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GEC Ecomagination Challenge Submission

Packet-Switched Smart Grid

Ecomagination Challenge

Nick Robinson and Team, September 2010

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Grid Futures : A Technical Vision

Existing National Grid Infrastructure

Notes: Roots are physically connected underground in a

“Ribbon Mesh”, but not the trunks! The “Virtual Ring Circuit ” on ground is shown dashed, forming a packet-switched route

Nick Robinson and Team, September 2010

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Introduction: Global Futures

 Global Economic Expansion

 Energy provision for each and all on demand

 Effective Global Future Energy Provision requires effective Global leadership, operating within an

 ethical social and environmental context

 with the emphasis on providing opportunities for work and enterprise

 balancing local and centralised energy generation

Nick Robinson and Team, September 2010

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Energy Futures

 Wind

 Ocean Current

 Tidal Flow and Wave

 Solar, Geothermal

 Cleaner Nuclear

 Cleaner Coal

Nick Robinson and Team, September 2010

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Nick Robinson and Team, September 2010

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Digital Futures

 Networked Smart UPSs featuring

 Packet-switched, cable-Integrated DC power distribution

 Domestic switched mode uninterruptible Power Supplies (smart

UPSs)

 Street hub switches

 Networked device mapping

Nick Robinson and Team, September 2010

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Environmental Futures

 Greener energy provision

 Climate stabilisation

 Low Environmental Impact Grid

 Sustainable energy generation

 Renewable resources

Nick Robinson and Team, September 2010

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Human Futures

 Growing Global Demand for Energy

 Climate Stabilisation

 Segmentation of work

 Workload gets divided up within communities

“Artificial Ethics”

 Fairness and equality of access to scarce resources (work)

Microsoft with New Scientist “Visions of the Future”

 Runner-up, Science Museum,

London, May 2008

Nick Robinson and Team, September 2010

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Working Futures

•Employment and Enterprise

•Creating local opportunities

•Provision of work in the community

•Communication

•“Knowledge alone is Power”

•‘Smart Power is Knowledge’

Nick Robinson and Team, September 2010

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Seeing the Grid in an Environmental Context

 Energy generation

 within a distributed environment

 within an embedded environment

 Sustainable resource provision

 the digital rainforest

 Charge caching intermittent supply

 using electric vehicle battery

Ecomagination Challenge banks

Nick Robinson and Team, September 2010

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Digital Rainforest Analogy Further Developed

Existing National Grid Infrastructure

Peripheral Grid Extension

Nick Robinson and Team, September 2010

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Digital Systems

 Open up new possibilities for smarter communication of power requirements

 Parity of Charge Packets

Nick Robinson and Team, September 2010

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•Systems Analysis

Adapting the SHEL Model

 Broadened human, social, environmental and engineering interactions (interfaces)

Human Factors Analysis

Object-Oriented Programming

Messaging Protocols

Requirements Analysis

Top-down / bottom-up design approach

H

Nick Robinson and Team, September 2010

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Greenware

E

L

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The Self-Sustaining Digital Rain Forest

 Analogue Amazon

 Existing National Grid AC Infrastructure anologous to a river

 Forest Water table retention by forest canopy is analogous to charge retention by local peripheral battery caches

 Digital Canopy

 Local distributed micro-generation and charge retention

 Hybrid Branch Interfaces (refer to Figure)

 Electric vehicle fuel stations

 local substations

 backed up with community micro-CHP generation

Nick Robinson and Team, September 2010

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Today’s Situation

 Slow, mechanical circuit-switched network

 less efficient; technology has moved on

 Changing Supply and Demand Requirements

 Environmental sourced supply intermittency

 More home working and aging population

 remote manufacturing locations

 Energy Security

 Shortages of oil and gas, dependency on foreign suppliers

Nick Robinson and Team, September 2010

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How Did We Get Here?

 AC Vs. DC

 Tesla Vs. Edison

 AC is no longer better than DC!

 Modern switching technology developments

 Keynesian Economics

 A model Post Great Depression infrastructure government spending initiative

Nick Robinson and Team, September 2010

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Available Options

 More Centralisation and Macro-Generation or more Distributed Micro-Generation?

 More Wind?

 More Coal?

 More Nuclear?

 More Wave Ocean and Tidal Flow?

Nick Robinson and Team, September 2010

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Recommendations

 Deploy

 Ocean and Tidal Flow generation offshore peripherally

 Local DC micro-generation

 Local DC charge caching

 Cleaner coal AC generation upgrade centrally

 Low environmental impact DC Smart Grid Extension

 Develop test models further to CFD simulation

 Lobby for an acceptable

 smart power grid standardization from the Application Layer down (pto)

Nick Robinson and Team, September 2010

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Appendix

 Mesh Topology Figs. 1 a b c & d

 Electric Fuel Station as Substation Node Fig.4

 The Open Systems Interface Transport Fig. 2

Control / Internet Protocol Model

 Application Layer Development

 Presentation Layer Development

 Distributed (Cloud) Computing

 Reading

Nick Robinson and Team, September 2010

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Mesh Wiring Topology

Street Level Repeater

Hubs form a V.A.N.

Nick Robinson and Team, September 2010

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Mesh Topology

Street Wiring

Nick Robinson and Team, September 2010

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Fig. 4

Electric Fuel Station as Sub-station

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43 33KVAC

11KV AC

33KVAC

42 400KV -> 132KVAC

45

Backbone DC Segments

CHP

Generator

Intermittent

11KVDC / 3.3KVDC

Chopping Packetswitched

Sub Station Node

46

12VDC

Charging

50

52

44 3.3KVDC

Packet-

Switched

3.3KVDC drive-through packet-switched forecourt

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47

49 230VDC chopped packet switched

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3KVDC ->230VDC

Packet-switched local ring energy cache 41

Electric fuel station charging (intermittent)

Ethernet or token ring

49 230VDC Packet-switched

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53

3.3KVDC

Packet-

Switched

Packet switching charge-caching power router step-up

3.3KVDC -> 11KVDC

Nick Robinson and Team, September 2010

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Fig. 2

TCP/IP Stack

TCP/IP Protocol Stack 16

Application (the Grid controllers displays

with manual power control override commands)

IIS & Winsock APIs, remote database stubs

with pointers for charge accounting,

client user HMIs[1]

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Application

Header

User Data the actual chopped charge pulse transmitted

User

Data

TCP

Application ‘Message’

IP

Ethernet Driver

Ethernet

Transmission

Line (the physical network cable

Comprising the power line)

Ethernet

Header

14 Bytes

IP

Header

TCP

Header

The Power Packet containing the

Chopped Charge (Application Data)

TCP Segment (addressed charge packet)

TCP

Header

The Power Packet containing the

Chopped Charge (Application Data)

IP Datagram (Packet)

IP

Header

20 Bytes

TCP

Header

20 Bytes

The Power Packet containing the

Chopped Charge (Application Data)

Variable length

Ethernet Frame 20

46 – 1,500 Bytes (variable) x 8 = 12,000 bits per Frame

Ethernet

Trailer

4 Bytes

21 direction of switched packet charge travel throu gh one network leg at 1-10 mbps.

Nick Robinson and Team, September 2010

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Application Layer Development

 Distributed (standardised) Component Object model for the non-standard top of the TCP/IP protocol stack

 Design for semi-autonomous home browser console operation ‘bottom-up’

 Allows remote database access (ordering of power supply)

 Complex real-time visual data display and modelling

 Back-end main-frame data and number crunching

Nick Robinson and Team, September 2010

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Presentation Layer: Why XML?

 Extensible Markup Language XML allows

 ongoing customisation, optimisation

 revisions to embedded code fragments

 additions of ‘known and unknown (un)knowns’

 improvements as science explains ‘black box systems patches’ e.g. demand and supply routing patterns in better detail (learing predictive neural networks)

 learned improvements to heuristic algorithms

 pre-processed, economical data exchange

Nick Robinson and Team, September 2010

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Cloud Computing

 Storm and crash-proof damage-hardened historical and learned data storage and backup

 Avoiding data-processing bottlenecks

Nick Robinson and Team, September 2010

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Reading

Please refer to Slide Notes enclosed

Nick Robinson and Team, September 2010

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Reading - continued

Nick Robinson and Team, September 2010

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