25 research outputs found
Impact of increased distributed generation on fault levels and the network equipment
Attention towards the development of Distributed Generation (DG) is globally high. UK's concentration is to use sustainable and renewable sources to generate electricity thereby protecting the environment from getting polluted. In this paper, Distributed Generation concept is explored regarding the types, sizes, ratings, locations and benefits. It is very important to connect the developed distributed generator to the distribution network to satisfy the demand but without developing any faults and causing damage to the existing switchgear. Legal contracts that are required to be signed in order to connect the DG to the network and proper Protection Review to be followed in suppressing the faults are also mentioned. To study the impact of increased DG on fault levels, simulation approach is adopted. ETAP 7.1.0 is used to build a case study network and the results obtained are analyzed based on which critical comparison is made. The network comprises of three wind farms, each consisting of six wind turbines and a small hydroelectric plant. Various scenarios are considered and the results obtained are clearly analyzed. Protection is provided for the circuit and Star Device coordination study is performed. © JES 2014
Optimal allocation of FACTS devices in distribution networks using Imperialist Competitive Algorithm
Copyright © 2005-2015 Praise Worthy Prize. The publisher granted a permission to the author to archive this article in BURA.FACTS devices are used for controlling the voltage, stability, power flow and security of transmission lines. Imperialist Competitive is a recently developed optimization technique, used widely in power systems. This paper presents an approach to finding the optimal location and size of FACTS devices in a distribution network using the Imperialist Competitive technique. IEEE 30-bus system is used as a case study. The results show the advantages of the Imperialist Competitive technique over the conventional approaches. © 2013 Praise Worthy Prize S.r.l. - All rights reserved
"Swarm relaxation": Equilibrating a large ensemble of computer simulations
It is common practice in molecular dynamics and Monte Carlo computer
simulations to run multiple, separately-initialized simulations in order to
improve the sampling of independent microstates. Here we examine the utility of
an extreme case of this strategy, in which we run a large ensemble of
independent simulations (a "swarm"), each of which is relaxed to equilibrium.
We show that if is of order , we can monitor the swarm's relaxation
to equilibrium, and confirm its attainment, within , where
is the equilibrium relaxation time. As soon as a swarm of this size
attains equilibrium, the ensemble of final microstates from each run is
sufficient for the evaluation of most equilibrium properties without further
sampling. This approach dramatically reduces the wall-clock time required,
compared to a single long simulation, by a factor of several hundred, at the
cost of an increase in the total computational effort by a small factor. It is
also well-suited to modern computing systems having thousands of processors,
and is a viable strategy for simulation studies that need to produce
high-precision results in a minimum of wall-clock time. We present results
obtained by applying this approach to several test cases.Comment: 12 pages. To appear in Eur. Phy. J. E, 201
SMARCAD1 in Breast Cancer Progression
Background/Aims: Breast cancer is the most common cancer in women worldwide, and within this cancer type, triple-negative breast cancers have the worst prognosis. The identification of new genes associated with triple-negative breast cancer progression is crucial for developing more specific anti-cancer targeted therapies, which could lead to a better management of these patients. In this context, we have recently demonstrated that SMARCAD1, a DEAD/H box-containing helicase, is involved in breast cancer cell migration, invasion, and metastasis. The aim of this study was to investigate the impact of the stable knockdown of SMARCAD1 on human breast cancer cell progression. Methods: Using two different designs of shRNA targeting SMARCAD1, we investigated the impact of the stable knockdown of SMARCAD1 on human breast cancer cell proliferation and colony growth in vitro and on tumour growth in chick embryo and nude mouse xenograft models in vivo using MDA-MB-231 (ER-/PR-/ HER2-) and T47D (ER+/PR+/-/HER2-) human breast cancer cell lines. Results: We found that SMARCAD1 knockdown resulted in a significant decrease in breast cancer cell proliferation and colony formation, leading to the significant inhibition of tumour growth in both the chick embryo and nude mouse xenograft models. This inhibition was due, at least in part, to a decrease in IKKβ expression. Conclusion: These results indicate that SMARCAD1 is involved in breast cancer progression and can be a promising target for breast cancer therapy
When a Muon Is Not a Muon--- Detecting Fast Long-Lived Charged Particles from Cascade Decays Using a Mass Scan
If produced at the LHC, long-lived charged particles (LLCPs) would leave
tracks in the muon detector. Time-of-Flight based methods for detecting these
particles become less efficient if the LLCPs are fast, which would typically be
the case if they are produced in the decays of some mother particle which is
either heavy or very boosted. Thus for example, in supersymmetric models with
long-lived sleptons, the long-lived sleptons produced in neutralino decays are
often fast, with beta above 0.95 even at a 7 TeV LHC. We propose to use the
(mis-measured) invariant mass distribution of "muon"-lepton pairs, where the
"muon" could be a slepton LLCP, to detect it. This distribution peaks somewhat
below the neutralino mass. The peak can be further enhanced by evaluating the
distribution for different values of candidate "muon" masses. We simulate two
GMSB-like models to show that this procedure can be used to detect the
long-lived sleptons and measure both their mass and the neutralino mass.Comment: 14 pages, 16 figure
Regaining In-Group Continuity in Times of Anxiety about the Group's Future : A Study on the Role of Collective Nostalgia Across 27 Countries
Collective nostalgia for the good old days of the country thrives across the world. However, little is known about the social psychological dynamics of this collective emotion across cultures. We predicted that collective nostalgia is triggered by collective angst as it helps people to restore a sense of in-group continuity via stronger in-group belonging and out-group rejection (in the form of opposition to immigrants). Based on a sample (N = 5,956) of individuals across 27 countries, the general pattern of results revealed that collective angst predicts collective nostalgia, which subsequently relates to stronger feelings of in-group continuity via in-group belonging (but not via out-group rejection). Collective nostalgia generally predicted opposition to immigrants, but this was subsequently not related to in-group continuity. © 2018 Hogrefe Publishing.Peer reviewe