518 research outputs found
Protection strategy in active DC power distribution networks
Environmental incentives to combat climate change are providing the motivation to improve
the energy efficiency of power distribution systems and integrate state-of-the-art
renewable technologies. DC distribution networks are receiving considerable attention
in the literature because they offer a simple and
flexible interface between these modern
resources and consumers. However, many technical challenges relating to the design
and standardisation of DC protection devices still exist that must be overcome prior to
widespread adoption. Since DC fault current develops rapidly, many high-speed protection
schemes tailored for DC networks have been proposed. However, few of them
have considered the difficulties in practical implementation. This thesis will present
the implementation challenges and propose corresponding protection schemes to address
the issues.
In seeking to achieve this aim, the work presented within this thesis makes three
main contributions. This thesis has fi�rstly improved the reliability of the high-speed
DC differential protection scheme. The main implementation challenge of this scheme
is that a short time synchronisation error may cause a signi�ficant current difference
error, resulting in a false-trip problem when a fault occurs outside the protected zone.
This thesis has proposed a "multi-sample differential (MSD) protection scheme" to ensure
the protection stability for external zone faults (i.e., the relays must not operate)
whilst maintaining sensitivity for internal zone faults (i.e., the relays must operate) by
examining multiples measurement samples.
Secondly, the difficulty in realising high-speed DC distance protection is that measurement
of rate-of-change of current can be severely affected by even low-level noise,
resulting in a failure in fault detection. This thesis has presented the methodology
for selecting the appropriate sampling time of the numerical derivative as well as the
cut-off frequency of low-pass current measurement �lfiters.
Although high-speed protection schemes can effectively isolate faults quickly, their
implementation requires many advanced devices, which may not be economical for lowpower
and low-cost DC networks. Finally, this thesis has proposed a "modulated low
fault-energy (MLE) protection scheme" that employs fault current limiters (FCL) at
the grid energy sources and mechanical circuit breakers (MCB) elsewhere throughout
the distributed network. This deployment can constrain the fault current to a lowenergy
level that enables a longer time window for the downstream MCBs to realise
protection with a lower total implementation cost.
Drawing conclusions from this PhD research, the author advocates that more consideration
should be given to implementation challenges when designing protection
schemes in DC distribution networks. Excessive pursuit of ultrafast fault isolation
speeds can lead to over-cost and protection instability issues in practice. A prospective
protection scheme must compromise between the high-speed protection requirements
in theory and the reliable but economical requirements in practice, to accelerate the
realisation of large-scale DC grids in future.Environmental incentives to combat climate change are providing the motivation to improve
the energy efficiency of power distribution systems and integrate state-of-the-art
renewable technologies. DC distribution networks are receiving considerable attention
in the literature because they offer a simple and
flexible interface between these modern
resources and consumers. However, many technical challenges relating to the design
and standardisation of DC protection devices still exist that must be overcome prior to
widespread adoption. Since DC fault current develops rapidly, many high-speed protection
schemes tailored for DC networks have been proposed. However, few of them
have considered the difficulties in practical implementation. This thesis will present
the implementation challenges and propose corresponding protection schemes to address
the issues.
In seeking to achieve this aim, the work presented within this thesis makes three
main contributions. This thesis has fi�rstly improved the reliability of the high-speed
DC differential protection scheme. The main implementation challenge of this scheme
is that a short time synchronisation error may cause a signi�ficant current difference
error, resulting in a false-trip problem when a fault occurs outside the protected zone.
This thesis has proposed a "multi-sample differential (MSD) protection scheme" to ensure
the protection stability for external zone faults (i.e., the relays must not operate)
whilst maintaining sensitivity for internal zone faults (i.e., the relays must operate) by
examining multiples measurement samples.
Secondly, the difficulty in realising high-speed DC distance protection is that measurement
of rate-of-change of current can be severely affected by even low-level noise,
resulting in a failure in fault detection. This thesis has presented the methodology
for selecting the appropriate sampling time of the numerical derivative as well as the
cut-off frequency of low-pass current measurement �lfiters.
Although high-speed protection schemes can effectively isolate faults quickly, their
implementation requires many advanced devices, which may not be economical for lowpower
and low-cost DC networks. Finally, this thesis has proposed a "modulated low
fault-energy (MLE) protection scheme" that employs fault current limiters (FCL) at
the grid energy sources and mechanical circuit breakers (MCB) elsewhere throughout
the distributed network. This deployment can constrain the fault current to a lowenergy
level that enables a longer time window for the downstream MCBs to realise
protection with a lower total implementation cost.
Drawing conclusions from this PhD research, the author advocates that more consideration
should be given to implementation challenges when designing protection
schemes in DC distribution networks. Excessive pursuit of ultrafast fault isolation
speeds can lead to over-cost and protection instability issues in practice. A prospective
protection scheme must compromise between the high-speed protection requirements
in theory and the reliable but economical requirements in practice, to accelerate the
realisation of large-scale DC grids in future
Renormalized solutions of a nonlinear parabolic equation with double degeneracy
In this paper, we consider the initial-boundary value problem of a nonlinear parabolic equation with double degeneracy, and establish the existence and uniqueness theorems of renormalized solutions which are stronger than solutions
MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks
Some recent works revealed that deep neural networks (DNNs) are vulnerable to
so-called adversarial attacks where input examples are intentionally perturbed
to fool DNNs. In this work, we revisit the DNN training process that includes
adversarial examples into the training dataset so as to improve DNN's
resilience to adversarial attacks, namely, adversarial training. Our
experiments show that different adversarial strengths, i.e., perturbation
levels of adversarial examples, have different working zones to resist the
attack. Based on the observation, we propose a multi-strength adversarial
training method (MAT) that combines the adversarial training examples with
different adversarial strengths to defend adversarial attacks. Two training
structures - mixed MAT and parallel MAT - are developed to facilitate the
tradeoffs between training time and memory occupation. Our results show that
MAT can substantially minimize the accuracy degradation of deep learning
systems to adversarial attacks on MNIST, CIFAR-10, CIFAR-100, and SVHN.Comment: 6 pages, 4 figures, 2 table
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