...
byMaintWiz Technologies Private Limited
 
Buy Facebook Ads Accounts_ Boost Your Professional ....docx
bytopusapro.com
 
In this document
Powered by AI

Introduction of the optimization focus by Ron Chebra in distribution network operations.

Overview of key industry trends: software consolidation, IT & OT convergence, data analytics, energy efficiency, and the management of distributed renewable energies.

Discussion on various system platforms (SCADA, OMS, DMS, EMS, DERMS) for integrated network management, highlighting their functionalities.

DERMS enhances visibility and management of distributed resources, enabling efficient operation and stability for grid assets.

Cloud-based platforms for managing energy resources through demand response and optimizing tariff incentives.

The integration of IT and OT systems enhances utility operations through improved control, communication, and automation.

Discussion on voltage profile management, capacitor usage, and the role of advanced distribution systems in achieving efficiency.

The classification of distributed resources, including microgrids and their components, emphasizing characteristics and applications.

Examination of utilities leveraging DERs to meet regulatory requirements, enhance stability, and explore economic opportunities.

Case study illustrating operational scenarios of microgrids and DERs in managing faults, load balancing, and restoration.

Encouragement of questions post-presentation and contact information provided by Ron Chebra.

Trends in Distribution Automation

  • 1.
    Optimizing Distribution NetworkOperations Ron Chebra– Principal, Utility Consulting Services
  • 2.
    Leading Industry Trends ●Consolidation of software platforms GIS, Planning, DMS, SCADA, OMS, EMS ● Convergence of IT & OT Corporate IT and Operations IT silos ● Enterprise integration and Mobility Sharing data throughout the enterprise and field ● Big data (from several new sources) and Analytics More intelligent devices, smart meters, data warehouse ● Operational asset management and optimization Leveraging new techniques for efficient use of assets ● Energy efficiency throughout the value chain Network optimization, power control, demand response ● Managing distributed renewable energy (DER) Increase in wind and solar with high intermittency Today’sDiscussionFocus
  • 3.
    SCADA Alarming, Tagging, Trending, Monitoring & Control OMS Incident, fault, customercall, switching, and crew mgmt and reporting DMS Network automation, FLISR, VVO, Energy Losses, Relay Protection EMS Transmission & Generation, AGC, Economic dispatch, Unit commitment DERMS Distributed Energy Resource Management, Load & power forecasting Geographic Information Systems, Common Infrastructure, Data Model, Security, History, User Interface ADMS is a comprehensive network management solution with monitoring, analysis, control, optimization, planning and training tools sharing a common infrastructure, data model, and user experience Platform Consolidation is happening Platform Consolidation
  • 4.
    Geographic Information System(GIS) is a “core” building block ● Initial layout and design ● Model Feeder topology by phase ● CIM Adapter ● Graphic Work Design integrated with WMS and EAM ● Web, Desktop, Mobile ● Engineering Validation ● Supposed to eliminate “Overbuild” to save costs Platform Consolidation
  • 5.
    SCADA, Telemetry andControl ADMS – Enhanced SCADA. New or traditional displays Platform Consolidation
  • 6.
    Outage Management -OMS ADMS – OMS, AMI and IVR Integration, Prediction Platform Consolidation
  • 7.
    Platform Products Service Infrastructure DistributionPower Applications – Function Execution ADMS – DMS functionality with list of power applications Platform Consolidation
  • 8.
    Energy Management Systems AutomaticGen Control Scheduling Scheduling Visualization Platform Consolidation
  • 9.
    Distributed Energy ResourceManagement (DERMS) Platform Consolidation DERMS is a software-based solution that increases an operator’s visibility in near real time into its underlying distributed resource capabilities distributed generation including renewables, distributed storage, load actions and resource management, demand response, etc. Through such a system, distribution utilities have heightened control and flexibility necessary to more effectively manage the technical challenges posed by an increasingly distributed grid assets and their operating characteristics.
  • 10.
    Microgrid Controller &Event Management Reactive DER management Ensures microgrid real time stability & reliability Manage of connect/disconnect from the grid Optimize energy production & use StruxureWare Demand Side Operation Microgrid Controller Demand response requests Energy market pricing Weather forecast Client Constraints Predictive DER management Forecast when to produce, store or sell energy Interface with energy markets Accessible from anywhere DER Box Platform Consolidation
  • 11.
    Demand-Side Operations -DSO 1 2 3 DER Box Customer constraints Weather forecast DR request 1 2 3 Platform Consolidation $ Market prices
  • 12.
    StruxureWare™ Demand SideOperation • Cloud based platform for managing Microgrid Distributed Energy Resources • SW DSO collects • Microgrid energy data • Weather forecasts (DTN) • Market based energy pricing • Manages DER to optimize: • Demand-response programs • Tariff-based incentives • Self consumption • Coordinates communication with the smart grid • Demand response requests • Acknowledge, accept, reject • Confirmation of action, payments, verification Advanced algorithms help making fast decisions about cost-saving opportunities Battery Charging and Discharging Optimization based on Demand Relief and Economic Conditions Platform Consolidation
  • 13.
    Realtime Bus Advanced DistributionManagement System DMSSCADA OMS EMS DERMSMWFM OAM Feeder AutomationSubstation Automation Enterprise Bus ERP Energy Market GIS Network Mgmt AMI Weather MDM Behind theMeter Common Platform UI Model SecurityHistoryData Utility IT/OT Solution DER/Microgrid Automation IT/OT Convergence
  • 14.
    Utilities are adoptingsolutions that leverage the connectedness of “things” (IoT, or Grid of Things GoT) 14 Smart Field Controllers Advanced Distribution Management Systems PQ meters Remote Terminal Units Faulted Circuit Indicators Relclosers Making greater use of intelligent end devices (IED) Leveraging more and greater field intelligence Deploying communication networks that link devices to devices and to control systems Integrating self-healing distribution networks Providing layers of information interchange at the control room and in the field Intelligence, Communication and Control are essential elements of the solution to provide the service required IT/OT Convergence
  • 15.
    An Example ofGrid of Things Challenges Focus Areas Integrated Solutions Devices and Tools 15Source: Schneider Electric IT/OT Convergence
  • 16.
    Voltage Profile –Power at substation diminishes over distance Lower Regulatory Limit 114v Upper Regulatory Limit 126v VVO and Capacitors flatten profile allowing voltage reduction Existing Flattened Profile after VVO Lower Voltage to Reduce MWs CVR/VR FeederVoltage Feeder Length Voltage and VAR Control ADMS+Capacitors and LTC Efficiency leveraging the value chain
  • 17.
    Recloser 3 Recloser 4 2D FeederRecloser 2 2B 2A 1A Recloser 2 1D 1B Feeder Recloser 1 2C 1C B Recloser executes a trip and goes to lockout. Feeder Recloser Trips and Locks Open Closed Tripped Switchgear Live Dead Line Modbus Trip Request Roles Change, Protection Groups and “Direction of flow” Tie Recloser Modbus Close Request Recloser 1 B+SS BB+SS Substation 1 Appropriate Reclosing Tie Point is Closed. Now a Recloser in scheme Loop Automation Activation Delay timers start due to a loss of supply. > Fault isolated, with capacity check > Power restored to unfaulted sections in less than 1 minute > No operator intervention Safety: No re-energizing into fault Distribution Automation - Switching and Reclosing Substation 2 Recloser Efficiency leveraging the value chain
  • 18.
    Confidential Property ofSchneider Electric Efficiency leveraging the value chain
  • 19.
    From a UtilityPerspective, Distributed Resources may be any one of these, regardless of size and scale • Non Renewable Predictable and Controllable Distributed Generation Resources (DG) - Microturbines, CHP, Fuel Cells, etc. that have know ramp times, capacity and availability – Key Characteristic – They can be located remotely and placed near loads • Wild Distributed Energy Resources Renewable (wDERr)– Solar or Wind Farms that leverage natural resources to generate energy – Key Characteristic – Intermittent and Variable due to natural conditions • Tamed Distributed Energy Resources Renewable (tDERr)– Solar or Wind Farms that are augmented with energy storage to mitigate intermittency – Key Characteristic – Smoothing may be limited to storage type, AH capacity, and cycling • Microgrids (MG)- “A group of interconnected loads and distributed energy resources (DER) with clearly defined electrical boundaries that acts as a single controllable entity with respect to the grid [and can] connect and disconnect from the grid to enable it to operate in both grid-connected or island mode.” - Department of Energy – Key Characteristic – Operate in either grid connected or islanded mode depending on conditions or situations Distributed Resources
  • 20.
    Minutes Seconds Distributed Resources Assetrun time and fuel source make these assets very useful for many applications; however ramp time and other factors, such as EPA restrictions many limit their use
  • 21.
    Wild Distributed EnergyResources- Renewables Distributed Resources
  • 22.
    Wild DER +Storage = Tamed DER Distributed Resources
  • 23.
    Source: Adapted from EPRI Institutionalcampus e.g. university, hospitals >20 MW ~5 to 15 MW ~2 to 5 MW ~ 10K to 2 MW Communities tied to the larger utility grid Microgrids Distributed Resources
  • 24.
    What are someof the components of a typical MicroGrid? 24 Gen Set Micro- Turbine Battery Storage Wind Turbine PV Panel Arrays DC/AC Inverters DC/AC Inverters Battery Charging Systems Controller Controller Micro Grid Controller Intelligent Switch Power Status Command Control PCC Point of Common Coupling Schneider Electric Components Distributed Resources
  • 25.
    DER and Microgrid:Utility Adoption Rationale and Applicability Rationale DG ($-$$$) Wild DER- R ($) Tamed DER ($$) M Grid ($$$) 1. Alternative to new centralized peak generation plant 2. Alternative to new sub-transmission lines or stations 3. Alternative to new Distribution Substations 4. Distribution Grid Resiliency 5. Distribution Grid Stability 6. Meeting Renewables Mix Objectives 7. Support Economic Development 8. PUC Regulatory Political Anticipation 9. Customer Retention – Avoid Defection 10. New Business Expansion for Utility SCALE Most Applicable Likely Applicable Partially Applicable Least Applicable Distributed Resources
  • 26.
    Confidential Property ofSchneider Electric Utility DER as…. 1) Alternative to new centralized peak generation plant > Drivers – Green Alternative to boost your mix of clean energy – Fuel Diversity – Locate power close to loads – Multiple small scale source vs. one large source – Supply can be aligned with load requirements and scale – Does not involve additional (sub)transmission connections – Connects to MV Distribution System – Alternative to Centralized VVO/CVR-type Optimization > Examples > LIPA/PSE&G power service for peak relief at end of Long Island > California AB-2514 PUC energy storage mandate to manage the “duck curve” demand ramp > Key Requirements: > Dispatch controllable, predictable, AGC > Anywhere where peak service or relief of asset overloading is required
  • 27.
    Confidential Property ofSchneider Electric Utility DER as…. 2) Alternative to new sub-transmission lines or stations > Drivers – Green Alternative – Supply a seasonal or transient peak for a targeted area – Supply a area of demand growth – May be much more economical than building new Transmission lines/stations/connections – Fewer permits and ROWs – Anywhere where peak service or relief of asset overloading is required – DR+ instead of DR- = greater control • Examples – LIPA/PSE&G power service for peak relief at end of Long Island • Key Requirements – Base and Peak Demand – Peak Energy Need – Localized and Distributed – Voltage and Frequency Support
  • 28.
    Confidential Property ofSchneider Electric Utility DER or Microgrid as…. 3) Alternative to new Distribution Substations > Drivers – Green Alternative – Right size supply needs where needed on distribution system – Does not require transmission tap – Installs where needed, on distribution system near loads – Easier to install and operate – Reduce overloading during peaks – Connects to MV Distribution System – Alternative to Centralized VVO/CVR-type Optimization – DR+ instead of DR- = greater control and revenue • Examples – ConEdison BQM Load Relief • Key Requirements – Base and Peak Demand – Localized and Distributed – Voltage and Frequency Support – Controllable and Reliable – Supply and Island
  • 29.
    Confidential Property ofSchneider Electric Utility Microgrid as…. 4) Distribution Grid Resiliency > Drivers – High availability resource to recover – Community/Emergency Services • Fire, Police, Pharm, Food, Fuel, Communications – Utility supports important to constituents/municipalities – Grid Hardening – Black Start Support of Distribution System – Ability to supply Islands within the distribution system • Examples – Department of Energy and Environmental Protection (DEEP) – Connecticut Microgrid Funding – NY Prize Program • Key Requirements – Island and Black Start
  • 30.
    Confidential Property ofSchneider Electric Volt/VAR Response Source: SWIG Report 1/2014 Utility DER or Microgrid as…. 5) Distribution Grid Stability > Drivers – Distribution Frequency Support – Distribution Voltage Support – Distribution VAR Support – Alternative to Capacitors and Voltage Regulation (which require work now) – Storage + DER can smooth variable supply of renewable sources – Can supply Islands in the distribution system during a macro disruption • Examples – Commonwealth Edison – Shedd Aquarium – Puerto Rico • Key Requirements – VAR Injection – Voltage Support – Fast Frequency Support Frequency Ride Through Source: SWIG Report 1/2014 Voltage Ride Through
  • 31.
    Confidential Property ofSchneider Electric Utility DER or Microgrid as…. 6) Meeting Renewables Mix Objectives > Drivers – Political and Regulatory bodies will drive States which will drive Utilities to reduce traditional carbon-based resources and increase renewables • EPA, State, PUC, City Council…. – EPA Clean Power Plan • Sweeping reductions by 2030 – RPS Renewable Portfolio Standard • Typically 20-30% for variable renewables – Progressive image for Utility or offer new programs (community solar) • Examples – Southern California Edison – Preferred Resources Program (100MW) – Massachusetts DOER Renewable Energy Portfolio programs • Key Requirements – Regulatory – Support Planet-Climate Change – Holistic optimization and control of DERs
  • 32.
    Confidential Property ofSchneider Electric Utility DER or Microgrid as…. 7) Support Economic Development > Drivers – Basis for Smart Cities – Socially Responsible Development – Support the Prosumer – Leverage additional funding channels • Developer Investment • Municipal Investment • Private Equity funding of CHP/MG/DER – Provide right amount of power now, with scalable future – Green and Progressive Image for Coop, Muni or IOU – Make your system attractive to new or expanding industry • Examples – Hoboken NJ, – Philadelphia Navy Yard, – Brooklyn Army Terminal, – BGE support of municipals, others • Key Requirements – Meet system growth demands – Meet Sustainability – Utility able to absorb operation into their business process (DERMS) – Good management tools and processes
  • 33.
    Confidential Property ofSchneider Electric Utility DER or Microgrid as…. 8) PUC Regulatory Political Anticipation > Drivers – Pilot or Demonstration Program conducted ahead of regulatory mandates or drivers – Gain Experience and Lessons – Prove operational concept with utility control center, load operators and field operations – Validate Infrastructure required to support • Technology • Personnel • Operational Processes • Examples – NY REV – Oncor (MicroGrid Demo Center) – Duke (COWI and II) – CPS Energy (VIP) • Key Requirements – Prove Storage application on distribution system – Integration with existing systems – Use of new communications Architectures – Ability to test and simulate
  • 34.
    Confidential Property ofSchneider Electric Utility DER or Microgrid as…. 9) Customer Retention – Avoid Defection > Drivers – Customers are going to choose MG/DER alternatives for themselves – Provide more reliable, resilient power – Add new revenue stream, within regulatory constraints – Make it happen vs. What happened? – Utility in Control of technologies – Optimize Rate Structures (TOU vs. Flat Rate) – Avoid loss of revenue from customers going “off grid” as well as “out of grid” • Examples – Shedd Aquarium – Walmart • Key Requirements – Supply close to load – Co-Ownership – New PPAs – New SLAs – New Partners
  • 35.
    Confidential Property ofSchneider Electric Utility DER or Microgrid as…. 10) New Business Expansion for Utility > Drivers – Un-Regulated side of IOU. Marketplace not constrained to regulated business areas – Community Microgrid/DER at Muni or Coop – Utility has skills and tools to manage this better than 3rd party – Consumers “trust” utility to manage power systems • Examples – Duke Engineering Services (non-reg side) – Expansion of previous “Back Up Gen” services into Microgrids • Key requirements – Utility willingness to pursue new business areas – Regulation supports these “expansions” of the distribution system
  • 36.
    Now that utilitiesincreasingly using Distributed Energy Resources, as “grid assets”, the use of “traditional” DA techniques must now be modified to include these elements and their capabilities to optimize the performance and fault management of feeders. Recloser Reclosers Feeder Recloser 1 Tie Recloser Recloser Feeder Recloser Recloser Cap Bank Cap Bank Voltage Reg Voltage Reg Cap Bank Substation Transformer, Capacitor Bank, Voltage Regulator MicroGrid Wild DER Advanced DMS/PCS Storage
  • 37.
     A givenfeeder (e.g. 101) serves residential and commercial customers, who have Advanced Metering Infrastructure (AMI)  There is a community area that is operating as a MicroGrid,  The utility has customers subscribed to a demand response program that can provide emergency load reduction  The feeder is configured in a “loop” with a Tie switch that can connect an alternate feeder (e.g. 212) for supply  This feeder is equipped with remotely controllable cap banks, midpoint switches and reclosers  The utility has an Advanced Distribution Management System (ADMS) and all devices are connected to a network Situation: Example: Feeder with a community that is a MicroGrid How can information, access and centralized operation along with a neighborhood microgrid, improve the operation of Fault Location, Isolation and Supply Restoration (FLISR) on a distribution feeder?
  • 38.
    Confidential Property ofSchneider Electric Our Feeder is configured in a loop with alternate supply. It also has a Community based Microgrid along with Demand Response Subscribers. R S S T R S S Feeder 212 Feeder 101 “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 5 MW Need 4 MW produced locally S 10 MW18 MW 6 MW Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Normal Conditions 30 MW 34 MW
  • 39.
    Confidential Property ofSchneider Electric Assume a Permanent Fault occurs in section “A” R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 5 MW Need 4 MW produced locally S 10 MW18 MW 6 MW Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO FAULT Feeder 212 Feeder 101 30 MW 34 MW
  • 40.
    Confidential Property ofSchneider Electric Recloser locks out after multiple attempts – sections A B and C are without power, AMI last gasp verifies outage in impacted areas; Microgrid is isolated; all status is communicated to Headend R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 5 MW Need 4 MW produced locally S 10 MW18 MW 6 MW Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Fault Conditions Feeder 212 Feeder 101 0 MW 34 MW
  • 41.
    Confidential Property ofSchneider Electric The Community, under DSO control, reduces non critical loads to balance supply and demand; Fault is isolated to section A, capacity is checked at feeder 212 R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 5 MW Load 4 MW produced locally S Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Fault Conditions Feeder 212 Feeder 101 0 MW 10 MW18 MW 6 MW 34 MW 4 MW Load
  • 42.
    Confidential Property ofSchneider Electric R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 4 MW Load 4 MW produced locally S Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Fault Conditions However, feeder 212 needs to reduce its load by 3 MW in order to also serve the load on B and C, so the ADMS does a DR call to reduce loads on X; Y and Z Feeder 212 Feeder 101 0 MW 10 MW 18 MW 6 MW 34 MW
  • 43.
    Confidential Property ofSchneider Electric R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 4 MW Load 4 MW produced locally S Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Fault Conditions ADMS Verifies load reduction on Feeder 212 through AMI and sensing at the switches; protection settings on Tie and switches and the recloser on Feeder 212 are changed Feeder 212 Feeder 101 0 MW 9 MW17 MW 5 MW 31 MW
  • 44.
    Confidential Property ofSchneider Electric S T R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 4 MW Need 4 MW produced locally S 9 MW17 MW 5 MW Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Feeder 212 Feeder 101 0 MW 45 MW ADMS Closes Tie Switch and energizes healthy section B and C; Community remains Islanded; restoration of section B and C is verified through AMI messages Partial Restoration
  • 45.
    Confidential Property ofSchneider Electric Fault is cleared - Tie opened, Feeder 101 Recloser and switch restored, all DR events are cancelled, Protection schemes restored, Restoration verified by AMI, DSO Restores Normal Conditions with MicroGrid R S S T R S S T R S S “A” “B” “C” “X” “Y” “Z” 16 MW 6 MW 8 MW 5 MW Need 4 MW produced locally S 10 MW18 MW 6 MW Closed Open R – Recloser S – Switch T – Tie Connection ADMS DERMS/ DSO Normal Conditions Feeder 212 Feeder 101 30 MW 34 MW
  • 46.
    Summary of events Recloserquickly isolates faults; Community is islanded AMI verifies fault location via “last gasp” and by switch information ADMS verifies capacity to switch load, since more supply is needed, a DR call is made to Feeder 212 AMI verifies load reduction on Feeder 212 Tie switch is energized to supply un-effected segments Fault is more quickly fixed Normal service is restored AMI meters are “pinged’ to verify no nested outages exist after restoration Fewer customers impacted by a fault, the community remains light through islanding and reconfiguration happens in minutes Circuit is protected from back feed Since the fault is isolated to smaller area, restoration happens faster Crews do not have to be re- dispatched to field
  • 47.
  • 48.
    Thank You Page 48 ConfidentialProperty of Schneider Electric | Ron Chebra Ron.Chebra@Schneider-Electric.com +1 609-865-0166