Introduction: Optimal power flow (OPF) is an enhanced form of the economic dispatch (ED) optimisation problem where both active and reactive powers are treated as control variables and adjusted to minimise generation cost while observing associated power flow constraints. The constraints include but are not limited to thresholds on bus voltages, reactive power generation and the thermal ratings...

Under the competitive environments, power companies may calculate optimal power flow (OPF) in many occasions: especially for such real time applications as contingency analysis and congestion management. However, caused by congestions, etc., it is not guaranteed that OPF has the feasible solution in every calculation case. This paper proposes a new optimal power flow calculation model applicabl...

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...

Soybean (Glycine max L.) is an important crop plant which contains a high amount of oil and protein. The main goal the work was to use 13 RAPD (Random Amplified Polymorphic DNA) markers study genetic polymorphism in set 28 soybean genotypes construct dendrogram from obtained results, based on we will recommend for further breeding. In total, using markers, determined 108 fragments with average ...

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...