نتایج جستجو برای: unbalanced radial distribution network
تعداد نتایج: 1287614 فیلتر نتایج به سال:
Network reconfiguration (NR) is one of the most effective methods to reduce line power loss in distribution system, which causes higher losses than other parts system. This paper proposes a modified symbiotic organisms search (MSOS) algorithm solve NR problem. For purpose enhancing effectiveness MSOS, mutualism and parasitism strategies original (SOS) have been create better new solutions. In s...
In the event of a fault isolation process, all loads located downstream from faulted point become out service, and as consequence, power interruption affects greater portion radial distribution system. This paper proposes an optimal Service Restoration (SR) method that entails changing network topology configuration via tie-switch section switch combinations. However, when is performed, it resu...
Distributed Generators that use reactive power for voltage control in distribution networks reduce renewable curtailment but can significantly increase network losses, undermining the effectiveness of this control. This paper proposes Voltage Control Loss Factors (VCLFs) as a means understanding interactions between flows, losses and curtailment, focusing on commercial-scale generators radial s...
To estimate the Cation Exchange Capacity (CEC), indirect manner used of Pedotransfer Functions (PTFs). CEC is one of the important soil fertility factors, and not measured directly because it is costly and time consuming. Thus, used from regression equations between easily and non-easily soil properties. The purpose of this research, is develop the PTFs for CEC, with use of easily available soi...
Cell lineage analyses suggest that cortical neuroblasts are capable of undertaking both radial and tangential modes of cell movement. However, it is unclear whether distinct progenitors are committed to generating neuroblasts that disperse exclusively in either radial or tangential directions. Using highly unbalanced mouse stem cell chimeras, we have identified certain progenitors that are comm...
This paper proposes an artificial neural network RBF to classification using feature descriptors. The theoretical and practical aspects of theory F distributions with different degrees of freedom introduced. The distribution F densities are similar in shape, making it difficult to identify the differences between the two densities. This paper is concerned with separating these same probability ...
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