The impact of cyber network configuration on the dynamic-thermal failure of transformers considering distributed generator controller

Author(s):  
M. Hamzeh ◽  
B. Vahidi
2014 ◽  
Vol 8 (3) ◽  
Author(s):  
Christoph Holst ◽  
Thomas Artz ◽  
Heiner Kuhlmann

AbstractThe estimates based on laser scans of surfaces with unknown deformations are biased and not reproducible when changing the scanning geometry. While the existence of a bias is only disadvantageous at some applications, non-reproducible estimates are never desired. Hence, this varying bias and its origin need to be investigated - since this situation has not been examined sufficiently in the literature. Analyzing this situation, the dependence of the estimation on the network configuration is highlighted: the network configuration - studied similarly to geodetic networks - rules about the impact of the deformation.As pointed out, this impact can be altered by manipulating the network configuration. Therefore, several strategies are proposed. These include manipulations of the leastsquares adjustment as well as robust estimation. It is revealed that the reproducibility of the estimates can indeed be significantly increased by some of the proposed leastsquares manipulations. However, the bias can only be significantly reduced by robust estimation.


2012 ◽  
Vol 502 ◽  
pp. 7-12 ◽  
Author(s):  
L.P. Ferreira ◽  
E. Ares ◽  
G. Peláez ◽  
M. Marcos ◽  
M. Araújo

This paper proposes a methodology to analyze complex manufacturing systems, based on discrete-event simulation models. The methodology was validated by performing different simulation experiments and will be applied to a multistage multiproduct production line, based on a real case, with a closed-loop network configuration of machines and intermediate buffers consisting of conveyors, which is very common in the automobile sector. A simulation model in an Arena environment was developed, which allowed for an analysis of the important aspects not yet studied in specialized literature, namely the assessment of the impact of the production sequence on the automobile assembly line. Various sequence rules were analyzed and the performance of each of the corresponding simulation models was registered.


2015 ◽  
Vol 785 ◽  
pp. 253-257
Author(s):  
Jasrul Jamani Jamian ◽  
M.W. Mustafa ◽  
Mohd Noor Abdullah

This paper discusses the optimal Distributed Generator (DG) coordination using the Particle Swarm Optimization (PSO) technique where the DG output and location are determined simultaneously. Furthermore, this study analyzes both single DG and multiple DGs configurations. The influence of DG Power Factor (PF) to the optimal DG placement and the DG output are investigated by varying the DG PF values. Specifically, the PF were configured to five values, which are 0.8, 0.85, 0.9, 0.95 and 1.0. From the results, the optimal DG placements are similar, regardless of the PF condition. For example, in the single DG unit experiment, the optimal DG location is at bus 6 whilst in the triple DG units test, the optimal locations are at busses 14, 24, and 30. In contrast, the value of PF significantly influences the optimal DG output and power loss reduction. This study concludes that the design with three DGs where their PFs are configured to 0.8 has the least power loss.


2014 ◽  
Vol 51 (4) ◽  
pp. 292-305 ◽  
Author(s):  
Saša Stojković ◽  
Miroslav Bjekić ◽  
ŽArko Janda

This work presents the use of the modern software tool Alternative Transients Program (ATP) in the teaching of power engineering, within the course Computer Aided Engineering. A simulation model is presented through which it is possible to analyse the effects of distributed generators (DG) on the operation of a distribution network in both a steady and a transient state, with the objective of fulfilling the conditions for connection. This problem was selected not only because it allows students to gain proper insight into the phenomena within a distribution network with a connected distributed generator, but also because it has been shown that the problem of educating engineers is often a constraining factor for implementing distributed generation (DG). It is shown that by using the software tool ATP-EMTP, very complex phenomena in large networks can be studied without great difficulty or the need for analytical methods. The problem-based learning (PBL) method was applied.


2012 ◽  
Vol 502 ◽  
pp. 103-108
Author(s):  
L.P. Ferreira ◽  
E. Ares ◽  
G. Peláez ◽  
B. Tjahjono ◽  
J.J. Areal

The work presented in this paper consists of the development of a decision making support system, based on a real problem, with the purpose of optimizing the operation of an automobile assembly line with a four closedloop network configuration. This layout system reflects one of the most common configurations of automobile assembly and preassembly lines formed by conveyors. The impact of the speed variation of the intermediate buffers formed by conveyors on the first three closed-loops and of the proportion of four-door car bodies on the number of cars produced / hour has been thoroughly investigated.


2014 ◽  
Vol 16 (6) ◽  
pp. 1375-1389 ◽  
Author(s):  
C. Tricarico ◽  
M. S. Morley ◽  
R. Gargano ◽  
Z. Kapelan ◽  
G. de Marinis ◽  
...  

The methodologies usually adopted in water distribution system redesign problems consider the topology of the network as an input fixed datum; optimisation solely allowing for the duplication/substitution of existing components. In order to contribute to the identification of optimal solutions that may lead to a lower risk of failure to supply the required water, together with a lower redesign cost, this paper proposes a novel methodology which reports the influence of the existing network configuration and its performance. In particular, the redundancy of loops and the robustness of the network topology are investigated by applying an optimisation technique based on a genetic algorithm and by taking into account the random water demand at each node. The methodology presented has been applied to two case studies, in which it considers the influence of the topology on the overall system reliability/risk. The results demonstrate that it is possible to obtain further configurations that are more reliable for a lower redesign cost. The analysis performed highlights the impact of the topology on the search for an optimal solution, which, as a principal conclusion of the work, should be considered among the decision variables taken into account by the optimisation in a redesign problem.


2020 ◽  
Vol 9 (5) ◽  
pp. 2065-2073
Author(s):  
Putri Monika ◽  
Ridha Muldina Negara ◽  
Danu Dwi Sanjoyo

Software Defined Network (SDN) provides high service flexibility to optimize network configuration based on network traffic. Traffic management able to solve traffic density in SDN. However, it will misuse the network bandwidth and links. One variant of the SDN controller, namely Open Network Operating System (ONOS), provides an Intent Monitor and Reroute (IMR) method that can optimize traffic management based on the description of an object in the ONOS application. This method can optimize the network bandwidth and links of SDN. The IMR can monitor the network and reconfigure the network to restore network connectivity by maximizing the use of each link when transmitting data. This study examines the impact of using IMR with a custom topology on ONOS to find the best scenario by performing traffic management on a data plane consisting of switches totaling 8-12 switches. The parameters measured in this study are bandwidth usage and quality of service (QoS). The results obtained in this study are IMR able to optimize the use of each link and maximize bandwidth usage in a network when distributing data and following TIPHON standards


Sign in / Sign up

Export Citation Format

Share Document