Defines how to build an autonomous control for the smart grid

1. Presentation
to
85th National Electric Energy Society of Australia Conference
Predictive Engines for Smart Grid Operational Control
Timothy Edwards
Managing Director
August 09

2. What is Metro Power Company?
• Advisory & services consultancy
• Also known as an ‘ESCO’ in Europe
‘Energy Services Company’
• Also known as a ‘CleanTech’ with
‘Proprietary analytical systems ’
• Focused on real-time energy & demand management for
grid control
Energy Conservation | Complexity Management | Smart Grid

3. Smart Grid Concept
Courtesy of EPRI (2009)
• Best definition in the American Energy Independence & Security Act

5. The Road Map ~ “Maturity Model”
• IBM-underwritten Maturity Model is a proven process to
create a ‘Road Map’
• Collaboration effort between IBM, APQC, and the Global
Intelligent Utility Collaboration (GUIC)
• Country Energy part of GUIC
• 5 stage plan, across 8 focus areas

8. Wide Area Situational Awareness
Courtesy of EPRI (2009)

9. Data, data everywhere….
• Interoperability & Standards soon addressed
• More data to/from AMI, EMS, SCADA, DMS, OMS, GIS….
• Complexity theory to adapt to complex problems
• 2007 – Yahoo records 12 TB daily
• 2015 – SKA needs to record 6400 TB hourly
• Moore’s Law (CPU Hz x2 per 2 yrs)
• Kryder’s Law (Storage x2 per 2 yrs) x 0.5 cost per 2 yrs

10. Artificial Intelligence and Data Mining
• ‘True’ Data Mining est. 1990s
• Started as a mix of Statistical Analysis, AI, machine
learning and very large data sets.
• Three paths since 2004:
1. Decision trees
2. Artificial Neural Networks
3. Machine Learning
• Data Mining uses patterns in data to build models & adjust
• Neither A.N.N or Regression Statistics will do for
autonomous control elements.

11. Hybrid Artificially Intelligent Statistical Engine
• Regression vs Neural Nets – AUTONOMOUS
MANAGEMENT
both inadequate Change
Request
ANALYSE PLAN
• HAISE invented 2007
• Virtualized Hardware and
Change
Software environments enable Symptom KNOWLEDGE
Plan
simultaneous analytical
applications to run
MONITOR EXECUTE
• HAISE provides the ‘brain
power’ within autonomous RESOURCE
computing architecture
HAISE Control Loop for Autonomic Computing Element

12. Autonomous Grid Architecture with HAISE
SYSTEM OPERATIONS MARKET OPERATIONS
Orchestrating Autonomic Managers
LMS WMS OMS EMS FCS
LOAD WORK OUTAGE ENERGY FINANCIAL
MANAGEMENT MANAGEMENT MANAGEMENT MANAGEMENT CONTROL SYSTEM
SYSTEM SYSTEM SYSTEM SYSTEM
Self-Configuring Autonomic Managers
Layered Architecture of a Smart Grid Autonomic Computer System

13. Summary
• Convergence of technologies, roadmaps and interoperability
will make smart grid a reality soon
• With data, data everywhere…artificial intelligence will be
required to turn that data into useful information
• Predictive engines such as the HAISE will provide the brains
behind autonomous self-configuring, self-healing grid
operations through Wide Area Situational Awareness
Live Outage Visualisation - VERDE Weather Impact Model Visualisation

14. Thank You
Timothy Edwards
Managing Director
E: timothy.edwards@metropower.com.au
P: 08 9485 1121 F:08 9485 1119
PO Box 774. West Perth. WA 6872
Energy Conservation | Complexity Management | Smart Grid