In spite of the significant advance achieved in development optimal power flow (OPF) programs, most solution methods reported literature have considerable difficulties dealing with different-nature objective functions simultaneously. By leveraging recent progress on semidefinite programming (SDP) relaxations OPF, present article, attention is focused modeling a new SDP-based multiobjective OPF ...

In this study, a multiobjective optimization is applied to Optimal Power Flow Problem (OPF). To effectively achieve this goal, a Multiobjective Ant Lion algorithm (MOALO) is proposed to find the Pareto optimal front for the multiobjective OPF. The aim of this work is to reach good solutions of Active and Reactive OPF problem by optimizing 4-conflicting objective functions simultaneously. Here a...

Renewable energies are increasingly integrated in electric distribution networks and will cause severe overvoltage issues. Smart grid technologies make it possible to use coordinated control to mitigate the overvoltage issues and the optimal power flow (OPF) method is proven to be efficient in the applications such as curtailment management and reactive power control. Nonconvex nature of the OP...

Optimization algorithms are very important for the Optimal Power Flow (OPF). They could be divided into two classes: traditional local search methods and heuristic global ones. Interior point (IP) algorithm has been known as one of the most prominent and fastest method, but its local exploitation characteristic leads to the fact that it could be easily trapped by local optimum. However, heurist...

Biomass wastes produced from oil palm mills and plantations include empty fruit bunches (EFBs), shells, fibers, trunks, and oil palm fronds (OPF). EFBs and shells are partially utilized as boiler fuel while the rest of the biomass materials like OPF have not been utilized for energy generation. No previous study has been reported on gasification of oil palm fronds (OPF) biomass for the producti...

Convex relaxation methods have been studied and used extensively to obtain an optimal solution to the optimal power flow (OPF) problem. Meanwhile, convex relaxed power flow equations are also prerequisites for efficiently solving a wide range of problems in power systems including mixed-integer nonlinear programming (MINLP) and distributed optimization. When the exactness of convex relaxations ...

An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the noninvasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists of steps such as preprocessing, segmentation, feature extraction and classification aiming to detect cardiac arrhythmias (i.e., cardiac rhythm abnormalities). Aiming to made a f...

This work developed biscuits with the partial substitution of wheat flour olive pomace (OPF). The contents substituted by OPF in were 0%, 10%, and 20%. effects on chemical composition, lipid profile, sensory aspects reformulated evaluated. data showed that has a high concentration dietary fiber (43.75%) 27.70% lipids. biscuit 10% replaced 4.29% total 22.61% lipids, whereas made substituting 20%...

Although one can find several pattern recognition techniques out there, there is still room for improvements and new approaches. In this book chapter, we revisited the Optimum-Path Forest (OPF) classifier, which has been evaluated over the last years in a number of applications that consider supervised, semi-supervised and unsupervised learning problems. We also presented a brief compilation of...

Methodologies involves both process elements and product elements. The OPEN Process Framework (OPF) focusses largely on process elements in the context of object-oriented systems development. The Tropos metamodel, on the other hand, focusses on early requirements engineering support for agent-oriented development. In a project to extend the OPF to support agentoriented developments, we investig...