1,395 research outputs found
Evaluating On-demand Pseudonym Acquisition Policies in Vehicular Communication Systems
Standardization and harmonization efforts have reached a consensus towards
using a special-purpose Vehicular Public-Key Infrastructure (VPKI) in upcoming
Vehicular Communication (VC) systems. However, there are still several
technical challenges with no conclusive answers; one such an important yet open
challenge is the acquisition of shortterm credentials, pseudonym: how should
each vehicle interact with the VPKI, e.g., how frequently and for how long?
Should each vehicle itself determine the pseudonym lifetime? Answering these
questions is far from trivial. Each choice can affect both the user privacy and
the system performance and possibly, as a result, its security. In this paper,
we make a novel systematic effort to address this multifaceted question. We
craft three generally applicable policies and experimentally evaluate the VPKI
system performance, leveraging two large-scale mobility datasets. We consider
the most promising, in terms of efficiency, pseudonym acquisition policies; we
find that within this class of policies, the most promising policy in terms of
privacy protection can be supported with moderate overhead. Moreover, in all
cases, this work is the first to provide tangible evidence that the
state-of-the-art VPKI can serve sizable areas or domain with modest computing
resources.Comment: 6 pages, 7 figures, IoV-VoI'1
Component Outage Estimation based on Support Vector Machine
Predicting power system component outages in response to an imminent
hurricane plays a major role in preevent planning and post-event recovery of
the power system. An exact prediction of components states, however, is a
challenging task and cannot be easily performed. In this paper, a Support
Vector Machine (SVM) based method is proposed to help estimate the components
states in response to anticipated path and intensity of an imminent hurricane.
Components states are categorized into three classes of damaged, operational,
and uncertain. The damaged components along with the components in uncertain
class are then considered in multiple contingency scenarios of a proposed
Event-driven Security-Constrained Unit Commitment (E-SCUC), which considers the
simultaneous outage of multiple components under an N-m-u reliability
criterion. Experimental results on the IEEE 118-bus test system show the merits
and the effectiveness of the proposed SVM classifier and the E-SCUC model in
improving power system resilience in response to extreme events
Interdependency of Transmission and Distribution Pricing
Distribution markets are among the prospect being considered for the future
of power systems. They would facilitate integration of distributed energy
resources (DERs) and microgrids via a market mechanism and enable them to
monetize services they can provide. This paper follows the ongoing work in
implementing the distribution market operator (DMO) concept, and its clearing
and settlement procedures, and focuses on investigating the pricing conducted
by the DMO. The distribution locational marginal prices (D-LMPs) and their
relationship with the transmission system locational marginal prices (T-LMPs)
are subject of this paper. Numerical simulations on a test distribution system
exhibit the benefits and drawbacks of the proposed DMO pricing processes.Comment: Accepted to 2016 IEEE PES Innovative Smart Grid Technologies (ISGT
Distribution market as a ramping aggregator for grid flexibility support
The growing proliferation of microgrids and distributed energy resources in
distribution networks has resulted in the development of Distribution Market
Operator (DMO). This new entity will facilitate the management of the
distributed resources and their interactions with upstream network and the
wholesale market. At the same time, DMOs can tap into the flexibility potential
of these distributed resources to address many of the challenges that system
operators are facing. This paper investigates this opportunity and develops a
distribution market scheduling model based on upstream network ramping
flexibility requirements. That is, the distribution network will play the role
of a flexibility resource in the system, with a relatively large size and
potential, to help bulk system operators to address emerging ramping concerns.
Numerical simulations demonstrate the effectiveness of the proposed model on
when tested on a distribution system with several microgrids.Comment: IEEE PES Transmission and Distribution Conference and Exposition
(T&D), Denver, CO, 16-19 Apr. 201
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