Compress paper into strict 10 pg limit
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@ -50,7 +50,7 @@ Conference}{December 5--9}{Austin, TX, USA}
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\city{Tel Aviv}
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\country{Israel}
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}
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\email{lirankat@tau.ac.il}
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\email{lirankatzir@tau.ac.il}
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\author{Björn Scheuermann}
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\affiliation{
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@ -196,7 +196,7 @@ modifications.
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\begin{figure}
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\centering
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\includegraphics[width=0.4\textwidth]{flowchart}
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\includegraphics[width=0.45\textwidth]{flowchart}
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\caption{Structural overview of our concept. 1 - Government authority or utility operations center. 2 - Emergency
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radio link. 3 - Aluminium smelter. 4 - Electrical grid. 5 - Target smart meter.}
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\Description{A schematic overview of the safety reset system with its parts represented by icons. A signal is sent
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@ -394,8 +394,6 @@ communication for smart meter reading~\cite{ec03,rs48,gungor01,agf16}.
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\section{Related work}
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\label{sec_related_work}
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\subsection{IoT and Smart Grid security}
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The security of IoT devices as well as the smart grid has received extensive attention in the
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literature~\cite{nbck+19,acsc20,smp18,ykll17,anderson01,anderson02,zlmz+21,kgma21,hcb19,mpdm+10,lzlw+20,chl20,lam21,olkd20,yomu+20}.
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The challenges of IoT device security and the security of smart meters and other smart grid devices are similar because
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@ -612,30 +610,29 @@ distance between anode and cathode. In this setup, power can be electronically
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Since the system does not have any mechanical inertia, high modulation rates are possible.
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In~\cite{depree01}, the authors describe a setup where a large Aluminium smelter in continental Europe is used as
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primary control reserve for frequency regulation. In this setup, a rise time of $\SI{15}{\second}$ was achieved to meet
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the $\SI{30}{\second}$ requirement posed by local standards for primary control. In their conclusion, the authors note
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that for their system, an effective thermal energy storage capacity of $\SI{7.7}{\giga\watt\hour}$ is possible if all
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plants of a single operator are used. Given the maximum modulation depth of $\SI{100}{\percent}$ for up to one hour that
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is mentioned by the authors, this results in an effective modulation power of $\SI{7.7}{\giga\watt}$. Over a longer
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time span of $\SI{48}{\hour}$, they have demonstrated a $\SI{33}{\percent}$ modulation depth which would correspond to a
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modulation power of $\SI{2.5}{\giga\watt}$. We conclude that a modulation of part of an aluminium smelter's power
|
||||
consumption is possible at no significant production impact and at low infrastructure cost. Aluminium smelters are
|
||||
already connected to the grid in a way that they do not pose a danger to other nearby consumers when they turn off or on
|
||||
parts of the plant, as this is commonplace during routine maintenance activities.
|
||||
primary control reserve for frequency regulation. Their system achieved a rise time of $\SI{15}{\second}$, meeting the
|
||||
local $\SI{30}{\second}$ requirement for primary control. The authors calculated that their system can provide an
|
||||
equivalent thermal energy storage capacity of $\SI{7.7}{\giga\watt\hour}$ using all plants of a single operator. At the
|
||||
maximum modulation depth of $\SI{100}{\percent}$ for up to one hour that the paper cites, the resulting effective
|
||||
modulation power is $\SI{7.7}{\giga\watt}$. Over a longer time span of $\SI{48}{\hour}$, they have demonstrated a
|
||||
$\SI{33}{\percent}$ modulation depth which would correspond to a modulation power of $\SI{2.5}{\giga\watt}$. The
|
||||
experiment from~\cite{depree01} shows that a modulation of part of an aluminium smelter's power consumption is possible
|
||||
at no significant production impact and at low infrastructure cost. Aluminium smelters are already connected to the grid
|
||||
in a way that they do not pose a danger to other nearby consumers when they turn off or on parts of the plant, as this
|
||||
is commonplace during routine maintenance activities.
|
||||
|
||||
\subsection{The operational model of a GFM-based safety reset}
|
||||
\subsection{Operating a GFM safety reset}
|
||||
|
||||
While a single large Aluminium smelter could conceivably provide sufficient modulation power to cover the entire
|
||||
continental European synchronous area, we have to consider operation during a black start, when the grid temporarily
|
||||
divides into a number of disconnected power islands. A single transmitter would only be able to reach receivers on the
|
||||
same power island.
|
||||
|
||||
To alleviate this constraint, the system can use a number of transmitters that are distributed throughout the network.
|
||||
Piggy-backing transmitters on existing industrial loads keeps the implementation cost of additional transmitters low. By
|
||||
running transmitters from stable, synchronized frequency standards such as gps-disciplined rubidium standards,
|
||||
transmissions can be precisely synchronized across power islands even after a holdover period of several days. This
|
||||
allows a transmission to continue uninterrupted while the utility rejoins power island into the larger grid, since the
|
||||
transmissions on both islands are precisely synchronized.
|
||||
To alleviate this constraint, a number of smaller transmitters throughout the network can be synchronized to act in
|
||||
unison. Using existing industrial loads keeps the implementation cost of additional transmitters low. GPS-disciplined
|
||||
frequency standards can keep transmissions synchronized across power islands even after a holdover period of several
|
||||
days. When the utility rejoins power islands into the larger grid, the synchronized transmissions will constructively
|
||||
interfere.
|
||||
|
||||
As illustrated in Figure~\ref{fig_intro_flowchart}, the transmitters are connected to a command center. For this
|
||||
connection, a redundant set of long-range radio or satellite links can be used, as well as wired connections through the
|
||||
|
|
@ -709,7 +706,7 @@ durations move our signals' bandwidth into the lower-noise region from $\SI{0.2}
|
|||
|
||||
\begin{figure}
|
||||
\centering
|
||||
\includegraphics[width=0.45\textwidth]{../notebooks/fig_out/dsss_gold_nbits_overview}
|
||||
\includegraphics[width=0.3\textwidth]{../notebooks/fig_out/dsss_gold_nbits_overview}
|
||||
\caption{Symbol Error Rate as a function of modulation amplitude for Gold sequences of several lengths.}
|
||||
\Description{A plot of symbol error rate versus amplitude in millihertz. The plot shows four lines, one each for 5
|
||||
bit, 6 bit, 7 bit and 8 bit. All four lines form smooth step functions, plateauing at a symbol error rate of 1.0 for
|
||||
|
|
@ -765,7 +762,7 @@ durations move our signals' bandwidth into the lower-noise region from $\SI{0.2}
|
|||
\label{fig_ser_chip}
|
||||
\end{figure}
|
||||
|
||||
\subsection{Parameterizing a proof-of-concept ``Safety Reset'' System Based on GFM}
|
||||
\subsection{Parameterizing a PoC GFM ``Safety Reset''}
|
||||
|
||||
%FIXME introduce scenario
|
||||
Taking these modulation parameters as a starting point, we proceeded to create a proof-of-concept smart meter emergency
|
||||
|
|
@ -832,7 +829,7 @@ without triggering them to reset.
|
|||
|
||||
\begin{figure}
|
||||
\centering
|
||||
\includegraphics[width=0.45\textwidth]{prototype.jpg}
|
||||
\includegraphics[width=0.35\textwidth]{prototype.jpg}
|
||||
\caption{The completed prototype setup. The board on the left is the safety reset microcontroller. It is connected
|
||||
to the smart meter in the middle through an adapter board. The top left contains a USB hub with debug interfaces to
|
||||
the reset microcontroller. The cables on the bottom left are the debug USB cable and the \SI{3.5}{\milli\meter}
|
||||
|
|
@ -854,6 +851,19 @@ connected to the main application microcontroller of a smart meter. The reset co
|
|||
authenticated reset commands on the voltage waveform, and on reception of such a command resetting the smart meter
|
||||
application controller by flashing a known-good firmware image to its memory.
|
||||
|
||||
For our proof of concept, before settling on the commercial smart meter we first tried to use an \texttt{EVM430-F6779}
|
||||
smart meter evaluation kit made by Texas Instruments. This evaluation kit did not turn out well for two main reasons.
|
||||
One, it shipped with half the case missing and no cover for the high-voltage terminal blocks. Because of this some work
|
||||
was required to get it electrically safe. The second issue we ran into was that the development board is based around a
|
||||
specific microcontroller from TI's \texttt{MSP430} series that is incompatible with common JTAG programmers.
|
||||
|
||||
Our initial assumption that a development kit would be easier to program than a commercial meter did not prove to be
|
||||
true. Contrary to our expectations the commercial meter had JTAG enabled allowing us to easily read out its stock
|
||||
firmware requiring neither reverse-engineering vendor firmware update files nor circumventing code protection measures.
|
||||
The fact that its firmware was only available in its compiled binary form was not much of a hindrance as it proved not
|
||||
to be too complex and all we wanted to know we found with just a few hours of digging in
|
||||
Ghidra\footnote{\url{https://ghidra-sre.org/}}.
|
||||
|
||||
The signal processing chain of our PoC is shown in Figure~\ref{fig_demo_sig_schema}. To interoperate with existing
|
||||
implementations of SHA-512 and reed-solomon decoding, this implementation was written in the C programming language. To
|
||||
demonstrate an application close to a field implementation, we chose an Easymeter \texttt{Q3DA1002} smart meter as our
|
||||
|
|
@ -888,11 +898,17 @@ the meter's display after boot-up.
|
|||
To measure grid frequency in our demonstrator, we ported the same code we used in
|
||||
Section~\label{grid-freq-characterization} to our demonstrator, again using the voltage measured using the
|
||||
microcontroller's internal ADC but using a regular crystal instead of a crystal oven for the microcontroller's system
|
||||
clock. Since we did not have an aluminium smelter ready, we decided to feed our proof-of-concept reset controller with
|
||||
an emulated grid voltage sine wave from a computer's headphone jack. Where in a real application this microcontroller
|
||||
would take ADC readings of input mains voltage divided down by a long resistive divider chain, we instead feed the ADC
|
||||
from a $\SI{3.5}{\milli\meter}$ audio input. For operational safety, we disconnected the meter microcontroller from its
|
||||
grid-referenced capacitive dropper power supply and connected it to our reset controller's debug USB power supply.
|
||||
clock. We decided to feed our proof-of-concept reset controller with an emulated grid voltage sine wave from a
|
||||
computer's headphone output. Where in a real application this microcontroller would take ADC readings of input mains
|
||||
voltage divided down by a long resistive divider chain, we instead feed the ADC from a $\SI{3.5}{\milli\meter}$ audio
|
||||
input. For operational safety, we disconnected the meter microcontroller from its grid-referenced capacitive dropper
|
||||
power supply and connected it to our reset controller's debug USB power supply.
|
||||
|
||||
In the firmware development phase of our proof of concept, we tested every module such as DSSS demodulator, Reed-Solomon
|
||||
decoder, or grid frequency estimation individually. This approach proved very useful for debugging. The modular
|
||||
architecture allowed us to directly compare our demodulator implementation to our Jupyter/Python prototype, where we
|
||||
found that our C implementation outperformed the Python prototype. Despite the algorithms's complexity, the
|
||||
microcontroller C implementation has no issues processing data in real-time due to the low sampling rate necessary.
|
||||
|
||||
We performed several successful experiments using a signature truncated at 120 bit and a 5 bit DSSS sequence. Taking the
|
||||
sign bit into account, the length of the encoded signature is 20 DSSS symbols. On top of this we used Reed-Solomon error
|
||||
|
|
@ -901,49 +917,6 @@ other simulations as well this equates to an overall transmission duration of ap
|
|||
the demodulator some time to settle and to produce more realistic conditions of signal reception we padded the modulated
|
||||
signal with unmodulated noise on both ends.
|
||||
|
||||
\section{Lessons learned}
|
||||
|
||||
For our proof of concept, before settling on the commercial smart meter we first tried to use an \texttt{EVM430-F6779}
|
||||
smart meter evaluation kit made by Texas Instruments. This evaluation kit did not turn out well for two main reasons.
|
||||
One, it shipped with half the case missing and no cover for the high-voltage terminal blocks. Because of this some work
|
||||
was required to get it electrically safe. Even after mounting it in an electrically safe manner the safety reset
|
||||
controller prototype would also have to be galvanically isolated to not pose an electrical safety risk since the main
|
||||
MCU is not isolated from the grid and the JTAG port is also galvanically coupled. The second issue we ran into was that
|
||||
the development board is based around a specific microcontroller from TI's \texttt{MSP430} series that is incompatible
|
||||
with common JTAG programmers.
|
||||
|
||||
Our initial assumption that a development kit would be easier to program than a commercial meter did not prove to be
|
||||
true. Contrary to our expectations the commercial meter had JTAG enabled allowing us to easily read out its stock
|
||||
firmware requiring neither reverse-engineering vendor firmware update files nor circumventing code protection measures.
|
||||
The fact that its firmware was only available in its compiled binary form was not much of a hindrance as it proved not
|
||||
to be too complex and all we wanted to know we found with just a few hours of digging in
|
||||
Ghidra\footnote{\url{https://ghidra-sre.org/}}.
|
||||
|
||||
In the firmware development phase we tested every module such as DSSS demodulator, Reed-Solomon decoder, or grid
|
||||
frequency estimation individually. This approach proved particularly useful for debugging. The modular architecture
|
||||
allowed us to directly compare our demodulator implementation to our Jupyter/Python prototype, where we found that our C
|
||||
implementation outperformed the Python prototype. Despite the algorithms's complexity, the microcontroller C
|
||||
implementation has no issues processing data in real-time due to the low sampling rate necessary.
|
||||
|
||||
\section{Conclusion}
|
||||
\label{sec_conclusion}
|
||||
|
||||
In this paper we have developed an end-to-end design for a safety reset system that provides these capabilities.
|
||||
Our novel broadcast data transmission system is based on intentional modulation of global grid frequency. Our system is
|
||||
independent of normal communication networks and can operate during a cyber attack. We have shown the practical
|
||||
viability of our end-to-end design through simulations. Using our purpose-designed grid frequency recorder, we can
|
||||
capture and process real-time grid frequency data in an electrically safe way. We used data captured this way as the
|
||||
basis for simulations of our proposed grid frequency modulation communication channel. In these simulations, our system
|
||||
has proven feasible. From our simulations we conclude that a large consumer such as an aluminium smelter at a small cost
|
||||
can be modified to act as an on-demand grid frequency modulation transmitter.
|
||||
|
||||
We have demonstrated our modulation system in a small-scale practical demonstration. For this demonstration, we have
|
||||
developed a simple cryptographic protocol ready for embedded implementation in resource-constrained systems that allows
|
||||
triggering a safety reset with a response time of less than 30 minutes. In this demonstration we use simulated grid
|
||||
frequency data to trigger a commercial microcontroller to perform a firmware reset of an off-the-shelf smart meter. The
|
||||
next step in our evaluation will be to conduct an experimental evaluation of our modulation scheme in collaboration with
|
||||
an utility and an operator of a multi-megawatt load.
|
||||
|
||||
\subsection{Discussion}
|
||||
|
||||
During an emergency in the electrical grid, the ability to communicate to large numbers of end-point devices is a
|
||||
|
|
@ -967,7 +940,27 @@ a practical demonstration of broadcast data transmission through grid frequency
|
|||
controllable load as well as further optimization of the modulation and data encoding and the demodulator
|
||||
implementation.
|
||||
|
||||
\subsection{Artifacts}
|
||||
\section{Conclusion}
|
||||
\label{sec_conclusion}
|
||||
|
||||
In this paper we have developed an end-to-end design for a safety reset system that provides these capabilities.
|
||||
Our novel broadcast data transmission system is based on intentional modulation of global grid frequency. Our system is
|
||||
independent of normal communication networks and can operate during a cyber attack. We have shown the practical
|
||||
viability of our end-to-end design through simulations. Using our purpose-designed grid frequency recorder, we can
|
||||
capture and process real-time grid frequency data in an electrically safe way. We used data captured this way as the
|
||||
basis for simulations of our proposed grid frequency modulation communication channel. In these simulations, our system
|
||||
has proven feasible. From our simulations we conclude that a large consumer such as an aluminium smelter at a small cost
|
||||
can be modified to act as an on-demand grid frequency modulation transmitter.
|
||||
|
||||
We have demonstrated our modulation system in a small-scale practical demonstration. For this demonstration, we have
|
||||
developed a simple cryptographic protocol ready for embedded implementation in resource-constrained systems that allows
|
||||
triggering a safety reset with a response time of less than 30 minutes. In this demonstration we use simulated grid
|
||||
frequency data to trigger a commercial microcontroller to perform a firmware reset of an off-the-shelf smart meter. The
|
||||
next step in our evaluation will be to conduct an experimental evaluation of our modulation scheme in collaboration with
|
||||
an utility and an operator of a multi-megawatt load.
|
||||
|
||||
\appendix
|
||||
\section{Artifacts}
|
||||
|
||||
Source code for the demonstrator and simulations, as well as hardware EDA designs are available at the public git
|
||||
repository at the following URL:
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue