Special Analysis: February 17, 2010
© 2010: Andrew Pickford, Yasmine Yakushova, and ISSA Indo-Pacific Pty. Ltd.
Further information: email APickford@StrategicStudies.org
The Future of Electricity Grid Security: Threatening Clouds on the
Horizon?
Analysis. By Andrew Pickford and Yasmine Yakushova.
“This
world — cyberspace — is a world that we depend on every single day...
It’s the broadband networks beneath us and the wireless signals around
us... and the massive grids that power our nation... Yet we know that
cyber intruders have
probed our electrical grid and that in other countries cyber attacks
have plunged entire cities into darkness... Protecting this
infrastructure will be a national security priority.”
– Remarks by US President Barack
Obama, Securing our Nation’s Cyber Security, The White House, May 29,
2009.
Executive Summary
· Electricity
networks are changing at a fast rate due to a
convergence of technologies
and trends, most significantly with the advent of cheap “cloud
computing”.
· The
commercial rollout of smart grids
and integration of communication systems with traditional electricity
grids is emerging as a critical area of cyber security, with
benefits from greater efficiency driving the agenda, as opposed to
security protocols.
· Consumer
preferences,
driven by new technologies and
market frameworks, will largely determine the functions, usage
patterns and appliance options of smart grid applications, which will,
in turn, define security parameters.
· The
electricity grid threat matrix
will evolve over the next decade, with physical security now very
important and software security becoming increasingly critical.
Convergence of
Technologies and Trends
Whereas, in the past, electricity grids, telecommunication networks and
software have been largely separate, they are now converging at a very
fast rate. Innovation in these technologies would be more rapid, but for
the existing monopoly market structures present in many Western nations
which exist alongside regulatory systems that seek a set, stable rate of
return for an asset based on linear views of technological change. For
instance, technological advances envisaged by Google and General
Electric in the US, capable of modernising grid systems into
intelligent, self-healing and automated computer controlled networks
which could seamlessly integrate renewable power generation and two-way
information flows, have the potential to make electricity usage highly
more efficient. However, these advancements face resistance from
utilities, profiting from shifting huge quantities of electricity
through generation, transmission and distribution.1
Without significant interest or investment from the traditional
electricity sector, such fossilised market structures continue to
impinge on the revolutionising of the grid.
Nations with old
grid and generation legacy systems, largely static market structures and
lethargic regulatory systems, limit:
· The
deployment of smart meters2 and a truly
smart grid3;
· Electricity
being able to be sold in novel bundles, such as how mobile phones are
now traded; and
· The potential for the grid to be able to disaggregate into smaller, more resilient (and self-sufficient) cells.4
While the post-World
War II model of electricity systems
has remained dominant for a number of decades, a number of simultaneous
pressures are changing technological options and business models. This
will see the fundamental nature of the grid change, while for the
general public there will not be a radical change in the physical
appearance of what are viewed as simply “poles and wires”. Similar
changes have occurred in the telecommunications sector with consumer
driven preferences driving mobile and new data delivery methods.
Existing telecommunications infrastructure — while still useful and
indeed critical — now competes with technologies not dreamt of when the
first phone lines were laid. A similar transformation will occur in the
electricity grid during the 2010s. Some of the key trends impacting on
the electricity grid include:
1) Cloud
computing5:
While the introduction in the 1980s of computer systems and IT systems,
and then dot.com applications of the 1990s were important, in the 2010s,
as the cloud computing6 revolution
matures, the impact will be far greater. In many ways, cloud computing
and the unleashing of collective micro-processor power, almost infinite
storage options and reduced reliance on physical assets with highly
mobile data are ready-made to facilitate what may be referred to as a
smart grid. This will allow for much more efficient system and customer
management of electricity.
2) Grid Software: Innovations in electrical grid software are increasingly directed towards facilitating the development of systems which enable more efficient and reliable power distribution. As communication and remote management technologies improve, so does the ability for software programs which optimise efficiency, security or pricing options depending on the aims of the user, system manager and the utility. Such software can have major disruptive impacts on how consumers use a service. For example, Google altered how most people use and access the Internet. As the cost of electricity increases, the economic incentives to implement grid software, which is increasingly sophisticated, will increase, as will the effort around design, programming, maintenance and monitoring of the software.
3) Grid Innovation in Developing Nations: In nations where there is not a pre-existing grid and associated electrical engineering culture, the innovation and use of GPS, distributed generation and IT applications has seen so-called developing nations now at the cutting edge of electricity management and grids. With this trend, and shift of the manufacturing of electricity grid assets to places such as China and India, Western nations could soon become importers of grid technologies and its components, as there is little benefit from industry incumbency and few entry costs for new competitors.
4) Realistic
Mini-Generation Options:
For the first time, cost-effective mini-generation options will reverse
the expansion of the grid, based simply on economics. An example of a
new type of generator is a small nuclear reactor which meets market
requirements, as opposed to military needs. This Toshiba model, with
output of 10,000 kilowatts, is presently going through the approval
process by the US regulatory board as early as the North American Autumn
of 2010 to introduce this plant to market.7
Should this Toshiba 10 megawatt plant become an off-the-shelf,
commercial option, it could become a very attractive option for isolated
communities and remote mining operations. Once increasingly expensive
transmission options are considered as an alternative, this could
actually accelerate the disconnection from larger grids and (along with
storage options) facilitate more micro-grids.
5) Storage
Options:
Advancements in a variety of stationary and aggregated plug-in hybrid
electric vehicle (PHEV) batteries could soon enable electricity to be
captured, stored in greater quantity and returned to the grid at
critical times, improving grid reliability and efficiency. Some
stationary battery models already being installed (such as Japan’s NGK
Insulators Ltd.’s sodium-sulphur NAS batteries8)
have the capacity to stabilize the grid during peak hours or power
disruptions. Bulk storage devices9 which
can improve the utilisation of intermittent generation sources are also
gaining momentum. Integration into the grid of PHEV batteries able to
assist in increasing local grid electricity storage will be somewhat
tied into developing cheaper and more durable lithium-ion battery
technologies or replacements, as well as consumer choice in, and uptake
of, electric cars. As widespread rollout of electricity storage will be
positioned in the context of lowering production costs for both
stationary and PHEV batteries, as well as adapting market regulation to
facilitate the entry of non-generation assets into the grid, large-scale
installations may initially be inconsistent and limited, but in time
could facilitate disaggregation of the grid.
6) Electric
Cars:
Much of the discussion around electric cars has to do with carbon
benefits and greater energy independence. However, the key area in which
the electric car may have an impact is forcing radical changes to
electricity use, storage and consumption. While the standards for
electric cars batteries, grid connection and charging protocols remain
unclear, the potential for a smart meter in a car interfacing with the
grid could produce profound consequences. Where there are fluid
electricity markets, charging at variable time of use fees, actions by
consumers using their electric cars (and in time old batteries) to
reduce exposure to high electricity tariffs will produce major
challenges to the existing system. The possibility of electric cars
smart charging through the grid10,
even potentially supplying power, could facilitate integration of
consumer-owned storage and generation assets with the grid. Providing
that policy makers do not look for the next “silver bullet” and restrict
a potentially wide-ranging future electric car market, they could play
an integral role in the realisation of smart grids.11
However, if the deployment of electric cars continues to accelerate past
software security, this could have significant bearing on the network by
increasing entry points for hostile action on critical infrastructure.
Smart Grids and
Communication Integration
With the evolving
amalgamation of IT and communications technologies with the grid,
electricity markets are beginning to shift in reaction which will
precipitate unchartered impacts back onto the grid. Business models,
integrating software expertise and grid applications, that seek to
hasten grid modernisation, may increase. For instance, to maximise
efficiency of its own power consumption, Google has applied for a
wholesale electricity trading license which could, if granted, disrupt
current US utility dominance. Whether this eventuates and accelerates
smarter energy platforms’ incorporation into the national network
remains to be seen, although it could significantly affect market
structures regarding grid innovation.
An
example of the impact of the above trends can be seen with recent
developments of Xcel Energy, a US electricity and gas utility located in
the mid-west. Xcel Energy has led plans to transform Boulder, Colorado,
into the US’ first Smart Grid City and create a series of micro-grids
based around localised generation points.12
Xcel Energy’s deployment of GridPoint’s smart grid software has
facilitated the assimilation of smart grid technologies, such as smart
meters and entry points for PHEVs, and enabled web-based energy control
hosted through virtual cloud services. As communication software, cloud
computing, web-based data connections and consumer control form a point
of confluence, this brings into question at what pace and point of
success will similar network models follow?
Consumer Preferences
and New Market Frameworks
There is a great
deal of speculation about new technologies redefining societal habits,
especially in the use and consumption of electricity, transport and
communication technologies. Two main themes emerge from a review of
earlier periods of innovation:
· Consumers
will use new products how they want to as opposed to how
engineers expect them to.
When a new product is invented, commercialised and released, much of the
scientific and technological community apply a very mechanical filter in
terms of how it should be
used. Consumers, guided by belief systems, peer groups and human
emotions will often employ new products in vastly different ways to
which they were intended. It is for this reason why a review of the
earlier commentaries on forecast car use appears amusing. The industry
leaders and engineers of the day applied what they would view as a
rational, common sense approach to the “horseless buggy”, but people
decided on their own preferences, usage patterns and ownership
modalities. The same was true with mobile phones, as it will be with
electric cars, community and household electricity storage devices, and,
in time, flexible electricity contracts delivered through smart grids.
Any forecasting of the future use of technologies will generally be a
transposition of contemporary prejudices and biases as applied to new
technologies.
· Historical
market and regulatory frameworks will determine initial usage patterns
of a new product, however, over time, consumer preferences will dictate
the shape of both.
When a new product is introduced to the market, it is often done by
entrepreneurs. While innovative, these individuals and start ups do not
have the resources or political lobbying power to change market settings
or regulatory processes. They will simply fill a need and allow
consumers to shift to a product which better serves their need than an
existing product. As this product begins to be adopted by the wider
community, it will force a change in market structure and also force
regulators to play catch up. The transition from mobile phones being a
niche product to one that is now displacing fixed line phones is a case
in point of changing the market and regulatory frameworks.
In terms of
electricity delivered to consumers, currently done via the grid, it is
quite probable that we are entering a phase where people will start
using new products, such as electric cars and smart meters, in ways
different to how their inventors expect. This will initially be done
through traditional market frameworks and also under very traditional
regulatory settings. As the new products reach a tipping point in terms
of adoption, under what will become a newly defined consumer usage
preference, major market and regulatory changes will occur.
In
the case of electricity, the potential of real time, cost reflective
pricing13, made possible by
successively cheaper smart meters and utilities seeking to improve
profitability by smoothing demand curves and optimising expensive
capital assets, is now a reality. Once cost reflective pricing is
introduced, and becomes accepted, it will generate a wide range of
radical, but very practical applications for consumers, such as home
generation, storage and offset options.14
This will be like the difference between the original dot.com revolution
and what is widely referred to as Web 2.0.15
The dot.com boom bought great hype, but did not necessary fundamentally
change how business was conducted. That was the late 1990s and early
2000s. By the mid to late 2000s, the internet technologies were refined,
consumers had started using them in ways they were comfortable and
market structures and business models16
were redefined, hence Web 2.0.
Electricity usage
and consumption patterns are at a stage akin to the dot.com boom. While
there are many “revolutionary new products” they are simply fitting into
existing market frameworks and there is no real fundamental change.
However, closer to 2020, we will see a transformation in the electricity
sector similar to Web 2.0.
Smart meters,
storage devices (such as electric cars), micro-generation and,
importantly novel consumer contracts — for example linking electric car
purchase to an electricity contract —
will be rolled out in a way which fills consumer needs and is no
longer defined by outdated market structures and even more outdated
regulatory settings.
What does this mean? Firstly, as with the early stage of the dot.com
boom, there will be a frenzy of being at the crest of the wave of this
“paradigm shift”. A number of platforms and products will compete to
define standards and sustainable business models, and some governments
will “back the wrong horse” in pushing a particular technology, or
define a system which locks a society into a particular, and ultimately
unsuccessful, standard. Western nations will be constrained due to
extensive (and old) electricity infrastructure. This will limit radical
immediate options; although some climate change advocates wish to impose
significant transformations to the system, despite the large costs. In
the now developing nations, where societies are enthusiastically
embracing Western middle class lifestyles, a clean sheet approach will
see significant innovation and novel approaches to electricity
provision. During this period, the markets for physical electricity
infrastructure assets, and, over time, electricity software, will be
focused on developing nations, with the prospect of say Delhi or
Beijing, by the mid-2020s, being more influential in electricity
standards than North America or Europe is today. The People’s Republic
of China is already becoming central to new High Voltage Alternating
Current technologies.17 While this may
seem a lower order security issue, it raises significant challenges,
especially as the threat matrix evolves.
An Evolving Security
Matrix
The analysis in this paper points to fundamental changes to the electricity grid around the year 2020. The current transition and introduction of new products points to superficial change, which gets confused as a substantial departure from the past. This acceleration of the deployment of new systems will see the grid move in ways unexpected, even to the point where it may no longer be required in locations. The example most frequently used during this paper is telecommunications. The question is then, what will the grid security matrix look like and how will it change over time?
While the smart grid may reach its highest level of rollout around 2020,
it will be this following decade, the 2020s, when the system and market
finds an equilibrium in terms of new settings. As this occurs, the
business model will become commoditised and the software driving the
interconnected, but independent, micro-grids will become the key focus.
In this scenario, the New England blackouts of 200318
caused by a tree falling on a key transmission line, would only result
in a minor, localised disruption, whereas a cyber attack could shutdown
a nation’s grid and subsidiary micro-grids.
The emphasis of
software grid security risks may accelerate more than forecast,
especially if there is a dominant provider, such as Microsoft is to PCs.
The vulnerability to faults and weaknesses could potentially reach a
continental or global level. In this case, the evolution of grid
software, and grid software providers, should be closely monitored and
consideration given to control over software code and ownership
modalities.
The
other security question is what company or companies will build, update
and monitor the smart grid, smart meters and, highlighted above, the
software. We are now at a point where many of these technologies are
already being deployed without necessary attention given to improving
security against hostile infiltration. For example, the use of SCADA19
(supervisory
control and data acquisition),
where connecting the Internet and localized networks, can increase the
potential for external access and electronic attacks.
Societies need to be very conscious of the fact that there is a very
real escalation of security risk when going for smart grids and
metering, despite the obvious boost to energy efficiency. However, this
is not being discussed. The Russia and Estonia mock cyber attack and
grid vulnerability are only now being discussed together. The most
public review of this was a much quoted, but rather simplistic article
in the Wall Street Journal,
titled: “Electricity Grid in US Penetrated By Spies”.20
Like this article, and subsequent commentary, much of the analysis on
future grid security suffers from:
· An
overwhelming focus on technological options and not consumer
preferences;
· Limited
understanding by security analysts of how grid and electricity systems
actually work;
· The
distortion of the energy debate by renewable energy enthusiasts who have
little interest in economics, system stability or security issues;
· A
shortage of technologically savvy, skilled analysts which understand
electricity systems and security issues that are not confined to trying
to find a Cold War framework where it does not exist; and
· An
overwhelming focus by many security analysts on what is termed,
non-traditional state actors, which use 9/11 as a reference point for
the 2010s and 2020s21, often ignoring
the emerging threat matrix and new, hybridising actors.
By avoiding these pitfalls in analysis, and using an evolving grid security matrix, analysts, utility and government officials can understand the challenges ahead, without viewing the future through rose coloured glasses or in overly optimistic terms. To help with this process, engaging psychologists in understanding consumer behaviour trends will be as critical as talking with electrical engineers about “the next big thing”. Importantly, the consumer and economic benefits of the rollout in new technologies must be accompanied by a discussion on the impact this will have on the threat matrix. In strategic terms of the potential of foreign enemies engaging in cyber warfare, as President Obama foreshadowed, it may be worth re-reading a now 40-year old book, The Strategy of Technology.22
While written in the context of the Cold War,
The Strategy of Technology is
particularly relevant for analysis of electricity grid security and how
defending this will become part of the 21st Century “Technological War”,
which will not be between superpowers, but rather between new and
existing power centers competing for regional dominance. The authors of
The Strategy of Technology
noted: “Technological War can
be carried on simultaneously with any other forms of military conflict,
diplomatic manoeuvres, peace offensives, trade agreements,
détente,
and débacle. It is the source of the advanced weapons and equipment for
use in all forms of warfare. ... Technological warfare combined with
psychosocial operations can lead to a position of strategic dominance.”23
Footnotes:
1. Peter Waldman, “Google’s Power Play”,
Portfolio, February
10, 2009, at
www.portfolio.com/news-markets/national-news/portfolio/2009/02/10/Googles-Pursuit-of-Green-Energy/index.html
[accessed January 22, 2010].
2.
Smart meters are advanced electronic, two-way communication
electricity monitoring devices, designed to make energy usage
more efficient and economically viable. They enable customer
control over energy usage, providing real time updates on
electricity prices and detailed electricity management
information. Smart meters can be installed as part of
traditional electricity networks or smart grids and are being
increasingly deployed in states such as Canada, the United
Kingdom and Italy.
3.
Smart grids refer to technologically superior, decentralised and
complex power networks which facilitate more efficient and
reliable electricity generation, transmission and distribution
between localised points of entry and national networks. These
intelligent, self-sufficient network control systems (smart
grids) could offer benefits of real time management of
electricity distribution and adjusting flows in response to peak
load impacts, interruptions in generation or transmission, and
redistributing electricity accordingly in order to achieve a
more efficient power system. Smart grid technologies have the
potential to integrate localized renewable generation sources
and storage units into power grids, as well as facilitating
greater consumer –grid interaction and mitigating excess
physical infrastructure additions.
4.
See Andrew Pickford and Yasmine Yakushova, “A Watershed Time in
Planning Future Energy Infrastructure Requirements”,
Defense & Foreign Affairs
Special Analysis, December 2, 2009, Volume XXVII, No 66.
5.
The term ‘cloud computing’ can be applied broadly to hosted IT
services delivered via the Internet (or the “cloud”). Cloud
services, typically Infrastructure-as-a-Service (IaaS),
Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS),
offer access to software applications, vast amounts of data
centralisation and virtual computing services through an
off-site third party provider. Cloud computing limits the need
for customers to acquire additional IT infrastructure and allows
them to pay only for the services they require. The 2000s saw a
relatively swift expansion of cloud computing services, such as
with Amazon Web Expansion, Google and IBM, although security
concerns prevail over exposed web portals connecting to
centralised data compilations being vulnerable to unauthorised
access.
6.
Cloud computing has been facilitated by cheap IT, essentially
free broadband data communication and a de-linking of physical
electronic assets with data storage and use.
7.
This is not an isolated trend with Mitsubishi Heavy developing a
reactor with output of around 350,000 kilowatts and Hitachi is
developing reactors with output of 400,000-600,000 kilowatts in
conjunction with General Electric. Elaine Lies, “Toshiba, others
developing small nuclear reactors: report”,
Reuters, October 23,
2009, at
http://www.reuters.com/article/GCA-GreenBusiness/idUSTRE59N0CN20091024
[accessed October 25, 2009].
8.
Each of these NAS batteries are capable of delivering one
megawatt of power and are being installed by the US American
Electric Power utility to improve wind generation efficiency,
costing approximately $27-million per six megawatts of storage
capacity. Matthew L. Wald,
‘Utility
Will Use Batteries to Store Wind Power’,
The New York Times,
September 11, 2007, at
http://www.nytimes.com/2007/09/11/business/11battery.html
?scp=1&sq=utility+will+use+batteries+to+store+wind+power+&st=nyt
[accessed January 21, 2009]; and “NAS battery supplied to MTA
New York city Transit bus depot in the United States”, NKG News,
February 4, 2009, at
www.ngk.co.jp/english/news/2009/0204/html
[accessed January 23, 2009].
9.
Bulk storage units aim to have the capacity to provide base load
electricity from stored energy, derived, for example, from solar
power, rather than sporadic contributions to the grid in
stabilization. Pending further refinement and reduction of
manufacturing costs, examples include compressed air energy
storage (CAES) and flow battery systems with the capacity to
generate between two kilowatts and two megawatts for up to 24
hours.
10.
Smart charging will be where the grid and electric cars
communicate to enable electric car batteries to charge at
lowest-cost times based on the possibility of utilities raising
peak hour electricity rates to mitigate strains on the grid.
11.
The Editors,
“The
Future of Cars”,
Article 743, Scientific
American, November 2009, pp 88-92.
12.
Stephanie Simon, “The More You Know...”
The Wall Street Journal,
February 9, 2009, at
http://online.wsj.com/article/SB123378462447149239.html
[accessed January 20, 2010].
13.
Whereas in analogue grid systems,
where utilities charge customers based on periodic meter
readings of static electricity prices, cost reflective, real
time pricing will allow for electricity to be billed
specifically based on how much was used and when. This will be
facilitated by smarter technologies which enable utilities to
track electricity usage in real time and charge accordingly in
response to when energy prices rise and fall, as well as
interactive digital meters which relay real time electricity
rates to customers.
14.
While regulation may limit the formal introduction of variable
tariffs, industry will move to defacto price decimation on the
various points on the demand curve. The cinema industry has
accelerated its use of this model and it can be done through
indirect price mechanisms with the same effect (i.e. limiting
vouchers and concessions at certain times of the day and for
peak viewing such as Saturday nights).
15.
The dot.com revolution (or dot.com
“bubble”) refers to when, in the late 1990s, there was huge a
jump in Internet stock prices related to the increasing
popularity of Internet services. This crashed in connection with
the fall of the US NASDAQ in the early 2000s, leaving the
telecommunications industry in major debt and disarray. The
so-called Web 2.0 era refers to the renewed mass market interest
in (and consequential high prices of) Internet companies, based
on more interactive, dynamic product delivery which has also
been facilitated by wide-spread broadband access. However,
again, surges in the value of these companies are based on their
perceived ability to attract mass audiences and fulfill
advertising obligations, rather than generating revenue. Brad
Stone and Matt Richtel, “Dot-com fever stirs sense of
déja vu”,
The New York Times,
October 16, 2007, at
www.nytimes.com.2007/10/16/technology/16iht-bubble.5.7918040.html?pagewanted=1&_r=1
[accessed January 22, 2010].
16. This is still occurring in the newspaper business with
significant adjustments remaining to be implemented.
17.
This refers to the 1,000 kilovolt Ultra High Voltage (UHV)
transmission demonstration project in the People’s
Republic of China (PRC). This project began as a review of
various historical studies which the State Grid Corporation of
China used to begin its own research and development on more
than 200 key technologies such as voltage standards,
electro-magnetic environment, overvoltage and insulation
co-ordination, lightning protection, high altitude, heavy
pollution, large power grid control and voltage control. Tinbiao
Shu, ‘A Milestone in Global Power Industry: Chinese UHV AC
Demonstration Project Commence Operation’, Electra, No
242, February 2009, pp 4-7.
18.
Jaime Holguin, “Biggest Blackout In US History”,
CBS News, August 15,
2003, at
www.cbsnews.com/stories/2003/08/15/national/main568422.shtml
[accessed January 23, 2010].
19.
SCADA (supervisory
control and data acquisition)
systems monitor and supervise physical processes through the
acquisition, management and deployment of data and automated
instruction abilities. Hardware components consisting of remote
terminal units, which control and operate simple physical
devices, are directed by supervisory software, which then
communicates with human-machine interface points and displays
essential information for system controllers. SCADA systems can
administer and control industrial and smaller-scale operations,
such as electricity networks. Since originally designed, there
has been an increasing amount of connection between SCADA
networks and points of entry to the Internet, which, coupled
with widespread installation, exposes control systems and
physical asset operation.
20.
Siobhan Gorman, “Electricity Grid in US Penetrated By Spies”,
The Wall Street Journal,
April 8, 2009, at
http://online.wsj.com/article/SB123914805204099085.html
[accessed January 21, 2010].
21. John M. McConnell, “Fragile web”,
Jane’s Intelligence
Review, January 14, 2010.
22. Stefan T. Possony, PhD;
Jerry E. Pournelle, PhD and Col. Francis X. Kane, Ph.D.
(USAF Ret.), The Strategy
of Technology, Dunellen, The University Press of Cambridge,
Massachusetts, US, 1970.