An optimal power management solution is a potential tool to produce cost-effective and environmentally friendly supply using renewable energy sources (RESs) for the electrical network. Therefore, article introduces novel optimization algorithm inspired by vitality, namely, Manta Ray Foraging Optimization (MRFO), figure out both multi- single-objective problems of flow (OPF) incorporating stocha...

The efficient solution of the AC optimal power flow (OPF) for all cases and electrical grids is not guaranteed. Heuristics, approximations relaxations have been proposed aplenty, each with pros cons. This work proposes to solve OPF binary decision trees (BDTs). starts full feasible set an instance, and, iteratively, BDTs tighten constraints/bounds that set, improve occurring by median objective...

One of the most common issues in inverters are open-circuit faults (OPF). In this scenario, a proper fault-tolerant technique must be used to improve motor performance. Although basic modulation techniques normally preferred, paper proposes discontinuous pulse-width algorithm (HD-PWM) operate five-phase under single OPF. particular, loss equalization between remaining switches after fault occur...

In this paper variation of spot price and total profits of the generating companies’ through wholesale electricity trading are discussed with and without Central Generating Stations (CGS) share and seasonal variations are also considered. It demonstrates how proper analysis of generators’ efficiencies and capabilities, types of generators owned, fuel costs, transmission losses and settling pric...

Optimal power flow (OPF) study is conducted on a power system to achieve one of the following objectives: cost/loss minimization or available transfer capability (ATC) calculation in a deregulated environment. Distributed generation (DG) is a small source of electric power conversion from nonconventional energy sources and Hybrid DGs which often the most cost-effective and reliable way to produ...

Electricity network operators use computationally demanding mathematical models to optimize AC power flow (AC-OPF). Recent work applies neural networks (NN) rather than optimization methods estimate locally optimal solutions. However, NN training data is costly and current cannot guarantee or feasible This study proposes a robust approach, which starts with small amount of seed uses iterative f...

Secondary phases, such as laves and carbides, are formed during the final solidification stages of nickel-based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can precipitate in the microstructure, like the γ'' and δ phases. This work presents an evaluation of the powerful optimum path forest (OPF) class...

This paper proposes a new artificial bee colony algorithm with quantum theory and the chaotic local search strategy (QCABC), and uses it to solve the optimal power flow (OPF) problem. Under the quantum computing theory, the QCABC algorithm encodes each individual with quantum bits to form a corresponding quantum bit string. By determining each quantum bits value, we can get the value of the ind...

We present a classification method with linear-time incremental capabilities based on the Optimum-Path Forest (OPF) classifier. The OPF considers instances as nodes of a graph where the edges’ weights are the distances between two nodes’ feature vectors. Upon this graph, a minimum spanning tree is built, and every edge connecting instances of different classes is removed, with those nodes becom...

Electric power providing companies has to deliver reliable electric power in quality and at minimum cost for the competition in deregulated environment. To know the power system security and operating state, power flows in lines and bus voltage magnitude and angle are calculated using power flow analysis, and to tune the power system for minimum operating cost while ensure security and reliabil...