Smart Grid Optimization in an Uncertain WorldSmart Grid Optimization in an Uncertain World

Septembre 29th, 2011

John A. Johnson, PE

2

Grid Optimization in an Uncertain World

Electric Utility: Con Edison of New York Smart Grid

• Enabling integration of Distributed Energy Resources at the ISO and Utility 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

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.

ConEdison of New York Smart Grid

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

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.

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

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

Micro-grids hold promise to transform power distribution, enabling new levels of system reliability and efficiency

Source: iTeres

WindFarm

Offices

Central Power Plant

Storage

Industrial Plant

Generators

Isolated Microgrids

HousesSolar Panels

Storage

Storage

Generators

Storage

Focus on: Microgrid IntelligenceSelf-healing• Responds to system disturbances

automatically• Capable of operating as an “island” off

of the regional grid

Self-coordination• Coordinates real-time demands of

energy users, distributed resources, microgrid operations and distribution system integrity

Self-scheduling• Schedules dispatch of distributed

energy resources using decisioning tools to optimize overall grid operational performance

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 infrastructurePrime focus on maintaining comfort of tenantsEnable direct control of tenant energy costsDrive pricing of commodities and infrastructure costs to the individual assetEnable behavioral changes based on pricingProvide an efficient way to diagnose anomalies in the operation of assets Initiate workflow for tasks needed to drive energy efficiency and asset management

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.