3. Electric Utility: Con Edison of New York Smart Grid
The goal of the Con Edison DOE Smart grid project is to deploy smart grid
technology within New York City and demonstrate its ability to integrate
and optimize distributed energy resources (DR) to enhance efficiency,
reliability and economic savings for the Utility and End Users alike.
• Enabling integration of Distributed
Energy Resources at the ISO and Utility ConEdison of New York Smart Grid
level to improve reliability in System
Operations
• Providing granular level Machine
Learning based load forecasting, power
flow simulation, threat simulation
• Optimizing the use of distributed
resources to address capacity
constraints on transmission and
distribution system
• Providing coordination and scheduling
for Distributed Energy Resources
4. Threat Simulation - Reliability
Control room operator needs to know
– What is the next worst thing that can happen?
– What is the most likely thing that will happen?
Solution
– Control room and operational decision support
system for detection of variances in equipment
performance and prediction of unreliability
Value
– Improved reliability of service through predicted
vulnerabilities and preemptive actions
5. Smart Grid Deployment – Con Edison
• Triple the effectiveness of capital deployed for
cable replacement – Improve Reliability
Solution
•Combined 200 Attributes
•Static and real time data
•Machine Learning based
pattern recognition
•Rank the susceptibility of cable
failure.
6. Electric Industry
Challenge/Opportunities
• Reliability
• Fair return on assets
• Uncertainties
– New Distributed Energy Resources
• Wind, Solar, electric plug-in vehicles,
micro-grids, demand response
– Stranded electric infrastructure costs
– Competition
• Sustainability mandates
– Environment and climate
• Energy Efficiency
mandates/incentives
Why Smart Grid? - Being a better manager of assets and power flow
from DER via intelligence holds promise of addressing the above
7. Building/City/Campus
Challenge/Opportunities
• Reduce costs
• Reliability
• Distributed Energy
Resources
• Environmentally friendly
electric supply – Solar, Wind
• Efficient/reliable/secure –
Micro-grid
• Demand Response for higher
utilization/efficiency
• Customer Choice –
Reliability/Cost/Supply Type
• Monetize infrastructure
through interdependency
• Sustainability
– Environment and climate
8. Micro-grids hold promise to transform power distribution,
enabling new levels of system reliability and efficiency
Focus on: Microgrid Intelligence Self-healing
Offices • Responds to system disturbances
automatically
Solar Panels Houses • Capable of operating as an “island” off
of the regional grid
Storage
Generators
Storage
Self-coordination
Wind • Coordinates real-time demands of
Farm
energy users, distributed resources,
Industrial microgrid operations and distribution
Plant
Storage
system integrity
Generators
Self-scheduling
• Schedules dispatch of distributed
Storage energy resources using decisioning
Isolated Microgrids tools to optimize overall grid
operational performance
Central
Power Plant Source: iTeres
9. Smart Utility Management
Improves energy efficiency and asset management using intelligence via an
Integrated System Model (ISM) based decision support
Integrated System Model of entire building’s energy infrastructure
Prime focus on maintaining comfort of tenants
Enable direct control of tenant energy costs
Drive pricing of commodities and infrastructure costs to the individual asset
Enable behavioral changes based on pricing
Provide an efficient way to diagnose anomalies in the operation of assets
Initiate workflow for tasks needed to drive energy efficiency and asset management
10. Smart Utility Management
• Asset Management – Prediction/Optimization
• Incident Management – Prediction/Detection
• Electric Power Management – Prediction/Pricing
• Sustainability improvement – Prediction/Incentive
• Demand Management – Prediction/Incentive
Research, development, demonstration, and deployment of Smart Grid
provides one of the greatest opportunities to improve modern society
and create a sustainable environment through management of energy.
Notes de l'éditeur
Today Utilities and micro-grids deal with the challenge of maintaining reliability primarily through installed equipment redundancy and human expertise. Reliance on such a strategy in a resource constrained world impedes improvements in energy efficiency, reductions in infrastructure costs, and achieving optimal operations.
Today Utilities and micro-grids deal with the challenge of maintaining reliability primarily through installed equipment redundancy and human expertise. Reliance on such a strategy in a resource constrained world impedes improvements in energy efficiency, reductions in infrastructure costs, and achieving optimal operations.
Peco Smart Grid project: could save customers about $1.5 billion during the life of the project, improve service and benefit the environment. Additional information can be found at www.peco.com/SMART . The company’s plans include building an advanced metering infrastructure (AMI), providing smart meters for 600,000 customers by 2012 and all 1.6 million customers in 10 years, and upgrading the company’s electric transmission and distribution system with the ability to identify and correct certain system problems before they impact customers. PECO’s smart meter plan – to be submitted to the PUC on August 14 – will seek approval to install the advanced metering infrastructure, backbone communications network and information systems to integrate customer energy usage with utility operations. The communications networks – fiber optics and wireless – will enable two-way communication between the smart meters and the Smart Grid.
One ISM ties finance to capital planning to environment to engineering to operations to maintenance *The Engineering Design model is the same model repository used for control system and for decision support. *Conditioned Based Maintenance - By using the integration of models into one platform prediction and prevention of incidents are possible and maintenance can be efficiently directed to your worst apples. In addition, scheduling and workflow based on the state of the system as represented by the model enable critical efficiency improvements of how and when work gets perfromed. *Price signals that can properly direct energy and asset optimization are key integration
Today Utilities and micro-grids deal with the challenge of maintaining reliability primarily through installed equipment redundancy and human expertise. Reliance on such a strategy in a resource constrained world impedes improvements in energy efficiency, reductions in infrastructure costs, and achieving optimal operations.
