Advanced Distribution
Management System
Integration of Renewables
and Storage
Analyse, control, and optimise renewables an...
Key Learning Objectives
● Learn how renewables and distributed energy resources can impact an
electric distribution system...
the global specialist
in energy management
Some of the world class brands that we have
built or acquired in our 175 year h...
ADMS/PCS Projects Worldwide
NIH, Washington DC, USA
EPCOR,
AB, Canada
BC Hydro,
BC, Canada
Austin Energy,
Texas
Burbank W&...
Utility Transformation
How do you expect utility business models to be in 2030 compared to
today in your market?
Utility Transformation
Which energy market transformation vision most closely matches your
expectations of your market?
Definitions
● Distributed Generation (DG)
● Dispersed generation, typically less than 10 MW, in the distribution network
●...
Poll Question 1 – Preparedness
●How prepared is your utility for integration and optimization of
renewables and storage?
●...
Energy Storage in the Network
● Storage provides benefits in the distribution network:
● Storing of active power
● Flatten...
Impact on Profile
● Impact on profile (left lower corner, gray area is stored energy, while
gray area in peak hours denote...
Definitions Continued
● Demand Response (DR)
● Management of consumption, anywhere along a feeder, in response to
supply c...
The Advanced DMS

Convergence of
DMS, OMS, and
SCADA

Monitoring,
analysis, control,
optimization,
planning, and
training
...
ADMS Functionality















Real-time Simulation
Off-line Simulation
What-if Analysis
Historical Playbac...
ADMS/PCS Projects Worldwide
NIH, Washington DC, USA
EPCOR,
AB, Canada
BC Hydro,
BC, Canada
Austin Energy,
Texas
Burbank W&...
Renewable Resource Commitment

● In June 2007, seeks to obtain
Burbank now the Burbank City
66% of adopted from
Council el...
Renewable Resource Variability
185 MW
170 MW

10 MW
20 MW
Integrated ADS Business Objectives
● Integrate Demand and Supply resources into the realtime and
day-ahead operations at B...
Integrated Automatic Dispatch System
(iADS)
Weather Service
(Schneider Elec)

Wholesale Markets
Balancing Authority

Tradi...
Poll Question 2 – Main Drivers
●At your utility, what are the main drivers for integration and
optimization of renewables ...
The DG/DER Challenge
● Integration of renewables and storage is a challenge for networks
designed to operate in the “class...
Problems Created By DG and DER in
the Network
● Without ADMS, DG/DER’s in the network introduce several dilemmas
for engin...
Current Situation
Wind
Generation

Buildings

???

Weather
Stations

Distribution utilities face new challenges

Solar
Pan...
DG/DER Visualization and Monitoring
● Visualization
● Geographic, schematic, substation views
● Filtering by and search by...
DG/DER Analysis and Forecasting
● Over generation
● Violation of upper limits for active/reactive power generation
● Predi...
WeatherSentry
● Weather imposes the largest external impact on your Smart Grid
● Demand, renewable energy supply, and outa...
Schneider Electric – Dominant Weather
Provider to the Energy Industry in North
America
● 70% of generation in U.S.
● Large...
Forecasting Accuracy Results
Typical results for a single wind plant

Forecast Horizon
Hour-ahead to next 12 hours

Day-ah...
Improved Accuracy Gives Large ROI
A Customer Perspective of Wind Power Forecast Value
● Day Ahead Forecasting Error Theory...
Forecasting of Ramp Events
● Uses an ensemble approach to ramp probability
● The WindLogics forecasting system outputs pre...
DTN Solar Forecasting Experience
Providing solar irradiance
forecasts to many utilities
for load forecasting

Utility-scal...
Schneider Electric’s Solar Capabilities
● Schneider Electric provides a leading inverter solution, and is a solar
integrat...
Benefits of Solar Forecasting System
●Integrate solar successfully
●Schedule power and maintain system reliability
●Utiliz...
DTN Solar Benefits
●Provides outstanding irradiance accuracy
●Reliable delivery
●Energy weather experts, with the resource...
ADMS Operation & Optimization of DER
● Dispatch (reliability, economic)
● Dispatch entire network or localized areas
● Inc...
Steps to Solving the DG/DER Problems
1. Provide full visibility of network state with DG/DER; to increase
network awarenes...
1. Full visibility of network state
● A comprehensive task which requires modeling of DG/DER with
appropriate models:
● Lo...
Full Network State Visibility
Voltage Profiles – no DG (open)
Voltage Profiles – with DG (closed)
Short Circuit Current
Near Term Operation Planning
supported by Weather Forecast Inputs
2. DG/DER Planning
● What will happen if we add a new unit
● Run analysis before adding unit in the network
● One possibil...
Planning Variants
S1.0 - DGmaxLoadmax

No problem

S2.0 - DGminLoadmin

No problem

S3.0 - DGmaxLoadmin

S3.1 Volt/VAR Opt...
DG Influence on Network Design
State with DGmax, Lmin – Voltage Problem
DG Influence on Network Design
State with DGmax, Lmin – VVO Solution
DG Influence on Network Design
State with DGmin, Lmax – Overload Problem
DG Influence on Network Design
State with DGmin, Lmax – NR Solution
DG Influence on Network Design
State with DGmin, Lmax – Energy Storage Solution
3. Microgrid Optimization
HV BUSBAR

SUPPLY TRANSFORMER
OR
TIE LINE

Weather
Information + Forecast

MV BUSBAR

LOAD CONSU...
Microgrid Management with ADMS
●
●
●
●
●

Provide monitoring of microgrid level resources
Identify capabilities of generat...
Island Operation?
● Real islanding (no connection with main grid) is typically forbidden
● Possible, but not primary goal
...
Application Support for Microgrids
● Applications:
● Automatic Generation Control – AGC
● Economic Dispatching – ED
● Unit...
Managing and Optimizing DG with ADMS
● Complete, real-time and off-line model of the distribution grid
● Insight into grid...
Summary
●Schneider Electric has a long history of applying technology
to solve complex problems for utilities
●Advanced sy...
Thank You!
John Dirkman, PE
Sr. Product Manager
Schneider Electric
john.dirkman@schneider-electric.com
http://www.linkedin...
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[Webinar Slides] Advanced distribution management system integration of renewables and storage

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Slide deck of the webinar presented by John Dirkman on Oct. 23, 2013.

The presence of highly variable renewables and distributed energy resources is rapidly increasing within distribution systems, resulting in the potential for problems like reverse power flow, impact on voltage profile, and more complex protection schemes.

During this webinar, John Dirkman, Senior Director of Smart Grid Strategy & Development at Schneider Electric, explored how an Advanced Distribution Management System (ADMS), combined with an accurate weather forecasting system, can be used to resolve problems and increase benefits of both renewables and distributed energy resources.

Key Learning Objectives:
- Learn how renewables and distributed energy resources can impact an electric distribution system.
- Discover ways to manage and optimize renewables and distributed energy resources using ADMS.
- Integration of an accurate weather forecasting system with ADMS maximizes benefits from renewables.
- Distributed energy resources and demand response are components of microgrids, also managed by ADMS.

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[Webinar Slides] Advanced distribution management system integration of renewables and storage

  1. 1. Advanced Distribution Management System Integration of Renewables and Storage Analyse, control, and optimise renewables and energy storage systems within the distribution network John Dirkman, PE Sr. Product Manager, Schneider Electric john.dirkman@schneider-electric.com http://www.linkedin.com/in/dirkman 23 October 2013
  2. 2. Key Learning Objectives ● Learn how renewables and distributed energy resources can impact an electric distribution system ● Discover ways to manage and optimise renewables and distributed energy resources using ADMS ● Maximize benefits from renewables by leveraging integration of an accurate weather forecasting system with ADMS ● Learn how microgrids, with distributed energy resource and demand response components, are managed and optimized by ADMS
  3. 3. the global specialist in energy management Some of the world class brands that we have built or acquired in our 175 year history A global company $31 billion sales in 2012 41% of sales in new economies 140,000+ people in 100+ countries committed to innovation 4-5% of sales devoted to R&D ~$1.5 billion devoted to R&D Delivering Solutions for End Users Utilities & Infrastructure 25% Industrial & machines 22% Data Centers 15% Non-residential buildings Residential 29% 9%
  4. 4. ADMS/PCS Projects Worldwide NIH, Washington DC, USA EPCOR, AB, Canada BC Hydro, BC, Canada Austin Energy, Texas Burbank W&P, California Duke/Progress Enrgy, North Carolina CFE, Zona Puebla City, Mexico EMCALI, Cali, Columbia Petroproduccion, Ecuador MEER, Ecuador EDELNOR, Lima, Peru EPS, Serbia UofM, Michigan Elektro Celje, Slovenia Dong Energy, Hydro One, Denmark ON, Canada ENEL, NS Power, Italy NS, Canada PECO, Philadelphia Railway project, Murcia, Spain CNFL, San Jose, Costa Rica STEG, Tunisia ELECTRA, Panama City, Panama Energoprom, Novocheboksary Russia IDGC Center Russia, Moscow, Russia Irkutsk, Russia EMASZ / ELMU, Budapest, Hungary Guizhou Electric Bihar, Electrica, Cluj, Corporation, China India Romania Guangxi Power, EVN, China Macedonia UAE Medina, Saudi Arabia Light Services de Electricitade, Rio de Janeiro, Brazil EPS Serbia EDEN, Buenos Aires province, Argentina PT-PLN, Bandung, Indonesia ACTEW, Canberra Australia Unison, New Zealand EPRS EDENOR, Buenos Aires, Argentina ANDE, Asuncion, Paraguay Maharashtra, India PT-PLN, Banda Aceh, Indonesia Abu Dhabi, B&H EPCG Montenegro Over 180 control centers and 88M meters ETSA, Adelaide Australia
  5. 5. Utility Transformation How do you expect utility business models to be in 2030 compared to today in your market?
  6. 6. Utility Transformation Which energy market transformation vision most closely matches your expectations of your market?
  7. 7. Definitions ● Distributed Generation (DG) ● Dispersed generation, typically less than 10 MW, in the distribution network ● Controllable DG: Combined Heat and Power, Generators, ~Hydro ● Non-controllable DG: Wind and Solar ● Energy Storage Systems (ES) ● Battery Banks, Compressed Air Systems, Thermal Storage Systems ● Distributed Energy Resources (DERs) ● Combination of DG and ES, located throughout the distribution network Power Resource Generators Wind Solar Interties Battery Banks Electric Vehicles Compressed Air Systems Thermal Storage Systems Demand Response Type* Supply Supply Supply Supply/Demand Supply/Demand Supply/Demand Supply/Demand Demand Demand Controllable? Yes No No Yes Yes Yes Yes Yes Yes * Supply-side provides power, Demand-side consumes power or affects consumption
  8. 8. Poll Question 1 – Preparedness ●How prepared is your utility for integration and optimization of renewables and storage? ●Please select one: 1. 2. 3. 4. 5. 6. Just getting started [38%] Somewhat prepared [15%] Fairly well prepared [15%] Completely prepared but not yet fully integrated and optimized [1%] We are already integrating and optimizing renewables and storage [7%] Unknown [24%]
  9. 9. Energy Storage in the Network ● Storage provides benefits in the distribution network: ● Storing of active power ● Flattening of load profile: smaller nighttime valley and reduced daytime peak ● Storage can be considered as source of active power during peak hours (energy storage as peak generation unit) ● In combination with intermittent operation of renewables (e.g. solar), ES can provide continual power supply even during night hours ● Combination of renewables + ES can reduce fluctuation of power injection caused from variation of solar/wind input. Stored energy can mitigate sudden injections or drops of power from renewables.
  10. 10. Impact on Profile ● Impact on profile (left lower corner, gray area is stored energy, while gray area in peak hours denote discharged energy):
  11. 11. Definitions Continued ● Demand Response (DR) ● Management of consumption, anywhere along a feeder, in response to supply conditions ●Network Reconfiguration ●Voltage Reduction ●Volt/VAR Optimization ●DG/ES/DER Management ●Load Shedding/Curtailment ● Microgrid ● A local network of DERs and consumers that is a subset of the distribution network ● Can operate in an isolated manner or be always connected ● May include multiple DR components ● Microgrid management targets local energy supply and demand
  12. 12. The Advanced DMS Convergence of DMS, OMS, and SCADA Monitoring, analysis, control, optimization, planning, and training Management of Demand and Distributed Energy Resources Network automation with closed-loop control Incident, fault, and crew management with field mobility Common User Experience, Data Model, Integration, Secure Infrastructure
  13. 13. ADMS Functionality             Real-time Simulation Off-line Simulation What-if Analysis Historical Playback Load Flow State Estimation Energy Losses Fault Calculation Reliability Analysis Relay Protection Device Capability Contingency Analysis      Telemetry Alarming Tagging Trending Reporting Train Plan ADMS Benefits  Safety  Reliability  Efficiency  Standardized Training  Unified Interface  Detailed Equipment Usage History  Medium and Long-term Load Forecasting  Network Automation  Network Reinforcement  Optimal Device Placement Optimize  Volt/VAR Optimization  Network Reconfiguration  Near and Short-term Load Operate Forecasting  Demand Response  Distributed Energy Mgmt. Analyze Monitor       Fault Management Switch Management Crew Management Under-load Switching Large Area Restoration Load Shedding
  14. 14. ADMS/PCS Projects Worldwide NIH, Washington DC, USA EPCOR, AB, Canada BC Hydro, BC, Canada Austin Energy, Texas Burbank W&P, California Duke/Progress Enrgy, North Carolina CFE, Zona Puebla City, Mexico EMCALI, Cali, Columbia Petroproduccion, Ecuador MEER, Ecuador EDELNOR, Lima, Peru EPS, Serbia UofM, Michigan Elektro Celje, Slovenia Dong Energy, Hydro One, Denmark ON, Canada ENEL, NS Power, Italy NS, Canada PECO, Philadelphia Railway project, Murcia, Spain CNFL, San Jose, Costa Rica STEG, Tunisia ELECTRA, Panama City, Panama Energoprom, Novocheboksary Russia IDGC Center Russia, Moscow, Russia Irkutsk, Russia EMASZ / ELMU, Budapest, Hungary Guizhou Electric Bihar, Electrica, Cluj, Corporation, China India Romania Guangxi Power, EVN, China Macedonia Maharashtra, India PT-PLN, Banda Aceh, Indonesia Abu Dhabi, UAE Medina, Saudi Arabia Light Services de Electricitade, Rio de Janeiro, Brazil EPS Serbia EDEN, Buenos Aires province, Argentina PT-PLN, Bandung, Indonesia ACTEW, Canberra Australia Unison, New Zealand EPRS EDENOR, Buenos Aires, Argentina ANDE, Asuncion, Paraguay Over 180 control centers and 88M meters B&H EPCG Montenegro ETSA, Adelaide Australia
  15. 15. Renewable Resource Commitment ● In June 2007, seeks to obtain Burbank now the Burbank City 66% of adopted from Council electricityBWP's renewable resources 33% of recommendation that by 2025 ● electricity be will be a from Renewables procured renewable resources by wind, combination of primarily 2020 ● Burbank was the first city in the solar, and compressed air storage systems United States to step up to this ambitious goal
  16. 16. Renewable Resource Variability 185 MW 170 MW 10 MW 20 MW
  17. 17. Integrated ADS Business Objectives ● Integrate Demand and Supply resources into the realtime and day-ahead operations at Burbank Water and Power ● Automate and Optimize dispatch of resources: ● Generation ● Renewable energy resources (solar and wind) ● Energy purchases and sales ● Demand response and load control (ADR) ● Energy storage and EV ● Distributed generation and PV ● Centralized Control Center
  18. 18. Integrated Automatic Dispatch System (iADS) Weather Service (Schneider Elec) Wholesale Markets Balancing Authority Trading Partners Wholesale & Market Operations (OATI) GIS/OMS (Schneider Elec) CIS (Oracle CC&B) ADS/AGC (OATI) PCS/SCADA (LF, RF, AGC) (Schneider Elec) AMI (Trilliant) MDMS (eMeter) Fiber/wireless networks/Internet Customer Portal Distributed Generation Energy Storage Demand Response Ice Bear TES units Building Mgmt System 18
  19. 19. Poll Question 2 – Main Drivers ●At your utility, what are the main drivers for integration and optimization of renewables and storage? ●Please select all applicable replies: 1. Required for reliability (create alternative sources of distributed energy in the event of outages) [8%] 2. Required for reliability (reduce load on sections of feeders) [15%] 3. Required for efficiency (e.g. peak shifting, peak shaving, balance supply and demand) [18%] 4. Required for environmental reasons (cleaner energy) [20%] 5. Required due to regulatory/governmental requirements [25%] 6. Other (please email John with your drivers) [1%] 7. Unknown [13%]
  20. 20. The DG/DER Challenge ● Integration of renewables and storage is a challenge for networks designed to operate in the “classical” way (one way: transmission –> distribution -> consumer) ● Renewables in the distribution system completely change the philosophy of network operation: ● reverse power flow ● impact on voltage profile ● protection schemes ● Distribution network starts to look more like the transmission network
  21. 21. Problems Created By DG and DER in the Network ● Without ADMS, DG/DER’s in the network introduce several dilemmas for engineering and operations: ● No visibility of network state with DG/DER’s ● Not clear if operating problems like high/low voltages are caused by DG/DER’s or normal loading conditions ● Not clear how to select the optimal location for connecting large DG/DER resources to the network ● No clear direction on how to maximize the operation and value of “green” energy provided by renewables ● Result is operating problems such as high/low feeder voltage and reverse power flows may go unseen until customers are affected
  22. 22. Current Situation Wind Generation Buildings ??? Weather Stations Distribution utilities face new challenges Solar Panels Smart Devices Smart Field Devices Houses + Electrical Vehicles CHP Plants
  23. 23. DG/DER Visualization and Monitoring ● Visualization ● Geographic, schematic, substation views ● Filtering by and search by resource type, voltage level, size, affiliation, etc. ● Monitoring ● Real-time awareness of DG/DER activity ● Visualization and reports for active/reactive (over/under) generation ● Condition-based monitoring for maintenance
  24. 24. DG/DER Analysis and Forecasting ● Over generation ● Violation of upper limits for active/reactive power generation ● Predictive alarming, phase balancing ● Harmonic penetration ● Harmonic analysis in presence of DG/DERs ● DG/DER contribution to harmonic levels ● History of operations ● Historical trending and reporting ● Identify periods of operational violations ● Near-term and short-term forecasting ● Load and solar/wind generation forecasting ● Historical behavior with current and forecasted weather (wind speed, solar irradiance, temperature, humidity)
  25. 25. WeatherSentry ● Weather imposes the largest external impact on your 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 Transmission Load Forecasting 90% of demand variation due to weather Distribution Temperature, humidity and wind impact line capacity Weather is largest cause of outages (lightning, high winds, ice, transformer failures due to high load, etc.) Wind Power Trading Distributed Generation Highly variable, difficult to predict. Causes increases in spinning reserve generation and risk of grid instability Improved prediction of load and renewable energy contribution improves trading decisions Home solar contributions can cause system instability due to rapid cloud cover changes WindPower Forecasts Solar Power Forecasts
  26. 26. Schneider Electric – Dominant Weather Provider to the Energy Industry in North America ● 70% of generation in U.S. ● Largest energy weather provider in U.S. ● A $30 billion global energy leader ● Rapid growth internationally ● Schneider Electric is an ADMS leader ● #1 for transmission and distribution crew management ● Weather integrated into OMS & DMS SmartGrid systems electric industry uses Schneider Electric weather forecasts for load modeling ● Renewable energy services: ● 73% of US wind farms use Schneider Electric lightning safety alerting ● Advanced wind power and solar forecasting
  27. 27. Forecasting Accuracy Results Typical results for a single wind plant Forecast Horizon Hour-ahead to next 12 hours Day-ahead (hour 30) Days 3-7 MAPE = Mean Absolute Percentage Error What accuracy are you currently receiving? MAPE* of Rated Capacity 6-12% 12-18% 18-20%
  28. 28. Improved Accuracy Gives Large ROI A Customer Perspective of Wind Power Forecast Value ● Day Ahead Forecasting Error Theory when using WindLogics forecasts ● Ideal Revenue = “generate exactly to the forecast” ● Deviation to Ideal = “Forecast Error” ● Forecast Error is comprised of • Availability error • Curtailments 1/3 of Forecast Error • Wind forecast error: Timing & magnitude ● Customer view: • Assuming 15% MAPE, each 1% equates to $65K, or nearly $1M annually (400MW wind portfolio) ● Ongoing WindLogics forecast training yields between 3-5% improvement in accuracy, or $195K-$325K annually
  29. 29. Forecasting of Ramp Events ● Uses an ensemble approach to ramp probability ● The WindLogics forecasting system outputs predictive intervals (P20/P50/P80), which provide a valuable assessment of the possible impact of a ramp event (timing & magnitude) Ramp events were wellforecasted days in advance Actual Power P20 Forecast Power P50 Forecast Power P80 Forecast Power
  30. 30. DTN Solar Forecasting Experience Providing solar irradiance forecasts to many utilities for load forecasting Utility-scale solar irradiance forecasting ● PV (Photovoltaic) and ● CSP (Concentrated Solar Power), including Abengoa Solar Distributed solar projects, for utilities
  31. 31. Schneider Electric’s Solar Capabilities ● Schneider Electric provides a leading inverter solution, and is a solar integrator ● Schneider Electric has SCADA systems for solar plants (monitoring & control), used by Abengoa Solar and others ● Schneider Electric’s ADMS (Advanced Distribution Management System) manages distributed solar generation challenges for utilities ● Schneider Electric is participating in a major US Department of Energy 3-year research project with the US National Center for Atmospheric Research (NCAR) to improve solar forecasting, as part of the US Department of Energy’s “SunShot” Initiative)
  32. 32. Benefits of Solar Forecasting System ●Integrate solar successfully ●Schedule power and maintain system reliability ●Utilize more of the generated solar power ●Minimize reserve costs ●Reliably make unit commitments, reduce risk ●Improve power marketing
  33. 33. DTN Solar Benefits ●Provides outstanding irradiance accuracy ●Reliable delivery ●Energy weather experts, with the resources of Schneider Electric, committed to solar energy ●Also, we will be introducing solar power forecasting in Q4 2013 ● Irradiance forecasting now ● Adding generated power forecasting
  34. 34. ADMS Operation & Optimization of DER ● Dispatch (reliability, economic) ● Dispatch entire network or localized areas ● Increase or decrease generation (automatically/manually) ● Operation Validation ● What-if analysis in simulation mode ● Prevent operation on adjacent feeders ● Volt/VAR Optimization ● Manage VVO in the presence of DG/DERs ● Utilize DG/DERs as VVO resource ● Relay Protection Coordination ● Adaptive relay protection and transfer trip settings ● Microgrid Islanding ● Maintaining reliable service with islanded networks
  35. 35. Steps to Solving the DG/DER Problems 1. Provide full visibility of network state with DG/DER; to increase network awareness 2. Evaluate the impacts of new DG/DER; ● What will happen if we add a new unit, ● Simulate and study impacts before unit goes on line (planning) 3. Optimize DG/DER operation (including microgrids)
  36. 36. 1. Full visibility of network state ● A comprehensive task which requires modeling of DG/DER with appropriate models: ● Load flow model ● Short circuit model ● Models which can be used for forecasting purposes ● ADMS software package provides modeling ● For real-time visualization and operations ● For off-line simulation and study ● Following are some illustrations of the main effects of DG/DER in the distribution network
  37. 37. Full Network State Visibility
  38. 38. Voltage Profiles – no DG (open)
  39. 39. Voltage Profiles – with DG (closed)
  40. 40. Short Circuit Current
  41. 41. Near Term Operation Planning supported by Weather Forecast Inputs
  42. 42. 2. DG/DER Planning ● What will happen if we add a new unit ● Run analysis before adding unit in the network ● One possibility is to add DG/DER in the selected network configuration and state (e.g. the worst case) ● Better possibility is to check several typical cases, e.g.: ● Maximum DG production/minimum Load (voltage problems?) ● Minimum DG production/maximum Load (overloading?) ● Etc.
  43. 43. Planning Variants S1.0 - DGmaxLoadmax No problem S2.0 - DGminLoadmin No problem S3.0 - DGmaxLoadmin S3.1 Volt/VAR Optimization (VVO) Voltage problem Load S0.0 DG S0.1 S4.1 Cable Reinforcement S4.0 - DGminLoadmax S4.2 Load Management + Reconfiguration Overload problem S4.3 Demand Response S4.4 Energy Storage
  44. 44. DG Influence on Network Design State with DGmax, Lmin – Voltage Problem
  45. 45. DG Influence on Network Design State with DGmax, Lmin – VVO Solution
  46. 46. DG Influence on Network Design State with DGmin, Lmax – Overload Problem
  47. 47. DG Influence on Network Design State with DGmin, Lmax – NR Solution
  48. 48. DG Influence on Network Design State with DGmin, Lmax – Energy Storage Solution
  49. 49. 3. Microgrid Optimization HV BUSBAR SUPPLY TRANSFORMER OR TIE LINE Weather Information + Forecast MV BUSBAR LOAD CONSUMPTION CONVENTIONAL GENERATION (Hydro, gas, CHP) SOLAR UNITS WIND UNITS STORAGE UNITS
  50. 50. Microgrid Management with ADMS ● ● ● ● ● Provide monitoring of microgrid level resources Identify capabilities of generators; especially renewables Determine historical behavior of renewables (vs. weather input) Provide monitoring of interchange through supply transformer or tie line Provide forecast of load and renewable production (weather monitoring plus weather forecast) ● Calculate costs/benefits of microgrid operation, including forecasting ● Optimize operation of utility resources (“regional islanding”) MV BUSBAR LOAD CONSUMPTION CONVENTIONAL GENERATION (Hydro, gas, CHP) SOLAR UNITS WIND UNITS STORAGE UNITS
  51. 51. Island Operation? ● Real islanding (no connection with main grid) is typically forbidden ● Possible, but not primary goal ● Islanding requires much more investment and tuning ● Load shedding to balance island production and consumption at the moment of islanding ● Is stable frequency required? If yes, effective and efficient under frequency protection is required to align imbalance at any moment ● Regulating unit capable of keeping stable frequency ● e.g. CHP of 10 MW has ramp up about 50 kW/sec; economic threshold for e.g. CHP is above 4000h/year ● hydro unit can have even greater ramp up, but ramp down can be a problem
  52. 52. Application Support for Microgrids ● Applications: ● Automatic Generation Control – AGC ● Economic Dispatching – ED ● Unit Commitment – UC ● Load Forecasts – LF ● Renewable Production Forecast – RPF ● Load Shedding – LS ● Interchange Transaction Scheduler – ITS ● Additionally, ADMS applications can be added for monitoring/control when the full network model is used ● Product Focus ● ADMS for Distribution ● EMS for Transmission ● PCS for Generation ● Convergence of Systems
  53. 53. Managing and Optimizing DG with ADMS ● Complete, real-time and off-line model of the distribution grid ● Insight into grid state in the presence of DGs and DERs ● Conditions during reverse power flow ● Support operations and planning ADMS provides insight ● Capacity planning ● Load growth ● New DG/DER connections (what-if analysis) ● Load and power forecasting ● Near-term (hours) and short-term (days) forecasting ● DER operations and optimization ● Network simulations ● Relay protection coordination ● DER to shape the daily load curve ● Advanced DMS operations ● Volt/VAR Optimization ● Fault Location, Isolation, Supply Restoration into all areas of grid operations
  54. 54. Summary ●Schneider Electric has a long history of applying technology to solve complex problems for utilities ●Advanced systems like those provided by Schneider Electric can balance and optimize supply and demand and provide reliable, safe, and affordable power in the presence of highly variable renewable resources ●Integrations between applications are an integral part of these advanced systems ●Sophisticated Load Forecast and Renewable Forecast algorithms based on input from Weather Systems are a critical component of renewable optimization
  55. 55. Thank You! John Dirkman, PE Sr. Product Manager Schneider Electric john.dirkman@schneider-electric.com http://www.linkedin.com/in/dirkman 23 October 2013
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