Oct 1 BNL Gerald Stokes Smarter Grid
The BNL Smarter Grid Research Strategy: Plans and Status Brookhaven National Laboratory Dr. Gerald Stokes, Global & Regional Solutions September, 27 2012
Building the Smarter Grid R&D Vision The heart of BNL’s approach to grid R&D for a Smarter Grid is begins with a geospatially referenced model with access to historical and real time data and measurements.
Next, as a federal enclave, BNL has the ability to perform certain experiments and test new equipment on its grid prior to commercial introduction.
We seek to give deeper insight into issues such as: • Renewable integration and penetration • Distribution efficiency and reliability • The role of micro-grids and related concepts, such as islanding, in
the smarter grid world. 2
Brookhaven Energy R&D: A Collaborative Approach Basic Research, Applied Research, and Industry Working Together BNL Resources CFN/Nanoscience
NY State Consortia/Resources
ENERGY CHALLENGES: New York and Beyond NSLS/NSLS‐II
Electric Systems Sustainable Fuels
DOE ALIGNMENT/LEVERAGE ISB‐I
BNL Research
DOE Priority Research Directions 4 Energy Frontier Research Centers Collaborators/Joint Appointments
LISF
SYRACUSE
New York Blue
Most importantly, we are developing research collaborations with NY utilities • Integrated system modeling approaches with Orange and Rockland (ORU) and Central Hudson (CHGE) • Cost benefit analysis with ORU • Supercomputer implementation of planning models with LIPA • Storm and outage management discussions with LIPA and ORU • Probabilistic Risk Assessment for Dynamic Asset and Risk Management with LIPA
BNL’s Vision for a Smarter Grid Test Bed & Simulation Lab NSERC LISF
Smart-Grid Demo
BNL Sustainability Program
SGRID3/AEGIS*
BNL Smarter Grid Research
Distribution Simulation & Automation
BNL/Stony Brook Univ. partnership received $5million New York State grant to initiate development of the Advanced Electric Grid Innovation and Support (AEGIS) Facility 5
Electric Infrastructure: Advanced Materials for Renewables Integration DOE – BES Unraveling the nature of HTS Critical point at the pair quantum resistance
BNL-Industry CRADA / ARPA-E DOE (BES & EERE) Improved Critical Properties HTS Cables, SMES 2G YBCO Coated Conductors
High Capacity, Fault-limiting
1000 A
Sub-atmospheric growth process enables reel-to-reel production of long length HTS tapes (BNL Patent) Nature 472, 458 (2011)
GRIDS SMES SYSTEM
Evidence for Localized Pairing in the Normal State
Power Converter SMES ABB Brookhaven National Lab
STM - Nature 466, 374 (2010)
ARPES - Nature 456, 77 (2008)
Engineering strong/isotropic pins to achieve record high Jc(H) and Tc in YBa2Cu3O7 for HTS cables
2G HTS Wire SuperPower/University of Houston
BNL is host to a 32MW Solar Farm – largest solar east of the Mississippi River -- collecting the largest data set for a utility-scale PV plant LISF Solar Energy Research
32 MW-ac grid-connected PV plant • • •
Owned by Long Island Solar Farm, LLC (company partially owned by BP Solar) Purpose-sell power to LIPA under a PPA Commercial operation began Nov. 1, 2011
BNL is collecting data from LISF • • •
Unique high-speed, time-resolved data sets (solar resource + power quality) Characterize variability of utility-scale plants in the northeast Investigate the impacts of utility-scale renewable energy generation on the grid
BNL is constructing the Northeast Solar Energy Research Center (NSERC) with flexible design for your R&D experiments and tests NSERC Solar Energy Research Facility
Solar PV Research Array - 1MW-ac • • • • • •
Connected to BNL electrical system Reconfigurable for different test scenarios Capability for storage Conceptual design complete Construction to begin early 2013 Operation expected summer 2013
Research Enabled • • •
Renewables integration Role of innovative inverter controls (DVAR, voltage regulation) Role of storage
8
BNL is evaluating smart sensors in the campus electrical network to enable using the site as a microgrid test bed with options for utilities to test on their grids Smarter Micro-Grid (SMG) Demonstration Project • BNL has a 20 MW base load representative of a typical industrial complex; 13.8 kV primary distribution • An active collaboration is in place for placing a network of new generation grid sensors in the BNL distribution system • NSERC includes renewable generation on the BNL grid, which enables the creation of a micro‐grid test bed. • BNL has received the first shipment of sensors and is initiating a pre‐installation test program at BNL and a local utility (ORU)
Smarter Electric Grid Research, Innovation, Development. Demonstration, Deployment Center (SGRID3 ) at BNL/SBU With the vision of model-forward, SGRID3 will provide the facility and focus on the Northeast electric grid with modeling and simulation using actual power systems in real time operation • • • • • •
Integrated System Models Historical and real time data and measurements Geographically-based information Component Models Simulations of natural and unnatural events Developing and testing advanced micro-grid management strategies SGRID3 via its Advanced Electrical Grid Innovation and Support (AEGIS) Center will facilitate the development of new capabilities to allow utilities to monitor and model their grids in real time – a capability that currently does not exist.
Initial funding from Empire State Development Corporation
• Develop knowledge that will guide future utility investments in the electrical transmission and distribution systems in the Northeast. • Provide computing capability for grid studies with 10 10 simulation focused on natural and unnatural events
Enhancing Grid Modeling: Robert Broadwater (Virginia Tech) Elements
Current Industry Practice
New Industry Practice – Required for Smarter Grid Utility system Multiple, special purpose models; Integrated System Model (ISM) is a unique, model not integrated; inconsistent level of exact, precise, integrated representation of detail; compromising assumptions; utility’s system; based on up‐to date lack of geographic details. geospatially matched coordinates. Algorithms
Algorithms run slowly on simplified models, and different, incongruous algorithms are used for transmission and distribution.
Physics‐based equations algorithms solve in real time a one‐and‐only precise ISM of the utility system. The same algorithm is used for transmission and distribution (T&D) simulation to solve IEEE Standard T&D models.
Data
Little useable measurement data versus number of available measurements, such as historical customer load and SCADA data, or real‐time SCADA data, are used in planning or real‐time models.
All measurement data, including all customer load data, all SCADA measurements, outage data, weather data, and others, are attached to the ISM model which supports both planning and real‐time analysis.
Graph Trace Analysis Advantages Over Matrix Based Solutions • Time to manage topology changes is independent of model size • Automatically maintains set of independent loops • Model complex topologies, including paralleled switches and multi‐phase loops • No limit to size of model • Naturally distribute model, and algorithms that run on model, across processors • Determine islands of generation and load in a matter of seconds, even for a system with 1,000,000 objects
DOE is working to create the International Smart Grid Action Network (ISGAN)
Flags designate formal agreements. Many countries have Smart Grid laboratories. Together we can make the most of all the opportunities worldwide.
BNL leads Distribution Automation Smart Grid for Worldwide Test-Bed Facilities
In short … BNL is building an asset base to support the work of utilities and advance the state of tools and technology for the state and the region for a smarter grid.
14
Smarter Grid Research at BNL “A Partner in Transforming the Electrical Grid” Brookhaven National Laboratory Dr. Gerald Stokes, Global & Regional Solutions
[email protected]
Thank you!
Building the Smarter Grid R&D Vision The heart of BNL’s approach to grid R&D for a Smarter Grid is begins with a geospatially referenced model with access to historical and real time data and measurements.
Next, as a federal enclave, BNL has the ability to perform certain experiments and test new equipment on its grid prior to commercial introduction.
We seek to give deeper insight into issues such as: • Renewable integration and penetration • Distribution efficiency and reliability • The role of micro-grids and related concepts, such as islanding, in
the smarter grid world. 2
Brookhaven Energy R&D: A Collaborative Approach Basic Research, Applied Research, and Industry Working Together BNL Resources CFN/Nanoscience
NY State Consortia/Resources
ENERGY CHALLENGES: New York and Beyond NSLS/NSLS‐II
Electric Systems Sustainable Fuels
DOE ALIGNMENT/LEVERAGE ISB‐I
BNL Research
DOE Priority Research Directions 4 Energy Frontier Research Centers Collaborators/Joint Appointments
LISF
SYRACUSE
New York Blue
Most importantly, we are developing research collaborations with NY utilities • Integrated system modeling approaches with Orange and Rockland (ORU) and Central Hudson (CHGE) • Cost benefit analysis with ORU • Supercomputer implementation of planning models with LIPA • Storm and outage management discussions with LIPA and ORU • Probabilistic Risk Assessment for Dynamic Asset and Risk Management with LIPA
BNL’s Vision for a Smarter Grid Test Bed & Simulation Lab NSERC LISF
Smart-Grid Demo
BNL Sustainability Program
SGRID3/AEGIS*
BNL Smarter Grid Research
Distribution Simulation & Automation
BNL/Stony Brook Univ. partnership received $5million New York State grant to initiate development of the Advanced Electric Grid Innovation and Support (AEGIS) Facility 5
Electric Infrastructure: Advanced Materials for Renewables Integration DOE – BES Unraveling the nature of HTS Critical point at the pair quantum resistance
BNL-Industry CRADA / ARPA-E DOE (BES & EERE) Improved Critical Properties HTS Cables, SMES 2G YBCO Coated Conductors
High Capacity, Fault-limiting
1000 A
Sub-atmospheric growth process enables reel-to-reel production of long length HTS tapes (BNL Patent) Nature 472, 458 (2011)
GRIDS SMES SYSTEM
Evidence for Localized Pairing in the Normal State
Power Converter SMES ABB Brookhaven National Lab
STM - Nature 466, 374 (2010)
ARPES - Nature 456, 77 (2008)
Engineering strong/isotropic pins to achieve record high Jc(H) and Tc in YBa2Cu3O7 for HTS cables
2G HTS Wire SuperPower/University of Houston
BNL is host to a 32MW Solar Farm – largest solar east of the Mississippi River -- collecting the largest data set for a utility-scale PV plant LISF Solar Energy Research
32 MW-ac grid-connected PV plant • • •
Owned by Long Island Solar Farm, LLC (company partially owned by BP Solar) Purpose-sell power to LIPA under a PPA Commercial operation began Nov. 1, 2011
BNL is collecting data from LISF • • •
Unique high-speed, time-resolved data sets (solar resource + power quality) Characterize variability of utility-scale plants in the northeast Investigate the impacts of utility-scale renewable energy generation on the grid
BNL is constructing the Northeast Solar Energy Research Center (NSERC) with flexible design for your R&D experiments and tests NSERC Solar Energy Research Facility
Solar PV Research Array - 1MW-ac • • • • • •
Connected to BNL electrical system Reconfigurable for different test scenarios Capability for storage Conceptual design complete Construction to begin early 2013 Operation expected summer 2013
Research Enabled • • •
Renewables integration Role of innovative inverter controls (DVAR, voltage regulation) Role of storage
8
BNL is evaluating smart sensors in the campus electrical network to enable using the site as a microgrid test bed with options for utilities to test on their grids Smarter Micro-Grid (SMG) Demonstration Project • BNL has a 20 MW base load representative of a typical industrial complex; 13.8 kV primary distribution • An active collaboration is in place for placing a network of new generation grid sensors in the BNL distribution system • NSERC includes renewable generation on the BNL grid, which enables the creation of a micro‐grid test bed. • BNL has received the first shipment of sensors and is initiating a pre‐installation test program at BNL and a local utility (ORU)
Smarter Electric Grid Research, Innovation, Development. Demonstration, Deployment Center (SGRID3 ) at BNL/SBU With the vision of model-forward, SGRID3 will provide the facility and focus on the Northeast electric grid with modeling and simulation using actual power systems in real time operation • • • • • •
Integrated System Models Historical and real time data and measurements Geographically-based information Component Models Simulations of natural and unnatural events Developing and testing advanced micro-grid management strategies SGRID3 via its Advanced Electrical Grid Innovation and Support (AEGIS) Center will facilitate the development of new capabilities to allow utilities to monitor and model their grids in real time – a capability that currently does not exist.
Initial funding from Empire State Development Corporation
• Develop knowledge that will guide future utility investments in the electrical transmission and distribution systems in the Northeast. • Provide computing capability for grid studies with 10 10 simulation focused on natural and unnatural events
Enhancing Grid Modeling: Robert Broadwater (Virginia Tech) Elements
Current Industry Practice
New Industry Practice – Required for Smarter Grid Utility system Multiple, special purpose models; Integrated System Model (ISM) is a unique, model not integrated; inconsistent level of exact, precise, integrated representation of detail; compromising assumptions; utility’s system; based on up‐to date lack of geographic details. geospatially matched coordinates. Algorithms
Algorithms run slowly on simplified models, and different, incongruous algorithms are used for transmission and distribution.
Physics‐based equations algorithms solve in real time a one‐and‐only precise ISM of the utility system. The same algorithm is used for transmission and distribution (T&D) simulation to solve IEEE Standard T&D models.
Data
Little useable measurement data versus number of available measurements, such as historical customer load and SCADA data, or real‐time SCADA data, are used in planning or real‐time models.
All measurement data, including all customer load data, all SCADA measurements, outage data, weather data, and others, are attached to the ISM model which supports both planning and real‐time analysis.
Graph Trace Analysis Advantages Over Matrix Based Solutions • Time to manage topology changes is independent of model size • Automatically maintains set of independent loops • Model complex topologies, including paralleled switches and multi‐phase loops • No limit to size of model • Naturally distribute model, and algorithms that run on model, across processors • Determine islands of generation and load in a matter of seconds, even for a system with 1,000,000 objects
DOE is working to create the International Smart Grid Action Network (ISGAN)
Flags designate formal agreements. Many countries have Smart Grid laboratories. Together we can make the most of all the opportunities worldwide.
BNL leads Distribution Automation Smart Grid for Worldwide Test-Bed Facilities
In short … BNL is building an asset base to support the work of utilities and advance the state of tools and technology for the state and the region for a smarter grid.
14
Smarter Grid Research at BNL “A Partner in Transforming the Electrical Grid” Brookhaven National Laboratory Dr. Gerald Stokes, Global & Regional Solutions
[email protected]
Thank you!
