the application of neural networks to model a laboratory scale inverse fluidized bed reactor has been studied. a radial basis function neural network has been successfully employed for the modeling of the inverse fluidized bed reactor. in the proposed model, the trained neural network represents the kinetics of biological decomposition of organic matters in the reactor. the neural network has b...

This paper presents a novel approach for optimal reconfiguration of radial distribution systems. Optimal reconfiguration involves the selection of the best set of branches to be opened, one each from each loop, such that the resulting radial distribution system gets the desired performance. In this paper an algorithm is proposed based on simple heuristic rules and identified an effective switch...

The limitations of centralized optimization methods for power systems operation have led to the distributed computing paradigm, particularly in distribution systems. existing techniques reported recent literature solving problems are not viable applications. essential drawback remains a large number required communication rounds, i.e., macro-iterations among agents solve one instance problem; t...

The passive power distribution networks are prone to imperfect voltage profile and higher losses, especially at the far end of long feeders. capacitor placement is studied in this article using a novel Mine Blast Algorithm (MBA). improvement reduction net annual cost also considered along with minimizing loss. optimization problem formulated solved two steps. Firstly, Voltage Stability Index (V...

This paper presents a new and useful methodology for simultaneous allocation of sectionalizer switches and distributed energy resources (DERs) considering both reliability and supply security aspects. The proposed algorithm defines the proper locations of sectionalizer switching devices in radial distribution networks considering the effect of DER units in the presented cost function and other ...