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probabilistic-algorithm
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Joint expansion planning studies of EV parking lots placement and distribution network
, Article IEEE Transactions on Industrial Informatics ; Volume 16, Issue 10 , October , 2020 , Pages 6455-6465 ; Askarian Abyaneh, H ; Jooshaki, M ; Moeini Aghtaie, M ; Sharif University of Technology
IEEE Computer Society
2020
Abstract
Long-term distribution network planning (DNP) is considered as one of the most challenging issues for distribution network operators (DNOs). By increasing EVs in cities, it has appeared some new players such as electric vehicles (EVs) owners and electric vehicle parking lots (EVPLs) owners for DNP. In this article, we conduct a new study on the coupled dynamic expansion problem of EVPLs placement and distribution networks. To reach this goal, at first, EVs driving and charging/discharging behavior as some influential factors is modeled using an efficient probabilistic algorithm. An analytical model is then introduced to estimate the number of EVs in EVPLs at different times. To find out the...
Weak composite Diffie-Hellman
, Article International Journal of Network Security ; Volume 7, Issue 3 , 2008 , Pages 383-387 ; 1816353X (ISSN) ; Mohajeri, J ; Salmasizadeh, M ; Sharif University of Technology
2008
Abstract
In1985, Shmuley proposed a theorem about intractability of Composite Diffie-Hellman. The theorem of Shmuley may be paraphrased as saying that if there exist a probabilistic polynomial time oracle machine which solves the Diffie-Hellman modulo an RSA-number with odd-order bases then there exist a probabilistic algorithm which factors the modulo. In the other hand Shmuely proved the theorem only for odd-order bases and left the even-order case as an open problem. In this paper we show that the theorem is also true for even-order bases. Precisely speaking we prove that even if there exist a probabilistic polynomial time oracle machine which can solve the problem only for even-order bases still...
A novel probabilistic method for under frequency load shedding setting considering wind turbine response
, Article IEEE Transactions on Power Delivery ; Volume 37, Issue 4 , 2022 , Pages 2640-2649 ; 08858977 (ISSN) ; Sheikhi, A ; Sun, W ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
The Under Frequency Load Shedding (UFLS) is the last automated action to restore power system frequency stability when a severe contingency causes a significant drop in the frequency of interconnection or islanded areas. In this paper, a novel probabilistic algorithm that considers the wind turbine frequency response is proposed to design and optimize the UFLS scheme. The uncertainties of power systems such as wind speed, hourly load, inertia time constant, and generation losses are taken into account. The Monte-Carlo Simulation (MCS) method is used to model the power system uncertainties. Additionally, a novel method is developed to calculate the power system frequency response and...