Smart grid

1,433 views

Published on

Published in: Technology, Business
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,433
On SlideShare
0
From Embeds
0
Number of Embeds
604
Actions
Shares
0
Downloads
19
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide
  • 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.
  • Smart grid

    1. 1. Smart Grid Optimization in an Uncertain World John A. Johnson, PESeptembre 29th, 2011
    2. 2. Grid Optimization in an Uncertain World 2
    3. 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. 4. Threat Simulation - ReliabilityControl 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 unreliabilityValue – Improved reliability of service through predicted vulnerabilities and preemptive actions
    5. 5. Smart Grid Deployment – Con Edison • Triple the effectiveness of capital deployed for cable replacement – Improve ReliabilitySolution •Combined 200 Attributes •Static and real time data •Machine Learning based pattern recognition •Rank the susceptibility of cable failure.
    6. 6. Electric IndustryChallenge/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. 7. Building/City/CampusChallenge/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. 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-coordinationWind • Coordinates real-time demands ofFarm 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. 9. Smart Utility ManagementImproves energy efficiency and asset management using intelligence via anIntegrated 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. 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.

    ×