Building the Resilient Grid

Slides and content courtesy of the NRECA & The Security Fabric Alliance

Agile / Fractal Grid

• Concept: a grid that where distributed generators can integrate with and island from each other and the broader grid.

• Approach: develop common / shared methods for grid control so that different areas of control can communicate with each other without the development of custom interfaces

• Principle: the method of control should be the same at different scales, from building automation and industrial controls, to distribution to generation and transmission.

Key Areas of Development to Realize the Resilient Grid

1. Distributed Generation2. Microgrids3. Segmentability, Agile Control and Fractal Construction4. An Internet You Can Trust5. Advanced VAR Control and Solid State Power Electronics6. Advanced Architecture7. Improving Standards8. Real Big Data Capabilities9. Advanced Analytics10. High Performance Communications

Distributed Generation

There is no technical challenge in making electrons. The challenge is In grid integration.

Segmentability, Agile Control

Synchronization of IndependentOscillators

Decision Making:

Fractal Construction

• A “Grid of Grids”• Challenge is to develop rules that scale

Back up slides“The Rest of the Story”

An Internet You Can Trust? – Cheaper and Faster but not better

An Internet You Can Trust – Now: Better

Internet of ThingsInternet2Industrial Internet

Advanced VAR Control and Solid State Power Electronics

Advanced Architecture

ApplicationArchitecture

CommunicationsArchitecture

All the focus has been here

STAGE 4: Bus (MultiSpeak® model)

Abstract the Data to Support Open Application Development

Expanded Abstraction Model

Improving Standards

• MultiSpeak®• IEC 618**• CIM (as data dictionary)• NIST security standards• MultiSpeak® security extensions• GWAC• Abstraction model interfacesGoal: Get out of the N *(N-1) approach

Real Big Data Capabilities

• Address unstructured data• Reporting by exception• NO SQL high performance databases• Hadoop?• Passive as well as active capture• Shared data model“The Comprehensive Grid State Database”

Automated network mapping

Advanced Analytics

• Static Power Flow• Dynamic Power Flow• Abstraction from Data Management• Open community• Workforce Development• Distinction between models and solvers

General Structure of a Modeling Framework

Source Data

ReferenceData

Models ReferenceOutputs

Solvers

Monetization& Visualization

Module

Critical features Common data Common outputs Multiple solvers Run management

Features

Source Data

ReferenceData

Models ReferenceOutputs

Solvers

Monetization& Visualization

Module

Common Metrics• ROI, IRR• Payback• Out of range

values• ….

Common Data• EIA• BEA• Weather• Feeder• Census• ….

Common Outputs• $$$$• Voltage• Current• Frequleency• Angle• ….

Multiple Solvers

High Performance Communications

• Reporting by exception• Understanding the “interesting” day• Build from the Substation of the Future

taxonomy• Neighborhood of the future• Distributed data model• IP based with redundant paths